WEBVTT - Microsoft Activision Deal in UK and RSA Conference

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<v Speaker 1>From the Heart where Innovation, money and power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and ed Love Love.

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<v Speaker 2>I'm Caroline Hyde and Bloomberg's world headquarters in New York.

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<v Speaker 3>And I met Lovelad.

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<v Speaker 4>This is Bloomberg Technology live in San Francisco from the

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<v Speaker 4>RSA conference focus on cybersecurity. How are companies and governments

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<v Speaker 4>around the world responding to the digital threat? That's the

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<v Speaker 4>conversation Caroline will be having here.

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<v Speaker 2>Meanwhile, there is so much conversation we had around competition,

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<v Speaker 2>around earnings, and we start there with this market check ed,

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<v Speaker 2>because let's just go to where we're.

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<v Speaker 5>Seeing some of the movement.

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<v Speaker 2>Interestingly, the buying of the NASDAC today big tech on top.

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<v Speaker 2>Why because of earnings outperforming the Microsoft the Google's. Will

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<v Speaker 2>get to it in a minute, but this isn't a

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<v Speaker 2>global store. Technology actually underperforming over in Europe as some

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<v Speaker 2>of the chip makers chip related companies are actually underwhelming

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<v Speaker 2>in terms of their own performance, so we see a

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<v Speaker 2>bit of a dive. They're pulled back on the six

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<v Speaker 2>tens of percent over in European technology trading crypto.

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<v Speaker 5>Getting a real buy.

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<v Speaker 2>Is this risk on around technology and the correlation there,

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<v Speaker 2>or is this because we're still worried about a banking crisis.

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<v Speaker 2>Let's have a look quick look at what's happening in

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<v Speaker 2>terms of First Republic Bank. We're seeing yet further record

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<v Speaker 2>lows for this particular lender. We know that we have

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<v Speaker 2>some concerns around maybe a.

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<v Speaker 5>New share sale.

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<v Speaker 2>We've got Alphabet shares on the upside as its earnings

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<v Speaker 2>come thick and fast. Let's just go to some breaking

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<v Speaker 2>news though, because we do indeed have the fact that

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<v Speaker 2>Disney we understand, is suing Florida Governor Rhonda Santis. This

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<v Speaker 2>is according to CNBC as it currently stands at the moment,

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<v Speaker 2>So Disney we understand suing Florida's governor Rhonda Santis.

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<v Speaker 5>Of course, there's been.

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<v Speaker 2>A lot of political issues between the governor of that

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<v Speaker 2>particular state and indeed the autonomy of Disney around its

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<v Speaker 2>municipal area, in the way in which it finances, where

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<v Speaker 2>it works.

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<v Speaker 5>Let's get to.

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<v Speaker 2>That story in a moment. But we're going to go

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<v Speaker 2>back to some of the numbers at the moment because

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<v Speaker 2>Disney not really reacting on the news. We're up just

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<v Speaker 2>a tenth of a percent let's go back to where

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<v Speaker 2>we are seeing movement alphabet on the higher side of

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<v Speaker 2>see Google actually managed to shake off those nerves around

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<v Speaker 2>competitive threat coming from Microsoft and AI and Indy. Let's

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<v Speaker 2>talk about Microsoft. Let's talk about the fact that it

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<v Speaker 2>beats on earnings. But a big news this morning coming

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<v Speaker 2>from the UK, as we understand the shares of Activision

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<v Speaker 2>really moving on the back of that because the sixteen

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<v Speaker 2>nine billion dollar proposed takeover by Microsoft of Activision on

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<v Speaker 2>hold the UK saying I'm sorry, we don't buy it,

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<v Speaker 2>we don't like it, for by more than eleven percent,

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<v Speaker 2>even though Activision came early with its earnings.

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<v Speaker 5>Let's get to it.

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<v Speaker 2>Jennifer Ream please to say a blue meg Intelligence joins

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<v Speaker 2>us to really dive into why the UK thinks this

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<v Speaker 2>is such a competitive threat.

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<v Speaker 1>You know what they're concerned about.

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<v Speaker 6>I think are the innovations to come, you know, the

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<v Speaker 6>where the markets are moving. So we at first everybody

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<v Speaker 6>was focusing on consoles and how this might affect gaming

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<v Speaker 6>on consoles.

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<v Speaker 7>But with the UK's.

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<v Speaker 6>Concern is that things are moving to the cloud. People

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<v Speaker 6>will pay a subscription to play a game and instead

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<v Speaker 6>of downloading it, they'll have access to all sorts of

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<v Speaker 6>games on the cloud, and that's easier and it's much better.

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<v Speaker 6>It doesn't clog up their computers. And they're concerned that

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<v Speaker 6>Microsoft will dominate that area in the future because it

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<v Speaker 6>already has such a strong position in cloud now if

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<v Speaker 6>it gets all this content, and especially this kind of

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<v Speaker 6>must have content, a game like Call of Duty, that

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<v Speaker 6>it can basically exclude other cloud providers. And that's the

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<v Speaker 6>concern here.

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<v Speaker 2>Arbitrage investor is saying, Look, we've never seen an appeal

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<v Speaker 2>which Microsoft is doing work against the UK Competition Market Authority.

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<v Speaker 5>What then, of what this means for getting it still done?

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<v Speaker 2>Because they've also got European regulators looking at it, US

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<v Speaker 2>regulators looking at it.

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<v Speaker 6>Look right now, it's a real uphill climb. It's not

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<v Speaker 6>only going to be difficult to overturn this decision, it's

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<v Speaker 6>going to take a really long time. Deals can't stick

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<v Speaker 6>together for four and five years, which might be needed.

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<v Speaker 6>You know, they have a lawsuit coming up right here

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<v Speaker 6>in the United States that's supposed to start August two

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<v Speaker 6>within the Federal Trade Commission before an administrative law judge.

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<v Speaker 6>That decision would get appeal to the Commission. Let's say

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<v Speaker 6>it was for the companies, and the commissioners are the

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<v Speaker 6>very commissioners that voted to sue, so they would likely

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<v Speaker 6>reverse it, and now the appeal would go to the

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<v Speaker 6>federal courts. That timing are looking at another year and

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<v Speaker 6>a half. So you know, outside even of just the

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<v Speaker 6>difficulty substantively of overturning a CMA decision in the Competition

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<v Speaker 6>Appeal Tribunal, you also have just timing, and timing tends

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<v Speaker 6>to kill deals.

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<v Speaker 2>At the end of the day, the read across big

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<v Speaker 2>tech can't do big deals?

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<v Speaker 5>Is that really what we're left with.

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<v Speaker 6>I think it's not so much that big tech can't

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<v Speaker 6>do big deals. I think it's going to be very

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<v Speaker 6>difficult for them to do big deals. They'll get intensive scrutiny,

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<v Speaker 6>and if they do have a problem, the remedy they

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<v Speaker 6>propose has to be a really good one thorough. It

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<v Speaker 6>has to completely replace the competition that's lost by virtue

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<v Speaker 6>of the deal. That's going to be difficult to do

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<v Speaker 6>with these regulators today, to get them to accept the

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<v Speaker 6>remedy that's been offered.

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<v Speaker 2>Always fantastic to have your analysis, Jennifer Ree. You're going

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<v Speaker 2>to read her with Bloomberg intelligence. Let's get back to it, though,

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<v Speaker 2>We've got to go over to San Francisco and you've

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<v Speaker 2>got an important conversation.

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<v Speaker 4>Yeah, we are live at the RSA conference here in SF.

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<v Speaker 4>The focus cybersecurity, and we set the scene with Kevin Mandia,

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<v Speaker 4>the CEO of Mandy and of course now part of

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<v Speaker 4>the Google family.

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<v Speaker 3>Kevin, it's good to see you, Thanks for having me.

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<v Speaker 4>Let's start by saying, twenty twenty two a relatively quiet

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<v Speaker 4>year from a cybersecurity perspective. We recognize that the digital

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<v Speaker 4>threat you might have been quite well. I know you're

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<v Speaker 4>always very busy, right, your peers, many of them are

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<v Speaker 4>standing around us. Now, what is the topic of conversation today?

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<v Speaker 4>What is the focus?

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<v Speaker 1>Well, I think there's a lot of focuses.

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<v Speaker 8>When you reviewed twenty twenty two and then looking into

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<v Speaker 8>the future and twenty twenty two, I think the focus.

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<v Speaker 1>Was, Hey, there was more zero days than before.

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<v Speaker 8>We got to get better at the blocking and tackling

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<v Speaker 8>the patch management. China really innovated on our offense when

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<v Speaker 8>it came to cyber espionage we had.

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<v Speaker 3>You've gone straight to China.

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<v Speaker 4>WOHI is interesting because we recognize heightened geopolitical tensions between

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<v Speaker 4>the United States and China. Do we see a ramp

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<v Speaker 4>up in cyber activity coming from China correlate to.

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<v Speaker 8>That, well, I do, you know, my view of all

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<v Speaker 8>ideological and geopolitical conditions kind of seen in the cyber domain.

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<v Speaker 1>What I can opine on is in.

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<v Speaker 8>The cyber domain, I feel we saw more innovation, I

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<v Speaker 8>meaning more vulnerability and vulnerability research and exploitation out of China.

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<v Speaker 8>That to me was innovative, It was creative and advanced,

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<v Speaker 8>and we saw them.

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<v Speaker 1>Doing better operational security.

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<v Speaker 8>So in that regard, offense with cyber espionage techniques out

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<v Speaker 8>of China had perhaps its best greatest one year in

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<v Speaker 8>advancement in my thirty year career.

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<v Speaker 4>Mandian as it's been in the news cycle, has also

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<v Speaker 4>been focused on activity in North Korea, particularly around RNSOM.

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<v Speaker 4>We recognize that President Biden hosts his South Korean counterpart

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<v Speaker 4>in the coming days. How much is that a threat

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<v Speaker 4>At the moment, it seems somewhat random ransome activity that

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<v Speaker 4>comes out of North.

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<v Speaker 8>Well, you know, when you look at ransomware in particular,

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<v Speaker 8>we saw actually a decrease in the over eleven hundred

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<v Speaker 8>cases where we were hired to investigate what happened and

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<v Speaker 8>what to do about it. We saw our ransomware investigations

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<v Speaker 8>actually go down, but when we do threat research or

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<v Speaker 8>respond to North Korean threat groups, we are seeing them

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<v Speaker 8>hap to make money and those intrusions that are usually

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<v Speaker 8>more indiscriminate, you know, it's kind of like attacker. We

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<v Speaker 8>can and do some mining and things of that nature.

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<v Speaker 4>It's basically been a year since Mandian joined Google Google Cloud.

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<v Speaker 4>What's that transition been Like? You're a founder CEO essentially, right,

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<v Speaker 4>do you remain entrepreneurial?

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<v Speaker 3>How do you operate within a big BA slide?

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<v Speaker 8>Well, so, you know, first, I don't feel that much

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<v Speaker 8>of a change. We had tremendous alignment between what Mandian's

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<v Speaker 8>vision of, you know, their cybersecurity future was and what

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<v Speaker 8>Google Cloud's vision for what they want to do in cybersecurity.

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<v Speaker 8>When you have that kind of alignment, it's kind of

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<v Speaker 8>like two armies marching in the same direction towards the

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<v Speaker 8>same goal. So it was easy to come in and integrate.

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<v Speaker 8>I haven't felt change. We're still responding to breaches that matter.

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<v Speaker 8>We're still advising customers on the consulting side how to

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<v Speaker 8>transform your security programs.

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<v Speaker 1>I think the big change.

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<v Speaker 8>Back to your first question, which was kind of you know,

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<v Speaker 8>what was twenty twenty two? What are we looking forward to?

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<v Speaker 8>We are coming up on a shift change in security.

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<v Speaker 8>You know, Cloud was a shift change in security where

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<v Speaker 8>people had to recognize you could do security from the

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<v Speaker 8>cloud or you had to do it for the cloud.

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<v Speaker 8>Now we have AI coming out right and it's going

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<v Speaker 8>to be a shift change.

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<v Speaker 4>And you finally took us that absolutely so so generative AI.

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<v Speaker 4>I mean, how does it change defense?

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<v Speaker 1>Oh totally yeah.

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<v Speaker 8>So you know, the best analogy I have, because the

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<v Speaker 8>ways that it can do it is probably too quick

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<v Speaker 8>for a sound bite, is I remember when Tesla one

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<v Speaker 8>day just updated and my car could drive itself. I remember, yeah, absolutely,

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<v Speaker 8>and I remember going, oh, there's no way it can

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<v Speaker 8>drive itself.

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<v Speaker 1>And first day I'm gripping the wheel.

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<v Speaker 8>Second day, I'm on the two to eighty and I'm like,

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<v Speaker 8>it worked.

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<v Speaker 1>I think, AI, you're going to.

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<v Speaker 8>See some of the most rapid answers where security challenges

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<v Speaker 8>that were very hard, like great identity security, suddenly we go, wow,

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<v Speaker 8>we're great at it now. So you're going to see

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<v Speaker 8>advancements coming at speeds.

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<v Speaker 4>Well, advancements. I mean, how are you integrating Bard very quickly?

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<v Speaker 4>Because that is where Google has shown his hands.

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<v Speaker 8>Well, we're creating, you know, for the security use case.

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<v Speaker 8>You know, the way I look at is kind of

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<v Speaker 8>coming from the other side. So is BARD coming at

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<v Speaker 8>you for generative AI. But I'm looking at it from

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<v Speaker 8>the vertex point and looking at it from We need

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<v Speaker 8>our own models in security so that we can determine

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<v Speaker 8>anomalies to log ons, anomalies for processes. The security use

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<v Speaker 8>case is going to have different data, different machine learning models,

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<v Speaker 8>So I kind of look at it from that standpoint.

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<v Speaker 8>But I can feel the shift change coming. It will

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<v Speaker 8>be real and complex challenges are suddenly going to get

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<v Speaker 8>easier for us?

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<v Speaker 3>Yes or no? Are you making money for Google?

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<v Speaker 1>Am I making money? Yes?

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<v Speaker 3>Yes or no?

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<v Speaker 4>Will you be there in a year's time, still part

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<v Speaker 4>of that bigger company?

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<v Speaker 1>Yeah?

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<v Speaker 4>Kevin Mandia, CEO of Mandy and thank you heart Caroline

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<v Speaker 4>of Google Cloud from RSA you in New York.

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<v Speaker 5>It's what a great punch the interview ed.

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<v Speaker 3>Thank you so much.

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<v Speaker 2>Let's look at the parent company of Google, Alphabet of

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<v Speaker 2>course actually managing to post better than expected earnings for

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<v Speaker 2>the fiscal first quarter showing really resilience in the face

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<v Speaker 2>of new AI fueled search competition, also finally breaking even

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<v Speaker 2>when it comes to cloud places. Say we can dig

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<v Speaker 2>into Alphabet with Daniel Newman, his principal analyst at Full

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<v Speaker 2>Term Research for joining us now and what are you

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<v Speaker 2>seeing Dan at the moment in terms of Alphabet's shares rising.

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<v Speaker 2>The fact that this doesn't seem to be a worry

0:10:37.280 --> 0:10:40.440
<v Speaker 2>that Chat GPT, Open Ai, Microsoft Being are really eroding

0:10:40.440 --> 0:10:41.720
<v Speaker 2>some of their competitive power.

0:10:43.000 --> 0:10:44.840
<v Speaker 9>I think it's going to be a little bit longer

0:10:44.920 --> 0:10:47.160
<v Speaker 9>before we start to see the real impact on search.

0:10:47.280 --> 0:10:50.200
<v Speaker 9>Of course, we saw open ai and chat Gpt integrated

0:10:50.200 --> 0:10:52.880
<v Speaker 9>into Being and that brought up some concern. But the

0:10:52.960 --> 0:10:55.559
<v Speaker 9>core business model and where people land to do search

0:10:55.600 --> 0:10:57.400
<v Speaker 9>today is still on Google.

0:10:57.559 --> 0:10:59.800
<v Speaker 10>And that is also why we saw this big in

0:11:00.280 --> 0:11:01.480
<v Speaker 10>topic rise about.

0:11:01.160 --> 0:11:04.240
<v Speaker 9>Say Samsung and whether or not Microsoft should be investing

0:11:04.240 --> 0:11:07.040
<v Speaker 9>big to put search on the mobile devices because right

0:11:07.080 --> 0:11:10.160
<v Speaker 9>now the first place people do go to search is

0:11:10.200 --> 0:11:11.000
<v Speaker 9>still Google.

0:11:11.080 --> 0:11:13.360
<v Speaker 10>But Microsoft is making this interesting again.

0:11:14.040 --> 0:11:17.080
<v Speaker 2>Certainly is and Microsoft really talking up it's AI investments.

0:11:17.120 --> 0:11:20.480
<v Speaker 2>The focus on how they beef up compute power in

0:11:20.520 --> 0:11:25.400
<v Speaker 2>their earnings as well is Alphabet managing to convince investors

0:11:25.400 --> 0:11:28.559
<v Speaker 2>that it too is still an AI leader because it's

0:11:28.559 --> 0:11:29.840
<v Speaker 2>managed to underwhelm us far.

0:11:31.120 --> 0:11:31.320
<v Speaker 10>Yeah.

0:11:31.360 --> 0:11:33.240
<v Speaker 9>I think they were forced to come out with their

0:11:33.280 --> 0:11:35.760
<v Speaker 9>hand a little bit earlier than they had anticipated and

0:11:35.760 --> 0:11:38.960
<v Speaker 9>wanted to, and that caused a little bit of consternation

0:11:39.120 --> 0:11:42.680
<v Speaker 9>when that first launch is barred, didn't go exactly as planned.

0:11:42.960 --> 0:11:46.040
<v Speaker 9>I use all these tools, and I'm also someone that's

0:11:46.040 --> 0:11:50.120
<v Speaker 9>been following the innovation, the investment, and I think it

0:11:50.120 --> 0:11:53.160
<v Speaker 9>would be really early to rule Google or Alphabet out.

0:11:53.240 --> 0:11:55.160
<v Speaker 9>You see what they're doing with Brain and deep mind,

0:11:55.200 --> 0:11:58.439
<v Speaker 9>the investments that they're making. No question, Microsoft got a

0:11:58.480 --> 0:12:00.240
<v Speaker 9>first move or advantage put a lot a lot of

0:12:00.280 --> 0:12:01.360
<v Speaker 9>companies on their heels.

0:12:01.679 --> 0:12:03.079
<v Speaker 10>We saw Google had to.

0:12:03.040 --> 0:12:05.480
<v Speaker 9>Follow, Aws has had to follow a number of other

0:12:05.520 --> 0:12:10.079
<v Speaker 9>companies have. But I think multiple companies succeeding and investing

0:12:10.240 --> 0:12:12.800
<v Speaker 9>is going to bring innovation to the consumer, to the enterprise,

0:12:12.840 --> 0:12:15.760
<v Speaker 9>and that's actually good if there is no declarative winner

0:12:15.800 --> 0:12:16.240
<v Speaker 9>this early.

0:12:16.920 --> 0:12:21.040
<v Speaker 2>Of course, the real power behind profits, behind revenue for

0:12:21.040 --> 0:12:22.760
<v Speaker 2>Alphabet is the search.

0:12:23.240 --> 0:12:24.679
<v Speaker 5>But what about cloud?

0:12:25.080 --> 0:12:27.840
<v Speaker 2>How much is this folding into the AI provision that

0:12:27.840 --> 0:12:31.079
<v Speaker 2>we so clearly see with Microsoft and Azure and also

0:12:31.120 --> 0:12:32.280
<v Speaker 2>here at other competitors.

0:12:33.360 --> 0:12:35.480
<v Speaker 10>I think this inflection is actually going to be good.

0:12:35.520 --> 0:12:37.720
<v Speaker 9>That the company turned a profit for the first time

0:12:37.760 --> 0:12:40.080
<v Speaker 9>in this quarter. It was a small profit, but they've

0:12:40.120 --> 0:12:43.760
<v Speaker 9>been mounting up some significant losses but had been continued

0:12:43.800 --> 0:12:47.640
<v Speaker 9>to invest in the infrastructure required to move into different regions.

0:12:47.320 --> 0:12:48.199
<v Speaker 10>In different zones.

0:12:48.840 --> 0:12:51.040
<v Speaker 9>I think companies that have maybe been on the fence

0:12:51.160 --> 0:12:53.920
<v Speaker 9>about utilizing Google Cloud may feel little more comfortable seeing

0:12:53.920 --> 0:12:57.960
<v Speaker 9>that this company has turned a corner in terms of profitability.

0:12:58.080 --> 0:13:01.120
<v Speaker 10>And also Google because it's reputation.

0:13:00.840 --> 0:13:02.720
<v Speaker 9>In data in AI and there is a lot of

0:13:02.720 --> 0:13:06.640
<v Speaker 9>strength there that should help them as companies turn to

0:13:06.760 --> 0:13:09.200
<v Speaker 9>multi cloud. So while Google may not win all the

0:13:09.240 --> 0:13:12.520
<v Speaker 9>cloud business, that's where AWS has been incredibly successful in.

0:13:12.559 --> 0:13:13.360
<v Speaker 10>Azure as well.

0:13:13.920 --> 0:13:16.440
<v Speaker 9>Google will start to become part of the equation in

0:13:16.480 --> 0:13:19.280
<v Speaker 9>these enterprise cloud deployments and I think that's going to

0:13:19.320 --> 0:13:21.319
<v Speaker 9>be a big part of them staying on pace for.

0:13:21.320 --> 0:13:22.600
<v Speaker 10>Growth, and that's what they did this quarter.

0:13:22.679 --> 0:13:25.160
<v Speaker 9>You saw twenty eight percent here versus twenty seven percent

0:13:25.200 --> 0:13:25.800
<v Speaker 9>over at Azure.

0:13:26.840 --> 0:13:29.320
<v Speaker 2>Really smart to read across the whole space for AI

0:13:29.360 --> 0:13:30.720
<v Speaker 2>with you, Daniel Newman.

0:13:30.800 --> 0:13:34.000
<v Speaker 5>Of course, Future and Research. We appreciate the expertise.

0:13:34.080 --> 0:13:36.360
<v Speaker 2>Meanwhile, let's turn to another key tech john that are

0:13:36.360 --> 0:13:39.360
<v Speaker 2>going to report soon. It's Meta reporting results off the Bell.

0:13:39.440 --> 0:13:41.959
<v Speaker 2>To be specific, when we make Sarah frag joins us Phillip,

0:13:42.000 --> 0:13:43.840
<v Speaker 2>what are we going to expect from Meta because we

0:13:43.920 --> 0:13:46.360
<v Speaker 2>know it's a tough macro environment in terms of sales.

0:13:46.440 --> 0:13:48.120
<v Speaker 5>Is it all about the costs the efficiency?

0:13:49.760 --> 0:13:53.360
<v Speaker 11>That was the narrative last quarter that Mark Zuckerberg's CEO

0:13:53.480 --> 0:13:55.199
<v Speaker 11>really pushed is that this is.

0:13:55.160 --> 0:13:56.720
<v Speaker 3>A new era for the company.

0:13:56.720 --> 0:13:59.439
<v Speaker 11>They're going to be cutting costs, They're going to be

0:13:59.559 --> 0:14:03.480
<v Speaker 11>trying to be faster on their product more efficient. But

0:14:03.559 --> 0:14:07.560
<v Speaker 11>I think that beyond that efficiency talk, you know, we'll

0:14:07.559 --> 0:14:09.920
<v Speaker 11>see if it's been enough. They have announced a lot

0:14:09.920 --> 0:14:12.560
<v Speaker 11>of cuts of their workforce, They've announced a lot of

0:14:12.760 --> 0:14:16.320
<v Speaker 11>ways that they're slimming down their their product line. Is

0:14:16.400 --> 0:14:19.440
<v Speaker 11>are investors going to be satisfied with that? Considering the

0:14:19.480 --> 0:14:23.240
<v Speaker 11>fact that their main products are still slowing in growth

0:14:23.360 --> 0:14:26.840
<v Speaker 11>and the advertising market is still very tough. If we

0:14:26.920 --> 0:14:31.040
<v Speaker 11>see a resurgence in demand from advertisers, I think investors

0:14:31.040 --> 0:14:33.640
<v Speaker 11>will be really happy about that. If we see continued

0:14:33.720 --> 0:14:36.960
<v Speaker 11>growth of Facebook and Instagram, I think investors will be

0:14:36.960 --> 0:14:41.000
<v Speaker 11>happy about that. But I think overall this company, it's

0:14:41.040 --> 0:14:43.360
<v Speaker 11>going to be closely watched what they what they're really

0:14:43.400 --> 0:14:48.480
<v Speaker 11>thinking strategically, efficiency is not a strategic product plan, it's

0:14:48.720 --> 0:14:53.160
<v Speaker 11>it's a commitment, right, And so are they about the metaverse?

0:14:53.200 --> 0:14:56.160
<v Speaker 11>Are they about AI? What's what's the real vision for

0:14:56.240 --> 0:14:58.920
<v Speaker 11>the future of meta And I think people will really

0:14:58.960 --> 0:15:00.680
<v Speaker 11>be hanging on with zuckerber that's about that.

0:15:00.760 --> 0:15:02.520
<v Speaker 2>Yeah, you take us there, because it's going to be

0:15:02.520 --> 0:15:06.720
<v Speaker 2>the fourth straight revenue decline, fourth straight quarter of revenue declines.

0:15:06.760 --> 0:15:10.000
<v Speaker 2>We're expecting analysts expecting could see daily active users of

0:15:10.040 --> 0:15:12.440
<v Speaker 2>more than two billion, monthly active users of more than

0:15:12.480 --> 0:15:13.120
<v Speaker 2>three billion.

0:15:13.160 --> 0:15:14.880
<v Speaker 5>So it's still such a juggernauts sir.

0:15:15.040 --> 0:15:16.960
<v Speaker 2>But how much do you think we are going to

0:15:16.960 --> 0:15:18.880
<v Speaker 2>hear this pivot to artificial intelligence?

0:15:18.960 --> 0:15:20.040
<v Speaker 5>Is that going to be the lexicon?

0:15:20.200 --> 0:15:22.480
<v Speaker 2>Or do we have to realize that they're still willing

0:15:22.520 --> 0:15:24.440
<v Speaker 2>to take losses on the investment in the metaverse?

0:15:25.200 --> 0:15:27.600
<v Speaker 11>Well, Zuckerberg has to be careful because he can't just

0:15:27.640 --> 0:15:30.840
<v Speaker 11>cut out and say AI is our new north star

0:15:31.000 --> 0:15:35.560
<v Speaker 11>because they just went through a complete rebrand of Facebook

0:15:35.560 --> 0:15:39.840
<v Speaker 11>into meta and said that the metaverse was the future.

0:15:40.000 --> 0:15:41.800
<v Speaker 11>So I think what they're going to have to do

0:15:41.920 --> 0:15:45.240
<v Speaker 11>is is And we've seen it a little bit from

0:15:45.320 --> 0:15:50.560
<v Speaker 11>Nick Klay yesterday on Bloomberg Television saying that you can't

0:15:50.600 --> 0:15:53.880
<v Speaker 11>have the metaverse without AI and sort of making AI

0:15:54.040 --> 0:15:57.520
<v Speaker 11>part of the metaverse vision. So it gets a little squishier.

0:15:57.520 --> 0:15:59.840
<v Speaker 11>But I think that what we're hearing from employees is

0:16:00.000 --> 0:16:04.880
<v Speaker 11>certainly more focused on AI. But Meta risks looking like

0:16:04.920 --> 0:16:08.360
<v Speaker 11>they're following again the pressures we were talking about, the

0:16:08.360 --> 0:16:11.680
<v Speaker 11>competitive pressure from CHATTYBT and Microsoft. Even though Meta has

0:16:11.760 --> 0:16:14.400
<v Speaker 11>been very investing in this market for a long time.

0:16:14.520 --> 0:16:16.840
<v Speaker 2>We hear how many times they use the turn of

0:16:16.880 --> 0:16:19.360
<v Speaker 2>phrase lama its own large language model. We thank you

0:16:19.400 --> 0:16:23.000
<v Speaker 2>so much, Sarah Fryar ahead of all things Meta. Meanwhile,

0:16:23.280 --> 0:16:27.320
<v Speaker 2>ed all things cyber for you, right.

0:16:27.360 --> 0:16:31.600
<v Speaker 4>We focus on the talent needed to combat cybersecurity threats

0:16:31.680 --> 0:16:35.640
<v Speaker 4>with Morgan Danski NC Cybersecurity Collaboration Center Chief.

0:16:35.880 --> 0:16:38.000
<v Speaker 3>That's coming up next. This is Bloomberg.

0:16:58.600 --> 0:17:01.600
<v Speaker 4>We'relive at the RSA Friends here in San Francisco. The

0:17:01.680 --> 0:17:06.359
<v Speaker 4>focus cyber security, and we turn to USA battle for

0:17:06.440 --> 0:17:12.359
<v Speaker 4>talent to combat threats and cybersecurity. Morgan Adamski NSA, Cybersecurity

0:17:12.400 --> 0:17:16.560
<v Speaker 4>Collaboration Center Chief you have a target three thousand new

0:17:16.640 --> 0:17:19.439
<v Speaker 4>staff by next year, Why do you need three thousand

0:17:19.520 --> 0:17:21.400
<v Speaker 4>more people operating within your agency?

0:17:21.520 --> 0:17:24.119
<v Speaker 12>Absolutely, so we continue to have to grow the talent.

0:17:24.200 --> 0:17:27.040
<v Speaker 12>We need people with different backgrounds. As we have attrition

0:17:27.160 --> 0:17:30.360
<v Speaker 12>and people leave, we need to continue to fill that pipeline.

0:17:30.400 --> 0:17:32.960
<v Speaker 12>And so we need people that just are ready to

0:17:33.000 --> 0:17:35.200
<v Speaker 12>fulfill the mission and have purpose. And so we're excited.

0:17:35.359 --> 0:17:37.480
<v Speaker 12>It's our biggest hiring year to date.

0:17:37.800 --> 0:17:40.400
<v Speaker 4>When our global audience thinks about NSA, that they think

0:17:40.440 --> 0:17:42.800
<v Speaker 4>about all the sorts of security threats. But where is

0:17:42.840 --> 0:17:45.080
<v Speaker 4>your focus when it comes to cybersecurity?

0:17:45.119 --> 0:17:46.360
<v Speaker 3>What are you working on day to day?

0:17:46.480 --> 0:17:49.120
<v Speaker 12>Yes, the People's Republic of China is the pacing threat

0:17:49.200 --> 0:17:49.479
<v Speaker 12>right right?

0:17:49.480 --> 0:17:50.920
<v Speaker 3>You went right there, straight to China.

0:17:50.960 --> 0:17:53.280
<v Speaker 4>How does that? How does that look? What sorts of threats?

0:17:53.359 --> 0:17:54.560
<v Speaker 4>Is this ransomware?

0:17:54.680 --> 0:17:55.639
<v Speaker 3>What do you we did?

0:17:55.720 --> 0:18:00.000
<v Speaker 12>It's more so that persistent broad threat cyber espionage preposition,

0:18:00.400 --> 0:18:04.600
<v Speaker 12>looking for opportunities to gain information, to steal intellectual property.

0:18:04.880 --> 0:18:08.440
<v Speaker 12>It is the broadest, most pervasive threat that we face

0:18:08.480 --> 0:18:09.120
<v Speaker 12>every single day.

0:18:09.240 --> 0:18:14.280
<v Speaker 4>The bind administration has set broad cybersecurity goals, everything matching

0:18:14.320 --> 0:18:18.800
<v Speaker 4>your efforts in hiring, to competency in cybersecurity. What kind

0:18:18.800 --> 0:18:21.840
<v Speaker 4>of energy is that given you in your agency?

0:18:23.200 --> 0:18:25.520
<v Speaker 12>A lot of energy. We're very excited because we have

0:18:25.560 --> 0:18:27.440
<v Speaker 12>a lot of people coming out of college, but people

0:18:27.520 --> 0:18:29.720
<v Speaker 12>that want to have, you know, mid career changes to

0:18:29.720 --> 0:18:33.159
<v Speaker 12>come into cybersecurity, and so it's really invigorated us to

0:18:33.240 --> 0:18:36.320
<v Speaker 12>go out recruit, talk about our mission publicly and bring

0:18:36.359 --> 0:18:37.600
<v Speaker 12>in as many people as possible.

0:18:38.359 --> 0:18:40.280
<v Speaker 4>Morgan, how many times a day do you say the

0:18:40.320 --> 0:18:41.359
<v Speaker 4>words generative and.

0:18:41.400 --> 0:18:42.800
<v Speaker 3>AI A lot?

0:18:42.880 --> 0:18:45.760
<v Speaker 4>Recently we talked about it massive. What does it matter

0:18:45.840 --> 0:18:47.160
<v Speaker 4>to you AI right now?

0:18:47.680 --> 0:18:48.160
<v Speaker 7>Right now?

0:18:48.240 --> 0:18:51.200
<v Speaker 12>You know, Generative AI has been something that we've really

0:18:51.240 --> 0:18:53.280
<v Speaker 12>focused on for a long time, but it's right now

0:18:53.359 --> 0:18:55.119
<v Speaker 12>Obviously at the forefront of everyone's minds.

0:18:55.400 --> 0:18:56.240
<v Speaker 7>They want to talk.

0:18:56.080 --> 0:18:59.280
<v Speaker 12>About both the benefits and the risks. What's really important

0:18:59.359 --> 0:19:02.000
<v Speaker 12>is that we're having that conversation up front as we

0:19:02.040 --> 0:19:04.000
<v Speaker 12>start to really understand the technologies and how we can

0:19:04.040 --> 0:19:04.800
<v Speaker 12>take advantage of it.

0:19:05.400 --> 0:19:07.320
<v Speaker 4>Earlier in the year, when we were at CS we

0:19:07.359 --> 0:19:10.159
<v Speaker 4>spoke to Jenny Slie of CISA, and she had a

0:19:10.160 --> 0:19:13.159
<v Speaker 4>message which was Corporate America needs to do more. We

0:19:13.160 --> 0:19:18.159
<v Speaker 4>need companies of all sizes detecting threats earlier, designing safeguards

0:19:18.160 --> 0:19:21.960
<v Speaker 4>into whatever product they're working on. Absolutely, who leads this charge?

0:19:22.320 --> 0:19:24.919
<v Speaker 4>You the private sector, do you work together?

0:19:25.240 --> 0:19:27.120
<v Speaker 12>We work together. It's going to take all of us

0:19:27.280 --> 0:19:29.399
<v Speaker 12>to do secure by design type products and build it

0:19:29.400 --> 0:19:32.359
<v Speaker 12>into the foundation. Cybersecurity is a mindset, it's not a

0:19:32.400 --> 0:19:34.640
<v Speaker 12>skill set, and so we really have to just think

0:19:34.640 --> 0:19:37.800
<v Speaker 12>about how are we taking all the necessary measures to

0:19:37.840 --> 0:19:39.879
<v Speaker 12>make sure when we build technology it's there for the

0:19:39.880 --> 0:19:40.800
<v Speaker 12>future and it's secure.

0:19:40.880 --> 0:19:43.320
<v Speaker 4>Going back to that hiring target then and skill set.

0:19:43.720 --> 0:19:47.120
<v Speaker 4>Are those three thousand people you're looking for actually out there?

0:19:47.400 --> 0:19:49.600
<v Speaker 4>Are you worried about sort of a deficit in skill

0:19:49.640 --> 0:19:50.440
<v Speaker 4>in this country?

0:19:50.840 --> 0:19:53.359
<v Speaker 12>No, those people are out there. They don't necessarily have

0:19:53.400 --> 0:19:56.919
<v Speaker 12>to have degrees in cybersecurity or backgrounds and engineering. Sometimes

0:19:56.920 --> 0:19:59.400
<v Speaker 12>it's just people who like to solve problems and think

0:19:59.440 --> 0:20:01.520
<v Speaker 12>about the problem in a different way. So we're really

0:20:01.520 --> 0:20:03.160
<v Speaker 12>looking for all walks of life when we talk about

0:20:03.160 --> 0:20:04.280
<v Speaker 12>those three thousand employees.

0:20:04.480 --> 0:20:07.280
<v Speaker 4>After China, what is the next big thing that keeps

0:20:07.320 --> 0:20:07.920
<v Speaker 4>you up at night?

0:20:08.640 --> 0:20:10.720
<v Speaker 12>What keeps me up at night is the workforce? Is

0:20:10.760 --> 0:20:12.399
<v Speaker 12>the development To be completely honest with you, when you

0:20:12.400 --> 0:20:15.120
<v Speaker 12>talk about threats, though it's probably Russia, they're a multi

0:20:15.160 --> 0:20:16.960
<v Speaker 12>prong threat and it's something that we focus on every

0:20:17.000 --> 0:20:17.480
<v Speaker 12>day as well.

0:20:17.840 --> 0:20:21.639
<v Speaker 4>There is heightened geopolitical tension between the US and China

0:20:21.840 --> 0:20:24.240
<v Speaker 4>and Russia, going back to the war in Ukraine. Does

0:20:24.280 --> 0:20:28.159
<v Speaker 4>the ramp up in cyber threat mirror that ramp up

0:20:28.160 --> 0:20:29.560
<v Speaker 4>in geopolitical tension.

0:20:29.760 --> 0:20:30.400
<v Speaker 5>Absolutely.

0:20:30.640 --> 0:20:32.520
<v Speaker 12>We see a lot of our cyber actors both in

0:20:32.600 --> 0:20:36.159
<v Speaker 12>China and Russia, but also activists in cyber criminals learning

0:20:36.160 --> 0:20:38.879
<v Speaker 12>from what's happening every single day, and so they're just

0:20:39.080 --> 0:20:42.440
<v Speaker 12>learning techniques that they're now employing broad skill.

0:20:43.040 --> 0:20:46.639
<v Speaker 4>All right, Morgan Adamski and a say, Cybersecurity Collaboration Center chief,

0:20:46.640 --> 0:20:47.879
<v Speaker 4>Thank you, Caroline Talent.

0:20:48.240 --> 0:20:49.159
<v Speaker 3>Just one conversation.

0:20:49.280 --> 0:20:52.040
<v Speaker 4>This is an industry in public sector that is hiring

0:20:52.119 --> 0:20:52.560
<v Speaker 4>right now.

0:20:53.160 --> 0:20:53.400
<v Speaker 7>Wow.

0:20:53.480 --> 0:20:55.320
<v Speaker 2>One of the bright spots therefore in the world of

0:20:55.359 --> 0:21:05.960
<v Speaker 2>technology seems to be resilient. Welcome back to Blue Meg Technology.

0:21:06.000 --> 0:21:09.280
<v Speaker 2>I'm Caroline Hyde in New York.

0:21:08.640 --> 0:21:11.040
<v Speaker 4>And I'm Ed Ludlow live here at the RSA conference

0:21:11.119 --> 0:21:15.480
<v Speaker 4>in San Francisco. Cybersecurity is what we're talking about. Industry

0:21:16.119 --> 0:21:19.440
<v Speaker 4>arriving here with generative AI kind of top of mind.

0:21:19.440 --> 0:21:22.119
<v Speaker 4>They're also thinking about what threats look like right now.

0:21:22.200 --> 0:21:24.479
<v Speaker 4>So I'm going to bring in CrowdStrike CEO George Kurtz

0:21:24.960 --> 0:21:26.720
<v Speaker 4>here with me on site.

0:21:26.960 --> 0:21:28.320
<v Speaker 3>This is what you've been talking about.

0:21:28.480 --> 0:21:32.080
<v Speaker 4>The sophistication of what your industry faces, what the public

0:21:32.119 --> 0:21:35.240
<v Speaker 4>sector face is what are the biggest threats out there

0:21:35.280 --> 0:21:38.080
<v Speaker 4>to you and what have you found in the first

0:21:38.160 --> 0:21:39.120
<v Speaker 4>four months of this year.

0:21:39.800 --> 0:21:42.480
<v Speaker 7>Well, we talk a lot about nation state threats, which

0:21:42.480 --> 0:21:45.399
<v Speaker 7>are certainly prevalent and will always be prevalent. One of

0:21:45.480 --> 0:21:48.639
<v Speaker 7>the things that we actually did a keynote on myself

0:21:48.640 --> 0:21:51.360
<v Speaker 7>and Mike Sintonis was on e crime and we took

0:21:51.359 --> 0:21:54.280
<v Speaker 7>a representative case study of some e crime groups and

0:21:54.280 --> 0:21:58.440
<v Speaker 7>really talked about the sophistication level. While it's sophisticated, it's

0:21:58.480 --> 0:22:01.560
<v Speaker 7>actually relatively easy to get into many organizations. You could

0:22:01.560 --> 0:22:04.119
<v Speaker 7>just buy access. And then a big focus for the

0:22:04.160 --> 0:22:07.879
<v Speaker 7>e crime groups now is actually not even encrypting the

0:22:08.080 --> 0:22:11.280
<v Speaker 7>end users data, but to actually steal it first and

0:22:11.320 --> 0:22:15.000
<v Speaker 7>then extort the company to make sure that they get

0:22:15.000 --> 0:22:17.240
<v Speaker 7>paid before they lead the data on the web.

0:22:17.280 --> 0:22:18.960
<v Speaker 3>What is the rationale of the threat actor?

0:22:18.960 --> 0:22:21.040
<v Speaker 4>I think that there's this idea, if you take ransomware

0:22:21.080 --> 0:22:25.320
<v Speaker 4>as an example, that that activity is just indiscriminate. They

0:22:25.400 --> 0:22:28.000
<v Speaker 4>just want money, So they go after whoever they want.

0:22:28.119 --> 0:22:30.159
<v Speaker 7>Well, they want money, and they go after where the

0:22:30.160 --> 0:22:32.640
<v Speaker 7>money's at, right. They go after the bigger companies, they

0:22:32.640 --> 0:22:36.520
<v Speaker 7>go after source code, they go after companies that they

0:22:36.560 --> 0:22:39.879
<v Speaker 7>know could pay. From a public embarrassment perspective, but you're right,

0:22:39.920 --> 0:22:43.199
<v Speaker 7>there's a bit of indiscriminate access that if they have it,

0:22:43.200 --> 0:22:45.480
<v Speaker 7>they're going to try it. Whether it's a hospital, whether

0:22:45.520 --> 0:22:49.280
<v Speaker 7>it's a large company, whether it's a government organization. They

0:22:49.320 --> 0:22:50.840
<v Speaker 7>want to get paid from everyone.

0:22:51.080 --> 0:22:53.600
<v Speaker 4>We just talked to the NSA about trying to hire

0:22:53.720 --> 0:22:58.320
<v Speaker 4>talent in the public sector in this country. You post

0:22:58.400 --> 0:23:03.080
<v Speaker 4>strong earnings, strong top line growth, How seriously does corporate

0:23:03.119 --> 0:23:08.720
<v Speaker 4>America take the threats digital threats, cyber threats. Well, you're

0:23:08.760 --> 0:23:10.480
<v Speaker 4>just waking up to this now, or do you see

0:23:10.480 --> 0:23:11.440
<v Speaker 4>sort of consistency.

0:23:11.600 --> 0:23:14.240
<v Speaker 7>I think it's consistent, and it's been consistent over the

0:23:14.280 --> 0:23:17.480
<v Speaker 7>last probably five years. From a boardroom perspective, I think

0:23:17.520 --> 0:23:20.280
<v Speaker 7>it's moved from an annoyance of having a PC that's

0:23:20.280 --> 0:23:23.520
<v Speaker 7>infected to potentially systemic risk to a business when the

0:23:23.640 --> 0:23:27.880
<v Speaker 7>entire business is ransomed and their systems are rendered useless.

0:23:27.920 --> 0:23:31.000
<v Speaker 7>So it is the number one in my opinion, threat

0:23:31.280 --> 0:23:33.000
<v Speaker 7>that has talked about in the boardroom today.

0:23:33.080 --> 0:23:35.720
<v Speaker 4>Do you remember in January when we were at CS

0:23:36.119 --> 0:23:39.080
<v Speaker 4>there were thousands of people there, not that many of

0:23:39.119 --> 0:23:43.040
<v Speaker 4>them were saying generative AI. Right now everyone here is

0:23:43.080 --> 0:23:45.399
<v Speaker 4>saying generative AI. What does that mean to you? Are

0:23:45.480 --> 0:23:49.800
<v Speaker 4>you using generative AI tools to improve crowdstrikes offering? Do

0:23:49.880 --> 0:23:51.919
<v Speaker 4>you use it personally? I mean, how does it impact

0:23:51.920 --> 0:23:52.560
<v Speaker 4>your industry?

0:23:53.000 --> 0:23:56.080
<v Speaker 7>Well, I'm this is one of those fascinating technologies and

0:23:56.119 --> 0:23:57.840
<v Speaker 7>I think it's a bit of an iPhone moment for

0:23:57.960 --> 0:24:01.320
<v Speaker 7>many folks when they actually use it and get the

0:24:01.359 --> 0:24:03.719
<v Speaker 7>results out. When you think about generative AI and how

0:24:03.800 --> 0:24:07.040
<v Speaker 7>can be used in security, it can really help in automation.

0:24:07.320 --> 0:24:11.440
<v Speaker 7>There's a lot of repetitive task for a security operation center, administrator,

0:24:11.480 --> 0:24:12.880
<v Speaker 7>things of that nature, and I think that will help

0:24:12.880 --> 0:24:16.760
<v Speaker 7>revolutionize that. And we've been pioneering AI since I started

0:24:16.760 --> 0:24:19.479
<v Speaker 7>the company in twenty eleven, so it isn't a new

0:24:19.480 --> 0:24:22.360
<v Speaker 7>buzzword to us as opposed to a lot of companies.

0:24:22.480 --> 0:24:24.320
<v Speaker 7>But I think what's important when we think about generative

0:24:24.320 --> 0:24:28.320
<v Speaker 7>AI is I think it's going to compress the timeframe

0:24:28.680 --> 0:24:31.320
<v Speaker 7>that companies have to actually patch because the ability to

0:24:31.400 --> 0:24:35.200
<v Speaker 7>create exploits and take advantage of these vulnerabilities that exist

0:24:35.320 --> 0:24:38.959
<v Speaker 7>and patch Tuesday, Microsoft has, etc. It's going to compress

0:24:39.040 --> 0:24:41.160
<v Speaker 7>that time down to a very small level.

0:24:41.800 --> 0:24:48.080
<v Speaker 4>There's a debate in the fields of whether generative AI

0:24:48.200 --> 0:24:53.040
<v Speaker 4>makes tackling phishing more difficult or if it helps to

0:24:53.080 --> 0:24:57.040
<v Speaker 4>rescale the workforce You've already got to literally improve defense.

0:24:57.720 --> 0:25:00.399
<v Speaker 4>Where's your headline with that? Is this an upskiller or

0:25:00.480 --> 0:25:03.040
<v Speaker 4>is it a sort of displacement of human activity?

0:25:04.040 --> 0:25:06.119
<v Speaker 7>For me, there's always going to be humans in the loop.

0:25:06.200 --> 0:25:08.840
<v Speaker 7>And you kind of look at level one, two, and three.

0:25:08.560 --> 0:25:11.280
<v Speaker 7>If you can automate a lot of the level one

0:25:11.359 --> 0:25:15.600
<v Speaker 7>repetitive task and you can basically make level two analysts

0:25:15.640 --> 0:25:19.040
<v Speaker 7>or level three analysts more productive, you're going to hire

0:25:19.119 --> 0:25:21.240
<v Speaker 7>less of them, be their hard to actually find and

0:25:21.320 --> 0:25:25.040
<v Speaker 7>keeping their expensive. So why not automate the repartitive tasks.

0:25:25.119 --> 0:25:29.000
<v Speaker 4>At the state actor level? Where are you seeing more activity?

0:25:29.359 --> 0:25:31.120
<v Speaker 4>China or Russia?

0:25:31.960 --> 0:25:35.040
<v Speaker 7>China's pretty active, pretty active now, particularly when you look

0:25:35.040 --> 0:25:38.200
<v Speaker 7>at what's happening with Taiwan. They have a long plan.

0:25:38.760 --> 0:25:41.639
<v Speaker 3>There is that ramptop as geopolitical we've.

0:25:41.480 --> 0:25:44.200
<v Speaker 7>Seen it ramped up. Yeah, with geopolitical.

0:25:43.760 --> 0:25:47.680
<v Speaker 3>Tension and how does it manifest itself, particularly.

0:25:47.200 --> 0:25:50.320
<v Speaker 7>In the technology industry. You know, obviously there's a lot

0:25:50.359 --> 0:25:53.879
<v Speaker 7>of chips in Taiwan, so there's a lot of understanding

0:25:53.960 --> 0:25:56.480
<v Speaker 7>what's happening. There's a lot of reconnaissance. There is a

0:25:56.480 --> 0:26:00.240
<v Speaker 7>lot of just understanding even shipping lanes, you know, who's

0:26:00.240 --> 0:26:03.520
<v Speaker 7>shipping what. All of these facets of information are of

0:26:03.560 --> 0:26:06.800
<v Speaker 7>interest to the Chinese government, and they suck it all in.

0:26:06.880 --> 0:26:09.240
<v Speaker 7>It's like big data exercise for them. They suck it

0:26:09.280 --> 0:26:11.639
<v Speaker 7>all in and they build a puzzle and they're very patient.

0:26:12.359 --> 0:26:16.000
<v Speaker 4>George Kurtz Crowdshrake, CEO. We're live here at RSA, Caroline

0:26:16.040 --> 0:26:16.880
<v Speaker 4>back to you in New York.

0:26:16.960 --> 0:26:18.600
<v Speaker 2>So much more to come. Let's just get a quick

0:26:18.680 --> 0:26:20.520
<v Speaker 2>check on the markets though, as we look at what

0:26:20.640 --> 0:26:23.359
<v Speaker 2>is really tech galvanizing some risk on sentiment in the

0:26:23.480 --> 0:26:25.600
<v Speaker 2>United States. Now's that one hundred having its best day

0:26:25.600 --> 0:26:27.800
<v Speaker 2>in a couple of weeks since mid April. The reason

0:26:27.880 --> 0:26:30.119
<v Speaker 2>earning's coming in better than expected, particularly when you look

0:26:30.160 --> 0:26:31.679
<v Speaker 2>at some of the key names. I'm looking at the

0:26:31.680 --> 0:26:33.320
<v Speaker 2>S and P five hundred, which is being helped hire

0:26:33.359 --> 0:26:35.760
<v Speaker 2>by some of those tech names. But this isn't risk

0:26:35.800 --> 0:26:38.399
<v Speaker 2>gone across the rest of the market, particularly over in Europe.

0:26:38.520 --> 0:26:41.440
<v Speaker 2>You think about how Desolt Systems, it's a software company

0:26:41.560 --> 0:26:44.160
<v Speaker 2>ASM and another key chip maker there. They actually fell

0:26:44.160 --> 0:26:46.680
<v Speaker 2>in trading after their earnings. So we see a weaker

0:26:46.960 --> 0:26:50.000
<v Speaker 2>all country world index. Tech really uperforming today. Let's move

0:26:50.000 --> 0:26:51.359
<v Speaker 2>it on and look at what's happening in terms of

0:26:51.359 --> 0:26:55.240
<v Speaker 2>individual movers. An absolute wealth of news coming today. Of

0:26:55.280 --> 0:26:57.959
<v Speaker 2>course Microsoft doing well after its earnings, but also that

0:26:58.040 --> 0:27:00.000
<v Speaker 2>news that it will no longer according to the US

0:27:00.760 --> 0:27:02.360
<v Speaker 2>perhaps be able to be buying Activision.

0:27:02.400 --> 0:27:03.880
<v Speaker 5>Remember sixty nine billion dollars.

0:27:03.920 --> 0:27:05.639
<v Speaker 2>This is one of the top thirty M and A

0:27:05.760 --> 0:27:09.040
<v Speaker 2>deals ever and the UK thinks it's anti competitive according

0:27:09.080 --> 0:27:10.640
<v Speaker 2>to its Competition Market authority.

0:27:10.760 --> 0:27:12.160
<v Speaker 5>Activision Blizzard off by more than.

0:27:12.080 --> 0:27:14.000
<v Speaker 2>Ten percent as we worry about that deal going through.

0:27:14.200 --> 0:27:17.240
<v Speaker 2>Tesla off by more than three percent. Interesting fiscal on

0:27:17.280 --> 0:27:20.080
<v Speaker 2>the upside today as actually we see that this does

0:27:20.119 --> 0:27:21.840
<v Speaker 2>have a route to getting some of its cars into

0:27:21.920 --> 0:27:24.720
<v Speaker 2>the European market into the US market. By May Fiz

0:27:24.960 --> 0:27:26.680
<v Speaker 2>Tesla having a pretty bad day, actually one of the

0:27:26.680 --> 0:27:29.400
<v Speaker 2>worst performers on the NASDAK, dragging it down. But also

0:27:29.480 --> 0:27:31.800
<v Speaker 2>we've got to keep on thinking what's happening in Disney

0:27:31.840 --> 0:27:35.520
<v Speaker 2>actually trying to sue Ronda Santas, the governor of California,

0:27:35.800 --> 0:27:38.840
<v Speaker 2>not of California, the governor of what's happening in Florida

0:27:38.840 --> 0:27:40.960
<v Speaker 2>at the moment, ED, But so much more coming up

0:27:40.960 --> 0:27:42.360
<v Speaker 2>from you in terms of cyber.

0:27:43.800 --> 0:27:46.280
<v Speaker 4>Yeah, so much of that Microsoft story is about AI.

0:27:46.440 --> 0:27:49.000
<v Speaker 4>So that's where we take the conversation. Next Vasu Jacao,

0:27:49.040 --> 0:27:52.280
<v Speaker 4>who's the security chief over at Microsoft. They've already told

0:27:52.359 --> 0:27:55.800
<v Speaker 4>us how they integrated those AI tools into the security offering.

0:27:56.040 --> 0:27:58.360
<v Speaker 4>How's that driving the business? And what's she talking about here?

0:27:58.520 --> 0:28:22.399
<v Speaker 4>Or next from RSA. This is Bloomberg. Welcome back to

0:28:22.440 --> 0:28:25.480
<v Speaker 4>Bloomberg Technology. We are live at the RSA conference here

0:28:25.480 --> 0:28:26.280
<v Speaker 4>in San Francisco.

0:28:26.440 --> 0:28:27.760
<v Speaker 3>The focus cybersecurity.

0:28:27.800 --> 0:28:30.840
<v Speaker 4>But I gotta be honest, everyone's talking about generative AI,

0:28:30.920 --> 0:28:34.680
<v Speaker 4>which is fortunate because we are joined by Microsoft's VP

0:28:34.760 --> 0:28:37.720
<v Speaker 4>of Security, Vasu Jacau, and you've already gone there. You've

0:28:37.720 --> 0:28:42.440
<v Speaker 4>already told us how Microsoft integrates GPT into security co pilot.

0:28:43.600 --> 0:28:46.600
<v Speaker 4>But why what is the benefit of using AI to

0:28:46.680 --> 0:28:47.960
<v Speaker 4>boost security offering?

0:28:48.360 --> 0:28:50.560
<v Speaker 13>It's great to be here with you live, ED, thank

0:28:50.600 --> 0:28:53.360
<v Speaker 13>you for having us. We have to remember who we

0:28:53.440 --> 0:28:56.120
<v Speaker 13>are up against as we think about why we need

0:28:56.160 --> 0:28:59.880
<v Speaker 13>AI today. The threat landscape is really challenging. We've gone

0:29:00.000 --> 0:29:02.520
<v Speaker 13>from five hundred and sixty seven attacks per second to

0:29:02.560 --> 0:29:06.040
<v Speaker 13>twelve eighty seven attacks per second. That translates to tons

0:29:06.080 --> 0:29:10.440
<v Speaker 13>of billions of attacks. Cybersecurity is very complex. The average

0:29:10.480 --> 0:29:13.560
<v Speaker 13>defender is dealing with more than seventy tools at any

0:29:13.600 --> 0:29:14.880
<v Speaker 13>given time, and it.

0:29:14.880 --> 0:29:18.040
<v Speaker 5>Takes a long time for us to.

0:29:17.560 --> 0:29:20.280
<v Speaker 13>Investigate all of this work and to do strategic work.

0:29:20.560 --> 0:29:22.920
<v Speaker 5>So that's where AI is going to be a game changer.

0:29:22.920 --> 0:29:25.280
<v Speaker 13>And let's not forget the talent shortage that we're facing

0:29:25.280 --> 0:29:27.640
<v Speaker 13>as an industry. That's where AI is going to really

0:29:27.800 --> 0:29:29.200
<v Speaker 13>augment that human essence.

0:29:29.520 --> 0:29:32.760
<v Speaker 4>US Microsoft shares up more than eight percent. Investors really

0:29:32.800 --> 0:29:37.280
<v Speaker 4>bought the AI story during earnings. Security, you know, flex

0:29:37.320 --> 0:29:40.200
<v Speaker 4>a little bit. How important is your unit now within

0:29:40.640 --> 0:29:43.320
<v Speaker 4>Microsoft's offering to enterprise clients of all sizes.

0:29:43.840 --> 0:29:47.120
<v Speaker 13>YAH security is a twenty billion dollar business within Microsoft.

0:29:47.400 --> 0:29:50.000
<v Speaker 13>We offer six product lines which come together to form

0:29:50.040 --> 0:29:53.600
<v Speaker 13>one security cloud, and AI is very much at the

0:29:53.600 --> 0:29:56.640
<v Speaker 13>heart of it. We talked about Security Copilot, which is

0:29:56.640 --> 0:29:58.719
<v Speaker 13>what we announced on March twenty eight, the first and

0:29:58.760 --> 0:30:03.200
<v Speaker 13>only generative AI pro which uses open ailm technologies as

0:30:03.200 --> 0:30:06.360
<v Speaker 13>well as our Microsoft Security specific model, and we are

0:30:06.440 --> 0:30:09.600
<v Speaker 13>really seeing our customers trust us on this journey. We

0:30:09.640 --> 0:30:12.600
<v Speaker 13>have eight hundred and sixty thousand customers and six hundred

0:30:12.600 --> 0:30:16.160
<v Speaker 13>thousand customers now who are using more than four Microsoft

0:30:16.240 --> 0:30:19.479
<v Speaker 13>security products. Are really emphasizing that end to end journey

0:30:19.520 --> 0:30:19.960
<v Speaker 13>we've been on.

0:30:20.160 --> 0:30:23.160
<v Speaker 4>They trust you since that March announcement. Are they getting

0:30:23.160 --> 0:30:27.720
<v Speaker 4>their checkbooks out and buying into security products because of

0:30:27.800 --> 0:30:30.320
<v Speaker 4>the integration of the open AI technology.

0:30:30.560 --> 0:30:33.280
<v Speaker 13>They do trust us, And every single customer I have

0:30:33.520 --> 0:30:36.960
<v Speaker 13>met since we announced Security Copilot has asked us about

0:30:37.000 --> 0:30:39.880
<v Speaker 13>when Security Copilot will be available at scale. We've released

0:30:39.960 --> 0:30:42.720
<v Speaker 13>right now in private preview because it's very important for

0:30:42.840 --> 0:30:45.480
<v Speaker 13>us to work with some customers and partners. It's a

0:30:45.560 --> 0:30:47.840
<v Speaker 13>learning system. We need to train this AI. We need

0:30:47.880 --> 0:30:51.160
<v Speaker 13>to learn from our customers. But every single customer, every

0:30:51.160 --> 0:30:52.960
<v Speaker 13>single partner has asked us and we're.

0:30:52.760 --> 0:30:55.080
<v Speaker 5>Helping them lay the foundations for AI.

0:30:55.200 --> 0:30:58.800
<v Speaker 4>Right now, security has kind of seen in this emerging

0:30:59.160 --> 0:31:04.560
<v Speaker 4>growth driver for Microsoft. There's also a talent question that's

0:31:04.560 --> 0:31:08.120
<v Speaker 4>happening here on the ground at RSA. Do you need

0:31:08.160 --> 0:31:11.040
<v Speaker 4>to have people with a new skill set who have

0:31:11.080 --> 0:31:15.800
<v Speaker 4>a background in AI rather than traditional security software.

0:31:16.280 --> 0:31:19.560
<v Speaker 13>That's the beauty of this new generative AI. You know

0:31:19.640 --> 0:31:22.800
<v Speaker 13>what the most powerful coding language right now is in

0:31:22.840 --> 0:31:27.200
<v Speaker 13>the world. It's English, and that's going to help get

0:31:27.240 --> 0:31:30.280
<v Speaker 13>a whole new generation of defenders in because it's going

0:31:30.320 --> 0:31:33.440
<v Speaker 13>to reduce the barriers to entry for cybersecurity.

0:31:33.640 --> 0:31:34.800
<v Speaker 5>We have a talent.

0:31:34.520 --> 0:31:37.120
<v Speaker 13>Shortage right now, three point four million jobs. We have

0:31:37.200 --> 0:31:40.200
<v Speaker 13>a diversity challenge right now, we have a training challenge.

0:31:40.320 --> 0:31:43.160
<v Speaker 13>So imagine someone who just gets into the workforce and

0:31:43.240 --> 0:31:46.400
<v Speaker 13>can use AI as their ally to help them understand,

0:31:46.440 --> 0:31:48.800
<v Speaker 13>to help them get trained. And imagine a Tier two

0:31:48.840 --> 0:31:52.280
<v Speaker 13>analyst who is in your security operations center who can

0:31:52.360 --> 0:31:55.160
<v Speaker 13>now have AI help them with automation and augmentation so

0:31:55.280 --> 0:31:58.160
<v Speaker 13>they can then put their time on strategic decision making.

0:31:59.000 --> 0:32:01.840
<v Speaker 4>When Microsoft reported earnings, you know clearly Cloud was a

0:32:01.880 --> 0:32:05.280
<v Speaker 4>strength as one example. The macro picture is still a

0:32:05.280 --> 0:32:10.000
<v Speaker 4>bit concerning when it comes to cybersecurity. Do you see

0:32:10.040 --> 0:32:13.960
<v Speaker 4>stability in the kind of commitment to invest into cyber

0:32:14.240 --> 0:32:18.560
<v Speaker 4>security capabilities capacity even when economic times are hard. I'm

0:32:18.600 --> 0:32:20.280
<v Speaker 4>just wonder what the health of demand is.

0:32:20.720 --> 0:32:24.320
<v Speaker 13>Absolutely, we made a big commitment to cybersecurity. We're investing

0:32:24.360 --> 0:32:27.720
<v Speaker 13>twenty billion dollars in security over five years. That has started,

0:32:28.120 --> 0:32:30.880
<v Speaker 13>and we continue to see security as the top priority

0:32:30.920 --> 0:32:33.479
<v Speaker 13>for all organizations and the top spend as well as

0:32:33.480 --> 0:32:37.480
<v Speaker 13>the most defensible spent. So we'll continue investing, we'll continue innovating,

0:32:37.880 --> 0:32:39.680
<v Speaker 13>and we'll continue taking our customers on that.

0:32:39.720 --> 0:32:42.200
<v Speaker 4>Journey of USU. There are other things to talk about

0:32:42.240 --> 0:32:46.239
<v Speaker 4>beyond AI. What are the corridor conversations here? You know,

0:32:46.560 --> 0:32:48.200
<v Speaker 4>part of what we've been talking about is where the

0:32:48.240 --> 0:32:49.200
<v Speaker 4>threats are coming from?

0:32:49.240 --> 0:32:51.120
<v Speaker 3>But for you, where's your focus?

0:32:51.560 --> 0:32:54.240
<v Speaker 5>Our focus right now is end to end with AI.

0:32:54.800 --> 0:32:58.000
<v Speaker 13>And I'll leave you with this, perhaps in our hands

0:32:58.040 --> 0:33:01.360
<v Speaker 13>today is the most consequential technology that we're going to

0:33:01.360 --> 0:33:04.200
<v Speaker 13>see in our lifetimes. We all need to be included in.

0:33:04.640 --> 0:33:07.520
<v Speaker 13>That is the conversation being having in the hallways. It's

0:33:07.520 --> 0:33:09.960
<v Speaker 13>not about what technology can do, but it is what

0:33:10.080 --> 0:33:12.880
<v Speaker 13>is can humans do when empowered by this incredible AI

0:33:12.880 --> 0:33:14.080
<v Speaker 13>and incredible technology?

0:33:14.680 --> 0:33:15.120
<v Speaker 3>Yes or no?

0:33:15.240 --> 0:33:18.920
<v Speaker 4>Are you using chat GPT every single day? I am

0:33:19.280 --> 0:33:22.120
<v Speaker 4>Okay Vasu Jakau, Microsoft VP of Security.

0:33:22.160 --> 0:33:22.640
<v Speaker 3>It's so good.

0:33:22.680 --> 0:33:26.080
<v Speaker 4>Catch up here on the ground at RSA in San Francisco.

0:33:33.120 --> 0:33:36.080
<v Speaker 4>Bloomberg Technology Live at the RSA conference here in San

0:33:36.120 --> 0:33:40.720
<v Speaker 4>Francisco cybersecurity. The broader theme, generative AI the focus, let's

0:33:40.720 --> 0:33:43.720
<v Speaker 4>bring it in rapid seven, Chief Security Officer ja blue

0:33:44.440 --> 0:33:45.040
<v Speaker 4>Jen AI.

0:33:46.000 --> 0:33:46.520
<v Speaker 3>The topic.

0:33:46.600 --> 0:33:48.520
<v Speaker 4>You're looking at it from the other side of the table,

0:33:48.560 --> 0:33:52.160
<v Speaker 4>which is advances in quantum computing. How do the threat

0:33:52.200 --> 0:33:55.280
<v Speaker 4>actors harness that? Why is that a concern for you?

0:33:55.720 --> 0:33:57.920
<v Speaker 14>Well, I think it's a concern because we don't tend

0:33:58.000 --> 0:34:01.680
<v Speaker 14>to prioritize those things that are import until they become urgent.

0:34:02.000 --> 0:34:04.680
<v Speaker 14>AI is a perfect example of that. Actually, frankly, we've

0:34:04.680 --> 0:34:08.640
<v Speaker 14>been looking at AI from a very long time lens.

0:34:08.920 --> 0:34:10.960
<v Speaker 14>You know, we saw the AI winter and then all

0:34:10.960 --> 0:34:12.840
<v Speaker 14>of a sudden chat GPT and we've got all this

0:34:13.000 --> 0:34:16.040
<v Speaker 14>new renewed interest and I feel like it's similar to

0:34:16.080 --> 0:34:19.239
<v Speaker 14>what we're experiencing with quantum. So we had the beginning of.

0:34:19.239 --> 0:34:20.560
<v Speaker 5>The hype cycle.

0:34:20.880 --> 0:34:23.400
<v Speaker 14>You know, we're worried about a quantum winter, but I

0:34:23.520 --> 0:34:26.040
<v Speaker 14>feel like we should be prepared for that, you know,

0:34:26.200 --> 0:34:29.759
<v Speaker 14>quick accelerated speed up, so that we do have our

0:34:29.800 --> 0:34:32.880
<v Speaker 14>house in order when there is a quantum computer capable

0:34:33.280 --> 0:34:37.000
<v Speaker 14>of decrypting ursay and making available our secret.

0:34:37.040 --> 0:34:38.960
<v Speaker 5>So we need to prepare. And this is why I'm concerting.

0:34:39.200 --> 0:34:42.240
<v Speaker 4>Your industry colleagues are sort of pretty upbeat, right they

0:34:42.360 --> 0:34:46.719
<v Speaker 4>see AI as being value additive for their businesses, or

0:34:46.800 --> 0:34:49.400
<v Speaker 4>they're talking about how they've always been combatant in AI.

0:34:50.040 --> 0:34:52.000
<v Speaker 3>Very few of them are saying the.

0:34:51.960 --> 0:34:54.720
<v Speaker 4>Problems we're dealing with could be made worse by AI.

0:34:54.840 --> 0:34:56.720
<v Speaker 4>That's essentially your concern.

0:34:56.880 --> 0:34:58.040
<v Speaker 14>Well, I think there are a lot of people that

0:34:58.040 --> 0:35:00.480
<v Speaker 14>are actually concerned about the growth of AI and what

0:35:00.520 --> 0:35:03.320
<v Speaker 14>the downsides could be from all different standpoints, from ethical

0:35:03.360 --> 0:35:06.640
<v Speaker 14>to also you know, the potential for what does AI.

0:35:06.440 --> 0:35:07.520
<v Speaker 5>Mean for cybersecurity?

0:35:07.600 --> 0:35:10.520
<v Speaker 14>Also from the flip side, like every technology can be

0:35:10.560 --> 0:35:14.279
<v Speaker 14>good or bad, use fair enough, but I would like

0:35:14.400 --> 0:35:16.920
<v Speaker 14>us to have a sort of roadmap for quantum readiness

0:35:17.160 --> 0:35:19.840
<v Speaker 14>so that when there's a quantum computer capable of breaking

0:35:19.840 --> 0:35:23.000
<v Speaker 14>our current cryptography, that we actually have a plan and

0:35:23.000 --> 0:35:25.319
<v Speaker 14>that we actually know where our crown jewels are and

0:35:25.360 --> 0:35:26.480
<v Speaker 14>we're able to protect them.

0:35:26.640 --> 0:35:29.040
<v Speaker 4>We're here in San Francisco earlier we were talking with

0:35:29.160 --> 0:35:31.880
<v Speaker 4>the NSA. There's a lot of emphasis on what the

0:35:31.920 --> 0:35:35.120
<v Speaker 4>Biden administration's doing. Absolutely, but you're actually the vice chair

0:35:35.160 --> 0:35:37.760
<v Speaker 4>of the European Technical Standards Institute, and I just wondered

0:35:38.400 --> 0:35:41.120
<v Speaker 4>which jurisdiction you think is actually leading the way and

0:35:41.160 --> 0:35:42.400
<v Speaker 4>combating cyber threats.

0:35:43.000 --> 0:35:46.920
<v Speaker 14>That's a brilliant question, and I think, frankly, I think, frankly,

0:35:47.040 --> 0:35:49.200
<v Speaker 14>the thing that's needed is that we work closer together,

0:35:49.480 --> 0:35:52.799
<v Speaker 14>that we find our friends in this area, and you know, the.

0:35:52.760 --> 0:35:55.400
<v Speaker 4>Macignized cooperation between the United States.

0:35:55.160 --> 0:35:57.239
<v Speaker 14>And Europe, I think it could be better, to be

0:35:57.360 --> 0:35:59.720
<v Speaker 14>very frankly, you, I think it actually needs to improve

0:35:59.800 --> 0:36:01.960
<v Speaker 14>if we actually want to have any chance of doing well.

0:36:01.960 --> 0:36:05.560
<v Speaker 14>The Biden administration with the Quantum Preparedness Act, you know,

0:36:05.680 --> 0:36:08.640
<v Speaker 14>basically telling federal government that they need to have an

0:36:08.640 --> 0:36:12.560
<v Speaker 14>inventorization of their cryptographic resources in order to make that transition.

0:36:12.640 --> 0:36:14.960
<v Speaker 14>That was a great move, but now we need to

0:36:15.000 --> 0:36:17.040
<v Speaker 14>kind of see it through and you know, it will

0:36:17.120 --> 0:36:20.640
<v Speaker 14>hit the vendor landscape for everyone who serves the federal government,

0:36:20.719 --> 0:36:22.800
<v Speaker 14>and I'm hoping that that trickle down effect will actually

0:36:22.800 --> 0:36:25.680
<v Speaker 14>be meaningful across the cybersecurity industry.

0:36:26.320 --> 0:36:29.320
<v Speaker 4>The other topic of conversation is talent. You know, this

0:36:29.440 --> 0:36:32.239
<v Speaker 4>seems to be an industry where everyone is saying, we

0:36:32.320 --> 0:36:35.120
<v Speaker 4>need more people. We're hiding in the thousands. I know

0:36:35.200 --> 0:36:37.239
<v Speaker 4>that actually, for you, education is a big part of

0:36:37.280 --> 0:36:40.040
<v Speaker 4>that is there a skills gap in this country or

0:36:40.040 --> 0:36:42.080
<v Speaker 4>a talent gap in the United States.

0:36:42.160 --> 0:36:44.080
<v Speaker 14>I wish there weren't, but there absolutely is.

0:36:44.320 --> 0:36:45.359
<v Speaker 3>And why why is that?

0:36:45.480 --> 0:36:47.520
<v Speaker 14>And I think there's two things. First of all, even

0:36:47.560 --> 0:36:50.960
<v Speaker 14>though there is an availability of certain types of cybersecurity education,

0:36:51.320 --> 0:36:53.440
<v Speaker 14>we don't see the uptake that we'd like to see.

0:36:53.520 --> 0:36:56.279
<v Speaker 14>We don't see the demographic diversity that we want to

0:36:56.320 --> 0:36:59.520
<v Speaker 14>see when we actually have applicants for different positions. And

0:36:59.560 --> 0:37:03.080
<v Speaker 14>I and I feel like the depth of technical skills

0:37:03.440 --> 0:37:04.960
<v Speaker 14>is still where we fall.

0:37:04.840 --> 0:37:05.680
<v Speaker 5>The most short.

0:37:05.840 --> 0:37:07.919
<v Speaker 14>So I think making it more accessible, you know, having

0:37:07.960 --> 0:37:11.880
<v Speaker 14>coding practices in high schools, really starting very early with

0:37:12.120 --> 0:37:14.879
<v Speaker 14>a kind of digital form of education, that's what we need.

0:37:15.160 --> 0:37:19.000
<v Speaker 4>When you say things like security, network architecture or end

0:37:19.040 --> 0:37:22.120
<v Speaker 4>to end encryption in the context of a corporate entity,

0:37:22.560 --> 0:37:24.040
<v Speaker 4>sometimes people's eyes glaze over.

0:37:24.280 --> 0:37:26.640
<v Speaker 5>I truly, yeah, yeah.

0:37:25.600 --> 0:37:28.320
<v Speaker 4>But you know, the threats seem to be very serious.

0:37:28.680 --> 0:37:32.719
<v Speaker 4>Do you recognize corporate America taking that threat seriously? Is

0:37:32.760 --> 0:37:35.760
<v Speaker 4>their interest and willingness to invest to protect themselves?

0:37:35.960 --> 0:37:38.399
<v Speaker 14>So it goes back to your previous question as well

0:37:38.440 --> 0:37:42.040
<v Speaker 14>about literacy in terms of cybersecurity. Do we have enough

0:37:42.280 --> 0:37:44.839
<v Speaker 14>cybersecurity knowledge and skill set to be able to do

0:37:44.880 --> 0:37:47.560
<v Speaker 14>this well. And I think Corporate America is a perfect example,

0:37:47.719 --> 0:37:50.920
<v Speaker 14>especially at the board level, where that also needs to improve.

0:37:50.960 --> 0:37:53.279
<v Speaker 14>We need to actually improve because there is a fiduciary

0:37:53.760 --> 0:37:56.480
<v Speaker 14>duty to make sure that we know enough about cybersecurity

0:37:56.480 --> 0:37:58.840
<v Speaker 14>that we ask the right questions of enterprises, and I

0:37:58.840 --> 0:38:01.080
<v Speaker 14>think here as well to be doing a better job.

0:38:01.360 --> 0:38:03.080
<v Speaker 14>A great example that I always like to point to

0:38:03.400 --> 0:38:07.480
<v Speaker 14>is the UK National Cybersecurity Center created a lot of

0:38:07.560 --> 0:38:10.920
<v Speaker 14>advice for boards on specifically which questions do you need

0:38:10.960 --> 0:38:13.480
<v Speaker 14>to ask in order to know that you're capable of

0:38:13.520 --> 0:38:16.480
<v Speaker 14>performing that fiduciary duty for cybersecurity skills.

0:38:17.040 --> 0:38:20.279
<v Speaker 4>Going back to generative AI very quickly, what's your data

0:38:20.320 --> 0:38:23.520
<v Speaker 4>day engagement like with generative AI tools, are you using

0:38:23.560 --> 0:38:24.720
<v Speaker 4>them in your line of business?

0:38:25.600 --> 0:38:29.280
<v Speaker 14>Actually, right now, within the company, we are asking people

0:38:29.360 --> 0:38:32.960
<v Speaker 14>not to use chatchupute for any other corporate resources unless

0:38:32.960 --> 0:38:35.640
<v Speaker 14>it's been perfectly vetted by us. And that's a very

0:38:35.640 --> 0:38:38.120
<v Speaker 14>simple reason because I don't think that we're at a

0:38:38.160 --> 0:38:42.120
<v Speaker 14>place we're using it internally for our own products, but

0:38:42.440 --> 0:38:45.840
<v Speaker 14>using a large language model that's external to our company

0:38:45.880 --> 0:38:47.480
<v Speaker 14>is not something that we're going to do right now

0:38:47.840 --> 0:38:49.800
<v Speaker 14>unless it's for you know, people who are using it

0:38:49.880 --> 0:38:51.880
<v Speaker 14>in their free time. So I think that there's definitely

0:38:52.360 --> 0:38:55.080
<v Speaker 14>a market for it to improve product, but I'm not

0:38:55.120 --> 0:38:57.439
<v Speaker 14>sure that it's actually at the right place that needs

0:38:57.440 --> 0:38:59.960
<v Speaker 14>to be from a security perspective in order to try

0:39:00.080 --> 0:39:01.800
<v Speaker 14>in the data set with our data.

0:39:02.120 --> 0:39:05.000
<v Speaker 4>Jablue, Rapid seven, Chief Security Officer, So good to catch

0:39:05.080 --> 0:39:08.759
<v Speaker 4>up here at the RSA conference in San Francisco, Caroline.

0:39:08.840 --> 0:39:11.839
<v Speaker 4>It's a day where the subject matter is clear. It's

0:39:11.880 --> 0:39:14.440
<v Speaker 4>generative AI, and everyone is talking about that.

0:39:14.640 --> 0:39:16.440
<v Speaker 2>Yeah, whether or not it's in the world of cyber

0:39:16.480 --> 0:39:18.520
<v Speaker 2>whether it's in the earnings that we start to see

0:39:18.680 --> 0:39:21.800
<v Speaker 2>the hype become reality. The talk of the net editions

0:39:21.840 --> 0:39:24.600
<v Speaker 2>Microsoft is making in terms of new customers interested in

0:39:24.640 --> 0:39:27.640
<v Speaker 2>how it's evolving AI within its business model. But also

0:39:27.640 --> 0:39:29.600
<v Speaker 2>we've got to talk deals. Ed you're a gamer, what

0:39:29.600 --> 0:39:31.439
<v Speaker 2>did you make in the Microsoft Activision news.

0:39:32.960 --> 0:39:34.840
<v Speaker 4>Yeah, Look, I think a lot of the merger arbitrary

0:39:34.920 --> 0:39:38.120
<v Speaker 4>specialists and a lot of though like generally this is

0:39:38.160 --> 0:39:41.760
<v Speaker 4>a serious blow. There's a July deadline, but the questions

0:39:41.800 --> 0:39:45.560
<v Speaker 4>around innovation and consumer pricing, Microsoft and Activision pushing back

0:39:45.600 --> 0:39:48.040
<v Speaker 4>heavily against that that's the bit that.

0:39:47.960 --> 0:39:49.400
<v Speaker 3>You have to track. Well, what else can they do

0:39:49.600 --> 0:39:50.759
<v Speaker 3>to convince regulators?

0:39:51.160 --> 0:39:53.680
<v Speaker 2>And it all comes round back to well cloud gaming.

0:39:53.920 --> 0:39:56.200
<v Speaker 2>And we were talking so much today around the earnings

0:39:56.239 --> 0:39:59.000
<v Speaker 2>of how much cloud is a driver and asu're for Microsoft,

0:39:59.040 --> 0:40:02.000
<v Speaker 2>whether actually it's finally breaking even over at Alphabet and Google.

0:40:02.239 --> 0:40:04.239
<v Speaker 2>What more are you looking forward to in terms of

0:40:04.280 --> 0:40:06.799
<v Speaker 2>the cyber net conversations you're going to be having over

0:40:06.800 --> 0:40:07.440
<v Speaker 2>their RSA.

0:40:09.440 --> 0:40:11.439
<v Speaker 4>Yeah, I think it's where's the value adding? We heard

0:40:11.440 --> 0:40:13.600
<v Speaker 4>Microsoft saying, look, this is a driver for a lot

0:40:13.600 --> 0:40:16.080
<v Speaker 4>of our businesses right now. We're demonstrating how the AI

0:40:16.239 --> 0:40:19.800
<v Speaker 4>works but also how it improves our existing businesses Cloud

0:40:20.000 --> 0:40:21.320
<v Speaker 4>that I think we've got to do more there.

0:40:21.200 --> 0:40:23.160
<v Speaker 5>Character we do always more to do.

0:40:23.360 --> 0:40:24.839
<v Speaker 2>We thank you so much for being out there.

0:40:24.960 --> 0:40:25.000
<v Speaker 6>Ed.

0:40:25.040 --> 0:40:26.920
<v Speaker 2>That does it for this edition of Bloomberg Technology. You

0:40:26.960 --> 0:40:29.000
<v Speaker 2>do not want to forget to check out our podcast.

0:40:29.239 --> 0:40:31.120
<v Speaker 2>Can find it on the terminal, Go listen back to

0:40:31.160 --> 0:40:34.000
<v Speaker 2>some amazing interviews that you've had today, as well as

0:40:34.000 --> 0:40:37.319
<v Speaker 2>our conversation around that news from Microsoft, and indeed it's

0:40:37.360 --> 0:40:40.240
<v Speaker 2>deal of activision Blizzon go to Apple Spotify, Our iHeart

0:40:40.480 --> 0:40:42.640
<v Speaker 2>from New York from San Francisco, This is Bloomberg,