WEBVTT - Smart Talks with IBM: How AI Can Accelerate Cybersecurity

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. This season

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<v Speaker 1>on smart Talks with IBM, Malcolm Gladwell and team are

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<v Speaker 1>diving into the transformative world of artificial intelligence with a

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<v Speaker 1>fresh perspective on the concept of open What does open

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<v Speaker 1>really mean in the context of AI. It can mean

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<v Speaker 1>open source code or open data, but it also encompasses

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<v Speaker 1>fostering an ecosystem of ideas, ensuring diverse perspectives are heard,

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<v Speaker 1>and enabling new levels of transparency. Join hosts from your

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<v Speaker 1>favorite Pushkin podcasts as they explore how openness and AI

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<v Speaker 1>is reshaping industries, driving innovation, and redefining what's possible. You'll

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<v Speaker 1>hear from industry experts and leaders about the implications and

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<v Speaker 1>possibilities of open AI, and of course, Malcolm Gladwell will

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<v Speaker 1>be there to guide you through the season with his

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<v Speaker 1>unique insights. Look out for new episodes of Smart Talks

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<v Speaker 1>every other week on the iHeartRadio app, Apple Podcasts, or

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<v Speaker 1>wherever you get your podcasts, and learn more at IBM

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<v Speaker 1>dot com slash smart Talks.

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<v Speaker 2>Hello, Hello, Welcome to Smart Talks with IBM, a podcast

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<v Speaker 2>from Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glappwell. This season,

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<v Speaker 2>we're diving back into the world of artificial intelligence, but

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<v Speaker 2>with a focus on the powerful concept of open its possibilities, implications,

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<v Speaker 2>and misconceptions. We'll look at openness from a variety of

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<v Speaker 2>angles and explore how the concept is already reshaping industries,

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<v Speaker 2>ways of doing business and our very notion of what's possible.

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<v Speaker 2>On today's episode, I'm joined by Jason Kelly, the global

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<v Speaker 2>Managing Partner for IBM Strategic Partners and Ecosystems, and by

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<v Speaker 2>Christy Fredericks, the Senior Vice president and Chief Partnership Officer

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<v Speaker 2>at Polowa Networks. We discussed how their partnership in the

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<v Speaker 2>cybersecurity space helps strengthen enterprises by focusing on seamless cybersecurity

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<v Speaker 2>solutions tailored to meet the evolving threat landscape. By leveraging

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<v Speaker 2>AI and automation, this collaboration aims to modernize security programs,

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<v Speaker 2>improve response times, and produce risks. Jason and Christy both

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<v Speaker 2>bring a tremendous amount of experience and expertise to the subject.

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<v Speaker 2>I think you're really going to enjoy this one, Jason, Christy,

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<v Speaker 2>Welcome to Smart Talks with IBM. Thank you for joining me.

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<v Speaker 3>Thank you.

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<v Speaker 4>It's great to be here.

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<v Speaker 2>We are here to discuss cybersecurity and the partnership between

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<v Speaker 2>IBM and Palo Alto Networks. But before we get there,

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<v Speaker 2>I wanted you guys to tell me a little bit

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<v Speaker 2>out yourself. Jason, let's start with you. I see on

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<v Speaker 2>your resume west Point, which makes we think there's some

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<v Speaker 2>interesting things going on there. How did you get to

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<v Speaker 2>west Point?

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<v Speaker 3>West Point? West Point was the decision. First, it was

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<v Speaker 3>it was affordable back in the day. But I had

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<v Speaker 3>a sense of service. My father was a World War

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<v Speaker 3>Two vet, so I grew up on the weekends watching

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<v Speaker 3>World War two video. You know, he's army as well. Yeah,

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<v Speaker 3>and so I thought, oh, that'd be exciting, and I

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<v Speaker 3>thought I do some type of service. Went there and

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<v Speaker 3>now I have the biggest family, extended family I could

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<v Speaker 3>ever have. So it was very exciting. Played football lucked out,

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<v Speaker 3>meaning I wasn't recruited. I walked on and that kept

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<v Speaker 3>me there because it gave me something and outlet with

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<v Speaker 3>all the other pressures. Defensive back I was. I was

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<v Speaker 3>great at knocking the ball down, not the best at

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<v Speaker 3>catching it.

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<v Speaker 2>Yeah, and then you were a ranger I was.

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<v Speaker 3>I was privileged to be a US Army airborne ranger station,

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<v Speaker 3>but did most of my time in northern Italy. We're

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<v Speaker 3>part of the eighty second Airbarnship Post. Oh yeah, that's

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<v Speaker 3>what people say, seriously, like, you know, you were you

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<v Speaker 3>were northern, you were drinking wine and having bred, you know.

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<v Speaker 3>But it was a part of a NATO force there

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<v Speaker 3>at the time. Yeah, so exciting.

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<v Speaker 2>How did you get from there to IBM?

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<v Speaker 3>A long path. As I came out of the military,

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<v Speaker 3>I started manufacturing retail housing and did a quick stint,

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<v Speaker 3>took a leave of absence from industry, and did a

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<v Speaker 3>stint of yet again public service in the state of

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<v Speaker 3>Tennessee with economic development and got a whiff of how

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<v Speaker 3>fun it could be to do things around data and media.

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<v Speaker 3>Started a small media firm what we would now call

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<v Speaker 3>a digital firm, sold it and said I wanted to

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<v Speaker 3>go do it again somewhere, but I want to go

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<v Speaker 3>to a big company. And the family at IBM brought

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<v Speaker 3>me in and yet to let me go.

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<v Speaker 2>That was how many years ago?

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<v Speaker 3>Two decades? Oh wow, So I know I look amazingly young, but.

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<v Speaker 2>Yes, because you must have.

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<v Speaker 3>And IBM was my fifth career and and and I've

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<v Speaker 3>I've enjoyed it since and that's what I what I

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<v Speaker 3>do there, build teams, grow new parts of the company,

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<v Speaker 3>and get to work with some of the most brilliant

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<v Speaker 3>people on the face of the planet, as well as

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<v Speaker 3>partners like like Christy that just keep it exciting.

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<v Speaker 2>Christy, you're I was delighted to learn that you are Canadian?

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<v Speaker 2>Yes here, yeah? But you so you were a consultant

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<v Speaker 2>for a long time a Bane Yes.

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<v Speaker 4>Yeah. I joined Baine Consulting intending to spend a couple

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<v Speaker 4>of years there learn the ropes and then go get

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<v Speaker 4>my first real job. But the value personally to my

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<v Speaker 4>growth and development, and then that we were able to

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<v Speaker 4>bring our clients. I ended up there for sixteen years

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<v Speaker 4>and then post Bane went onto another my first product company,

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<v Speaker 4>a new relic, and then it's come full circle at

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<v Speaker 4>Polota Networks. But at Bain it was all about bringing

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<v Speaker 4>expertise across different industries to help our clients improve whatever

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<v Speaker 4>they needed to improve and bringing that expertise to bear.

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<v Speaker 4>And then you have the product lens and you think, Okay,

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<v Speaker 4>we're going to build the absolute best product to help

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<v Speaker 4>our customers do what they need to get done, and

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<v Speaker 4>then I joined pal Alto about six seven months ago

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<v Speaker 4>in a partnerships role and I'm delighted to be able

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<v Speaker 4>to work with amazing consulting companies like IBM where we

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<v Speaker 4>bring both to bear.

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<v Speaker 2>How long have IBM and Palo Alto Network's been partners?

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<v Speaker 3>So we've been We've been working together for quite quite

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<v Speaker 3>a long time, but we made it official, meaning we

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<v Speaker 3>got married as strategic partners last year.

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<v Speaker 2>Oh I see. So what is it that each of

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<v Speaker 2>you bring to the table? What's each side special?

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<v Speaker 3>So it's great that you asked that because about a

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<v Speaker 3>decade ago, are now CEO Arvin Christ says, you know,

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<v Speaker 3>it wouldn't be great if we has had this one

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<v Speaker 3>focus with what does IBM do and you have this

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<v Speaker 3>whole list, and he says, let's make it simple. We

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<v Speaker 3>are a multi cloud, hybrid cloud AI company. And so

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<v Speaker 3>when you say that, it sounds very simple. But then people,

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<v Speaker 3>what the hell is that? What your hybrid cloud? Well,

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<v Speaker 3>both of those two things have a lot of data involved,

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<v Speaker 3>and a lot of those mean that that data is

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<v Speaker 3>going to sit in multiple places and distributed environments. Well,

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<v Speaker 3>if you're able to tie those things together with multiple partners.

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<v Speaker 3>You also have to make sure that it's secure because

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<v Speaker 3>in the direction that we're going, where data is now

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<v Speaker 3>being consumed in many different places and it is the

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<v Speaker 3>fuel behind AI as we know. Then you say, ah, well,

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<v Speaker 3>who does that well and who does it in a

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<v Speaker 3>way that's getting rid of seams, the seams that could

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<v Speaker 3>be across multiple products, multiple product SATs even And that's

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<v Speaker 3>where Powell comes in.

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<v Speaker 4>I think the canal wisdom in cybersecurity was always you

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<v Speaker 4>need all the new tools, right, you need it every threat.

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<v Speaker 4>It's like, whack them all. Every threat that pops up,

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<v Speaker 4>you get the tool that's purpose built for that specific thing. Well,

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<v Speaker 4>fast forward to you know, the RSA conference this year.

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<v Speaker 4>There were four thousand vendors on the floor. You look

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<v Speaker 4>at an average company, there's hundreds of cybersecurity tools. It

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<v Speaker 4>introduces a level of complexity that is really hard to manage.

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<v Speaker 4>You as a user, query and application right, that query

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<v Speaker 4>can go through a bunch of different pings from one

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<v Speaker 4>cloud to the next. It goes into and out of

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<v Speaker 4>as SaaS application. It may be running along a network,

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<v Speaker 4>you may be accessing it from your phone, which is

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<v Speaker 4>an unmanaged device. It's got to go in and out.

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<v Speaker 4>And if you say, okay, I've got to secure that phone,

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<v Speaker 4>I've got to secure the network, I've got it. Then

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<v Speaker 4>all of a sudden you've got sort of firewalls, software

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<v Speaker 4>and hardwel flows popping up everywhere. You've got cloud security,

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<v Speaker 4>and it's you've probably heard of this concept of zero trust,

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<v Speaker 4>which is every time you have to check and say

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<v Speaker 4>are you allowed in here? Are you allowed in here?

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<v Speaker 4>The number of places that can fall down it just

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<v Speaker 4>becomes overwhelming. So you end up with either alerts firing,

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<v Speaker 4>you know, every two seconds that you have to then

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<v Speaker 4>go investigate in most of which are false positives or

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<v Speaker 4>you miss something right. And so that was the conventionalism

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<v Speaker 4>was we've got to buy all these tools, and now

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<v Speaker 4>you've got overwhelmed CIOs and CSOs with hundreds of tools,

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<v Speaker 4>and Palo Alto strategy has been, look, we're going to

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<v Speaker 4>create a platform where everything can be stitched together, everything

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<v Speaker 4>can speak the same language, and we can sort of

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<v Speaker 4>manage throughout the architecture and watch, you know, this call

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<v Speaker 4>as as it's passing through all these different checkpoints, and

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<v Speaker 4>we can do it in a way that you still

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<v Speaker 4>have the confidence that it's best to breed right, so

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<v Speaker 4>you're not making any trade offs. But it's not so

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<v Speaker 4>simple just to get from the spaghetti to the seamless architecture.

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<v Speaker 4>You need, oftentimes to re engineer your business processes. You

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<v Speaker 4>have to re architect your digital environment. And so that's

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<v Speaker 4>where we partner with a company like IBM to bring

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<v Speaker 4>that expertise and say, we're going to help you not

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<v Speaker 4>just deploy the best cybersecurity architecture, but really get your

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<v Speaker 4>environment ready to have this zero customers as well as.

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<v Speaker 3>All of those players that cross that spaghetti, because when

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<v Speaker 3>you start thinking about all the other partners that you

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<v Speaker 3>work with, if you're you think of an industry perspective,

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<v Speaker 3>you're going to have an ERP. It could be an Oracle,

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<v Speaker 3>it could be an SAP. You're not going to have

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<v Speaker 3>one cloud, as I mentioned, it's going to be possibly

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<v Speaker 3>multiple clouds. You'll have some AWS maybe Microsoft asure and

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<v Speaker 3>then even even some Google in there, and then your

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<v Speaker 3>own that you've built in your private over there, uh,

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<v Speaker 3>some an IBM cloud. You'll have those multiple clouds, and

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<v Speaker 3>then you also will have you know, fit for purpose, Oh,

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<v Speaker 3>I need a I need a salesforce in there for

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<v Speaker 3>my customer focusing I need. I'm doing some graphics, so

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<v Speaker 3>I have Adobe, so I just as I can name

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<v Speaker 3>name name, all of those then have to be re engineered. Seriously.

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<v Speaker 3>I mean, come on, Malcolm, you're gonna sit there you

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<v Speaker 3>think how long that would take. So if you haven't

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<v Speaker 3>done that before, you're going to have to go to

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<v Speaker 3>each one of those individually, or you can work with

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<v Speaker 3>a company that can tie those things together, because we

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<v Speaker 3>are also strategic partners with them. So that's where you

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<v Speaker 3>start to say, Okay, I see how this comes together.

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<v Speaker 3>You have to make sure that your ecosystem is going

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<v Speaker 3>to be stronger than your competitor's ecosystem, and you have

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<v Speaker 3>to be secure in what you're doing because as you

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<v Speaker 3>add more players or products, you create seams, and you

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<v Speaker 3>want to make sure there's fewer seams and that there's

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<v Speaker 3>zero trust across that capability you're building. And that's why

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<v Speaker 3>the compliment between the two companies.

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<v Speaker 2>Well, take a step back from a moment before we

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<v Speaker 2>sort of launch, once get into the specifics of what

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<v Speaker 2>you guys are doing. I'm curious at this moment in

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<v Speaker 2>twenty twenty four, how nervous should we be about cybersecurity?

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<v Speaker 2>So compared it to five years ago or ten years ago.

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<v Speaker 2>Are we are less nervous than you were five years ago?

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<v Speaker 2>Were more nervous? Or all of changes going on right

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<v Speaker 2>now increasing vulnerability or decreasing it?

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<v Speaker 3>I would say Christie, also, I think we share the

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<v Speaker 3>point of view is that it's not necessarily being more nervous.

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<v Speaker 3>I think you should be more prepared because the amounts

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<v Speaker 3>of threat is increasing based on our dependence upon data.

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<v Speaker 3>And that's that's where I think the attention should be placed.

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<v Speaker 3>Is that more and more, especially with the importance of AI,

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<v Speaker 3>that you say, okay, then what's under all that? And

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<v Speaker 3>it's the data, as I said, So knowing that you

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<v Speaker 3>should be more concerned.

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<v Speaker 2>Does the advent of AI and its rapid evolution help

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<v Speaker 2>defense more or offense more?

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<v Speaker 4>I think it's I think it's like any mega trend

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<v Speaker 4>that we've witnessed both. Right, So you think about AI.

0:12:59.320 --> 0:13:03.679
<v Speaker 4>It's great, right in terms of what it's going to

0:13:03.760 --> 0:13:07.080
<v Speaker 4>unlock for productivity, for humanity, but it also makes it

0:13:07.120 --> 0:13:09.720
<v Speaker 4>a whole lot easier to build ransomware. It's a whole

0:13:09.760 --> 0:13:13.120
<v Speaker 4>lot easier to test different ways into a system. Right.

0:13:13.520 --> 0:13:15.280
<v Speaker 4>But I think that's true if you think about like

0:13:15.360 --> 0:13:16.960
<v Speaker 4>the rise of the Internet, right, all of a sudden,

0:13:17.000 --> 0:13:20.720
<v Speaker 4>everyone was putting their data online and you had to

0:13:20.760 --> 0:13:23.240
<v Speaker 4>think of new ways to stay ahead and keep that secure.

0:13:23.280 --> 0:13:25.840
<v Speaker 4>And I don't think AI is any different. You've got

0:13:25.960 --> 0:13:29.400
<v Speaker 4>companies like Palta, partnerships like Powell and IBM that are

0:13:30.640 --> 0:13:34.080
<v Speaker 4>constantly scanning the landscape for not only the current threats,

0:13:34.120 --> 0:13:36.800
<v Speaker 4>but what's next, what's coming around the corner, what's after AI?

0:13:37.440 --> 0:13:39.760
<v Speaker 4>And so I think taking it seriously and being prepared

0:13:39.840 --> 0:13:41.920
<v Speaker 4>is probably the right way of looking at it, as

0:13:41.960 --> 0:13:44.120
<v Speaker 4>opposed to because if you think about it too hard,

0:13:44.160 --> 0:13:46.839
<v Speaker 4>you'll just want to crawl into a corner and stuff

0:13:46.840 --> 0:13:49.920
<v Speaker 4>everything under the mattress.

0:13:50.280 --> 0:13:57.480
<v Speaker 2>I am the CEO of a regional hospital chain, big

0:13:57.640 --> 0:14:02.679
<v Speaker 2>distribute healthcare system, so a ton of data. The consequences

0:14:02.720 --> 0:14:06.640
<v Speaker 2>of being hacked and help for ransom are life and death.

0:14:06.800 --> 0:14:10.400
<v Speaker 2>Life and death. Right littally, when you come so, you

0:14:10.840 --> 0:14:12.720
<v Speaker 2>come down, you sit down with me, and you chat

0:14:12.760 --> 0:14:16.240
<v Speaker 2>with me. Walk me through the kinds of things you

0:14:16.280 --> 0:14:18.840
<v Speaker 2>would tell me about what I need to get safer.

0:14:19.160 --> 0:14:22.360
<v Speaker 2>For example, let's start with one. Is it likely that

0:14:22.400 --> 0:14:24.320
<v Speaker 2>I'm spending too little? Or am I spending money in

0:14:24.360 --> 0:14:25.040
<v Speaker 2>the wrong place.

0:14:25.920 --> 0:14:29.960
<v Speaker 4>Great question. It depends how you've broken it out. If

0:14:30.000 --> 0:14:33.120
<v Speaker 4>you are distributing all of your dollars across a whole

0:14:33.160 --> 0:14:35.720
<v Speaker 4>bunch of different tools, it's likely you're just spending the

0:14:35.760 --> 0:14:38.040
<v Speaker 4>wrong money. And in fact, you know, putting it all

0:14:38.040 --> 0:14:40.800
<v Speaker 4>in one place is a way of potentially saving money

0:14:41.160 --> 0:14:45.000
<v Speaker 4>but keeping your security actually higher. And I'd love to

0:14:45.040 --> 0:14:46.880
<v Speaker 4>hear Jason, how you would approach it. How we would

0:14:46.880 --> 0:14:49.080
<v Speaker 4>approach it, of course, is by saying, you know, what,

0:14:49.080 --> 0:14:52.200
<v Speaker 4>what does your environment look like? You know, do you

0:14:52.240 --> 0:14:56.720
<v Speaker 4>have the connected medical devices into your EMR? Are your

0:14:56.840 --> 0:15:00.360
<v Speaker 4>respirators and ventilators all online? Right? And so we would

0:15:00.360 --> 0:15:03.200
<v Speaker 4>talk about, okay, here's how you get coverage and how

0:15:03.240 --> 0:15:05.720
<v Speaker 4>the coverage of both the firewalls as well as the

0:15:05.800 --> 0:15:09.240
<v Speaker 4>detectors all feedback into your security operation center and you

0:15:09.240 --> 0:15:13.000
<v Speaker 4>can manage it and do your learning with AI and

0:15:13.080 --> 0:15:14.000
<v Speaker 4>keep yourself securing.

0:15:14.040 --> 0:15:16.360
<v Speaker 3>So yeah, and I would say Christy and I would

0:15:16.360 --> 0:15:18.840
<v Speaker 3>go to the same point because if you get under

0:15:19.120 --> 0:15:22.600
<v Speaker 3>what she was just asking, it is your data on

0:15:22.720 --> 0:15:26.840
<v Speaker 3>prem and when it's on prem, how active is it

0:15:26.880 --> 0:15:31.040
<v Speaker 3>across the enterprise? And so that begins the basis for

0:15:31.120 --> 0:15:33.040
<v Speaker 3>the start and then often you're going to say, well,

0:15:33.080 --> 0:15:36.240
<v Speaker 3>we actually take in data from outside, and then we

0:15:36.280 --> 0:15:39.800
<v Speaker 3>also have the circumstances. There's a lot of PII and

0:15:39.840 --> 0:15:45.280
<v Speaker 3>so that personal is the personal information, right, And so

0:15:45.320 --> 0:15:48.640
<v Speaker 3>now you're saying, okay, now, how are we securing that

0:15:48.960 --> 0:15:51.440
<v Speaker 3>and where are we securing it? And so you have

0:15:51.520 --> 0:15:55.680
<v Speaker 3>to start really thinking about the different areas within that

0:15:55.920 --> 0:16:00.240
<v Speaker 3>hospital chain. Are you sharing that amongst your hospitals? And

0:16:00.280 --> 0:16:03.480
<v Speaker 3>now you start to think of if I'm saying no

0:16:03.560 --> 0:16:04.960
<v Speaker 3>to a lot of that, it's like, well, then are

0:16:05.000 --> 0:16:07.680
<v Speaker 3>you as efficient as you want to be? So there

0:16:07.760 --> 0:16:11.160
<v Speaker 3>is that trade off of you know, am I so

0:16:11.320 --> 0:16:14.920
<v Speaker 3>tightly walled that I'm not productive? And so that's where

0:16:14.960 --> 0:16:17.960
<v Speaker 3>we would start to say, what's the outcome that you're

0:16:17.960 --> 0:16:20.160
<v Speaker 3>trying to get to? All Right, maybe you're good, Maybe

0:16:20.200 --> 0:16:22.560
<v Speaker 3>you're you're good with your five locations and you don't

0:16:22.800 --> 0:16:24.960
<v Speaker 3>need to go any further, but maybe you want to

0:16:25.000 --> 0:16:27.000
<v Speaker 3>expand to fifty and by the way, you're going to

0:16:27.080 --> 0:16:29.080
<v Speaker 3>go crossport or you're going to be in Toronto and

0:16:29.200 --> 0:16:32.480
<v Speaker 3>in New York. Okay, well then how do you do that?

0:16:33.360 --> 0:16:36.040
<v Speaker 3>And so I think that it's very easy to start

0:16:36.120 --> 0:16:41.600
<v Speaker 3>jumping into any of the typical situations. But the first

0:16:41.640 --> 0:16:45.960
<v Speaker 3>question that you have to ask you as the hospital CEOs,

0:16:46.400 --> 0:16:49.360
<v Speaker 3>what's your objective? What are you what are you trying

0:16:49.480 --> 0:16:52.040
<v Speaker 3>to do? Because too often what we see is that

0:16:52.400 --> 0:16:55.720
<v Speaker 3>there's some bright, new, shiny thing that everybody wants to

0:16:56.040 --> 0:16:58.440
<v Speaker 3>put in play. You know, it's a sandwich looking for

0:16:58.560 --> 0:17:01.440
<v Speaker 3>lunch and you go, but what is it that you

0:17:01.520 --> 0:17:04.000
<v Speaker 3>want to do as this? Are you doing research? Are

0:17:04.000 --> 0:17:07.680
<v Speaker 3>your research hospital? Are you more consumer oriented? So those

0:17:07.720 --> 0:17:10.119
<v Speaker 3>are the questions you start to ask because they start

0:17:10.160 --> 0:17:13.880
<v Speaker 3>to then tell a story in line with what Christy questions.

0:17:13.920 --> 0:17:16.720
<v Speaker 3>And I think that that's where the again, the complement

0:17:17.240 --> 0:17:19.960
<v Speaker 3>is that instead of just saying, oh, well, that's thanks

0:17:20.040 --> 0:17:23.199
<v Speaker 3>for telling me all this, Malcolm, here's your ten page strategy,

0:17:23.880 --> 0:17:28.399
<v Speaker 3>go find somebody. We have the benefit in IBM. And

0:17:28.440 --> 0:17:30.520
<v Speaker 3>it's probably why I'm still there is you know, we're

0:17:30.640 --> 0:17:33.399
<v Speaker 3>very unique. We're the only company on the planet that

0:17:33.560 --> 0:17:38.679
<v Speaker 3>has a consulting business at scale inside of a technology company,

0:17:39.560 --> 0:17:42.840
<v Speaker 3>and so we have, you know, the left brain, right brain.

0:17:42.920 --> 0:17:45.480
<v Speaker 3>We're able to do that and then we're able to say, okay,

0:17:45.480 --> 0:17:49.280
<v Speaker 3>now which partners are going to be most valuable for

0:17:49.359 --> 0:17:51.719
<v Speaker 3>our clients? What's going to work for you, isn't going

0:17:51.760 --> 0:17:54.119
<v Speaker 3>to work for the manufacturer down the road, isn't going

0:17:54.160 --> 0:17:57.880
<v Speaker 3>to work for the consumer or CpG company across the river.

0:17:59.000 --> 0:18:02.600
<v Speaker 3>Those things are bare very specific. The threats and the

0:18:02.640 --> 0:18:05.800
<v Speaker 3>scenes that I was talking about are very specific. So

0:18:05.920 --> 0:18:08.439
<v Speaker 3>that's where it becomes very valuable to make sure that

0:18:09.400 --> 0:18:12.400
<v Speaker 3>I'm not just giving you some strategy that's generic.

0:18:12.920 --> 0:18:17.720
<v Speaker 2>But everything as a healthcare CEO, everything I have done,

0:18:18.160 --> 0:18:21.520
<v Speaker 2>almost everything I've done over the last ten years, has

0:18:21.600 --> 0:18:24.200
<v Speaker 2>it had the effect of increasing my vulnerability. I want

0:18:24.200 --> 0:18:26.960
<v Speaker 2>to digitize data within the hospital used to be on

0:18:27.000 --> 0:18:30.560
<v Speaker 2>pieces of paper. I want doctors to go home and

0:18:30.680 --> 0:18:32.680
<v Speaker 2>to be able to seamlessly hook into stuff at work

0:18:32.720 --> 0:18:35.199
<v Speaker 2>because they got to do all their paperwork. I want

0:18:35.240 --> 0:18:37.919
<v Speaker 2>to make sure the diabetes people are speaking to the

0:18:38.040 --> 0:18:41.720
<v Speaker 2>organ transplant people. And so isn't that everything I have

0:18:41.840 --> 0:18:45.080
<v Speaker 2>done to kind of keep up with the revolution in healthcare?

0:18:45.480 --> 0:18:47.840
<v Speaker 2>Isn't that also making me more and more vulnerable to

0:18:48.359 --> 0:18:49.000
<v Speaker 2>a bad actor.

0:18:49.160 --> 0:18:51.520
<v Speaker 4>It's such a great question because think about the quality

0:18:51.520 --> 0:18:54.919
<v Speaker 4>of healthcare delivery. Right, So now doctors aren't filling out forms,

0:18:54.960 --> 0:18:57.679
<v Speaker 4>They're spending time with patients, and so the quality of

0:18:57.720 --> 0:19:00.439
<v Speaker 4>care is improving and the vulnerability is improving, and so

0:19:00.480 --> 0:19:05.159
<v Speaker 4>I think that's where having a strong cybersecurity strategy actually

0:19:05.320 --> 0:19:07.600
<v Speaker 4>enables all of that. One of our products is our

0:19:07.640 --> 0:19:10.600
<v Speaker 4>sas product, and we tested it with some business applications,

0:19:10.640 --> 0:19:13.200
<v Speaker 4>and oftentimes the wrap is, oh, security is going to

0:19:13.240 --> 0:19:15.280
<v Speaker 4>slow you down, right, like you have to add a firewall,

0:19:15.320 --> 0:19:19.159
<v Speaker 4>you have to checkpoints. Our product actually increases the velocity

0:19:19.560 --> 0:19:21.720
<v Speaker 4>of your ability to use that application because of the

0:19:21.760 --> 0:19:25.679
<v Speaker 4>way that it is queried through our system as opposed

0:19:25.720 --> 0:19:28.240
<v Speaker 4>to just through the regular network. So it doesn't slow

0:19:28.280 --> 0:19:30.480
<v Speaker 4>it down and in fact, it makes it run more efficiently.

0:19:31.240 --> 0:19:36.479
<v Speaker 4>That's just one minor example. But back to the healthcare question. I,

0:19:36.520 --> 0:19:38.879
<v Speaker 4>as a patient want my doctors accessing all the technology

0:19:38.880 --> 0:19:40.960
<v Speaker 4>and talking to each other and connecting the dots behind

0:19:40.960 --> 0:19:43.560
<v Speaker 4>the scenes. I also want my data to stay private,

0:19:44.119 --> 0:19:49.240
<v Speaker 4>and so having both a consulting partner who understands how

0:19:49.280 --> 0:19:51.720
<v Speaker 4>to ask questions of the environment and of the applications

0:19:51.720 --> 0:19:54.600
<v Speaker 4>you're using, and who understands the industry inside and out,

0:19:55.000 --> 0:19:57.800
<v Speaker 4>and a technology partner that builds and stays ahead of

0:19:57.840 --> 0:20:00.600
<v Speaker 4>all of the different threats come together advise you. I

0:20:00.600 --> 0:20:04.920
<v Speaker 4>think is super important. When you bring in a partner

0:20:04.920 --> 0:20:08.600
<v Speaker 4>like IBM, with a platform like pal Alta that covers

0:20:08.920 --> 0:20:12.720
<v Speaker 4>you know, all the different parts of your environment, you're

0:20:12.760 --> 0:20:16.280
<v Speaker 4>able to say, look, where where are the vulnerabilities in

0:20:16.320 --> 0:20:19.360
<v Speaker 4>the system, Where are the different endpoints that we need

0:20:19.400 --> 0:20:21.280
<v Speaker 4>to have covered, And then just make sure you get

0:20:21.320 --> 0:20:24.920
<v Speaker 4>that breadth of coverage and then you're better able to so, yes,

0:20:24.960 --> 0:20:27.040
<v Speaker 4>you've increased the risk, but then you've mitigated it.

0:20:27.760 --> 0:20:32.119
<v Speaker 2>So to give so before I retire my healthcare analogy,

0:20:32.480 --> 0:20:35.800
<v Speaker 2>because I was thinking about just trying to understand the

0:20:35.840 --> 0:20:40.600
<v Speaker 2>importance of this idea of having a single platform. So

0:20:40.960 --> 0:20:44.240
<v Speaker 2>if this mudtle healthcare network is typical, I've acquired a

0:20:44.240 --> 0:20:46.720
<v Speaker 2>whole series of over the last ten years. I bought

0:20:46.720 --> 0:20:49.560
<v Speaker 2>a hospital over here, some I got some physicians things

0:20:49.560 --> 0:20:52.720
<v Speaker 2>that I snapped up over here. I bought a diagnostics company,

0:20:53.160 --> 0:20:56.560
<v Speaker 2>and so I have all of these legacy systems and

0:20:56.600 --> 0:20:58.760
<v Speaker 2>I had, like you said, maybe I got some stuff

0:20:58.760 --> 0:21:00.920
<v Speaker 2>in the cloud with one company, some stuff with the cloud.

0:21:01.160 --> 0:21:03.840
<v Speaker 2>And what you're saying is the first step is to

0:21:03.920 --> 0:21:07.800
<v Speaker 2>kind of rationalize that put it on a single platform,

0:21:07.840 --> 0:21:11.040
<v Speaker 2>so you understand where your points of weakness are as

0:21:11.040 --> 0:21:13.040
<v Speaker 2>opposed to being blind to your points of weakness.

0:21:14.800 --> 0:21:19.760
<v Speaker 4>There's yes, although anyone who's done any kind of M

0:21:19.760 --> 0:21:22.359
<v Speaker 4>and A knows that that's a long journey, right. So

0:21:22.440 --> 0:21:26.080
<v Speaker 4>I think the first step is just understanding where everything is,

0:21:26.720 --> 0:21:27.960
<v Speaker 4>and then you get on a path and you say,

0:21:27.960 --> 0:21:31.080
<v Speaker 4>where's the biggest risk. Let's neutralize or mitigate that risk

0:21:31.119 --> 0:21:34.400
<v Speaker 4>one at a time. The thing about open end Secure,

0:21:35.160 --> 0:21:37.720
<v Speaker 4>you know, Palo Alto. We keep touting the benefits of

0:21:37.760 --> 0:21:40.439
<v Speaker 4>the platform. Everything on Palo Alto, your risk is going

0:21:40.440 --> 0:21:42.439
<v Speaker 4>to be mitigated and you're going to have the full visibility.

0:21:43.119 --> 0:21:46.480
<v Speaker 4>But you can't get there overnight. And so we've got

0:21:46.720 --> 0:21:50.000
<v Speaker 4>you know, thousands of integrations with other technology companies, including

0:21:50.040 --> 0:21:52.679
<v Speaker 4>our partners, to make sure that we can capture and

0:21:52.880 --> 0:21:57.040
<v Speaker 4>have visibility into those those endpoints in those systems as well.

0:21:57.280 --> 0:21:59.320
<v Speaker 4>And so I think step one is just figure out

0:21:59.320 --> 0:22:01.840
<v Speaker 4>where everything is, get the scan, so politize a couple

0:22:01.880 --> 0:22:03.880
<v Speaker 4>of products where you can kind of deploy and get

0:22:03.920 --> 0:22:06.760
<v Speaker 4>a view of your attack surface. I love the analogy.

0:22:06.920 --> 0:22:09.560
<v Speaker 4>Just like a digital environment is a house, right, and

0:22:09.600 --> 0:22:11.520
<v Speaker 4>so like you have your front door log of course,

0:22:11.760 --> 0:22:13.679
<v Speaker 4>because probably they're going to try the front door first,

0:22:14.440 --> 0:22:15.920
<v Speaker 4>but that's not all you're going to do, right, you're

0:22:15.920 --> 0:22:17.560
<v Speaker 4>going to make sure the whole you know, the windows

0:22:17.560 --> 0:22:19.720
<v Speaker 4>are locked and there's an alarm system and all of that.

0:22:21.040 --> 0:22:23.119
<v Speaker 4>And I think that's how you have to think about it,

0:22:23.200 --> 0:22:25.400
<v Speaker 4>is just how do we cover the whole service.

0:22:25.640 --> 0:22:29.040
<v Speaker 2>So everyone lay. People like me have been bombarded over

0:22:29.200 --> 0:22:32.560
<v Speaker 2>it seems like over the last year with one thing

0:22:32.600 --> 0:22:35.879
<v Speaker 2>another about how quickly AI is moving forward and how

0:22:35.920 --> 0:22:37.560
<v Speaker 2>big of a deal it is suddenly is going to

0:22:37.600 --> 0:22:41.760
<v Speaker 2>be in the economy. What is the impact of that

0:22:42.680 --> 0:22:48.639
<v Speaker 2>dramatic change in AI's capabilities on this cybersecurity question? So

0:22:48.760 --> 0:22:51.119
<v Speaker 2>what does it mean if you're defending somebody that you

0:22:51.240 --> 0:22:54.080
<v Speaker 2>now have these sophisticated AI tools, you suppose.

0:22:55.080 --> 0:22:58.320
<v Speaker 3>I think that AI becomes the force multiplier for cyber

0:23:00.119 --> 0:23:04.800
<v Speaker 3>To think about cyber Before it was just locking your doors,

0:23:05.320 --> 0:23:08.320
<v Speaker 3>locking the windows, and if you were really good, you

0:23:08.359 --> 0:23:14.320
<v Speaker 3>had an alarm system. You know. Now with AI, you

0:23:14.359 --> 0:23:17.399
<v Speaker 3>can said, well, I can predict what's going to happen.

0:23:17.520 --> 0:23:19.560
<v Speaker 3>I can see around the corner. I know, I can

0:23:19.640 --> 0:23:22.919
<v Speaker 3>leave my windows open upstairs and it's fine, and it's okay.

0:23:23.160 --> 0:23:25.760
<v Speaker 2>I mean because why because the AI is running a

0:23:25.800 --> 0:23:29.359
<v Speaker 2>million simulations.

0:23:27.560 --> 0:23:31.720
<v Speaker 3>It can And that's exactly it. It becomes the intelligent

0:23:31.920 --> 0:23:35.760
<v Speaker 3>part of that AI. It's not artificial, it's augmented. So

0:23:35.800 --> 0:23:38.720
<v Speaker 3>you now have this new capability to see around corners,

0:23:39.440 --> 0:23:42.640
<v Speaker 3>and so you're able to do the jobs of yesterday

0:23:42.680 --> 0:23:48.560
<v Speaker 3>more effectively. And the queries that you were doing, and

0:23:48.600 --> 0:23:51.879
<v Speaker 3>that's all you're really doing, now you're doing them, you know, faster,

0:23:52.160 --> 0:23:55.879
<v Speaker 3>you're able to access even more data and you're able

0:23:55.920 --> 0:24:00.480
<v Speaker 3>to then make it more secure. So that's why AI

0:24:00.560 --> 0:24:01.879
<v Speaker 3>becomes a force multiplier.

0:24:02.160 --> 0:24:06.240
<v Speaker 2>Yeah, and just talk about the faster part. What does

0:24:06.400 --> 0:24:09.960
<v Speaker 2>faster mean in practical terms? If you're trying to defend

0:24:09.960 --> 0:24:12.720
<v Speaker 2>an enterprise against a cyber attack, what does speed matter

0:24:12.760 --> 0:24:13.440
<v Speaker 2>in that environment?

0:24:14.440 --> 0:24:17.960
<v Speaker 3>You're always trying to find a place through I go

0:24:18.040 --> 0:24:20.200
<v Speaker 3>back to you. We brought up the army. You always

0:24:20.280 --> 0:24:22.000
<v Speaker 3>how do you break the line? How do you find

0:24:22.000 --> 0:24:24.679
<v Speaker 3>a penetration point? And when you think about you know,

0:24:25.119 --> 0:24:29.080
<v Speaker 3>pin testing, penetration testing, where are those? So if you're

0:24:29.119 --> 0:24:31.919
<v Speaker 3>able to do that faster than the bad guys, and

0:24:31.960 --> 0:24:35.560
<v Speaker 3>not only faster, but you're picking more probable points. This

0:24:35.720 --> 0:24:38.600
<v Speaker 3>is back to the intelligence. I could waste time doing

0:24:38.760 --> 0:24:41.840
<v Speaker 3>penetration testing someplace where That's why I mentioned leave if

0:24:41.840 --> 0:24:44.680
<v Speaker 3>they can't get in the second story windows. Why are

0:24:44.720 --> 0:24:48.000
<v Speaker 3>you spending time trying it so that becomes more effective?

0:24:48.800 --> 0:24:51.600
<v Speaker 3>So that's when I think of speed. That's what I

0:24:51.640 --> 0:24:54.080
<v Speaker 3>think of because with not just speed, I think it's

0:24:54.080 --> 0:24:55.720
<v Speaker 3>also what's effective.

0:24:55.560 --> 0:24:57.200
<v Speaker 4>Just to put a put a fine point on it.

0:24:57.320 --> 0:24:59.359
<v Speaker 4>So I found a way in Okay, Now what I

0:24:59.359 --> 0:25:01.000
<v Speaker 4>don't know where the jewelry is, so I have to

0:25:01.040 --> 0:25:03.960
<v Speaker 4>look around and see if there's any hidden gems and

0:25:03.960 --> 0:25:06.120
<v Speaker 4>try to find my way. That used to take a week,

0:25:06.160 --> 0:25:10.080
<v Speaker 4>two weeks, sort of seven to fourteen days. Now it's hours, right,

0:25:10.119 --> 0:25:12.560
<v Speaker 4>So they're in and they can actually expeltrate data within

0:25:12.880 --> 0:25:16.040
<v Speaker 4>less than a day. The metric we use in the

0:25:16.080 --> 0:25:18.960
<v Speaker 4>security operation Center is meantime to detect, so to see

0:25:18.960 --> 0:25:21.959
<v Speaker 4>anyone's there, meantime to respond and remediate to get them

0:25:21.960 --> 0:25:26.200
<v Speaker 4>out right. That used to be also you know, seven eight, nine,

0:25:26.240 --> 0:25:30.320
<v Speaker 4>ten days. Now it needs to be less than an hour.

0:25:31.080 --> 0:25:35.040
<v Speaker 4>And with our AI based security operations platform, it is.

0:25:35.480 --> 0:25:38.360
<v Speaker 4>Now you've got one tool that whether it's all peloton

0:25:38.440 --> 0:25:40.720
<v Speaker 4>networks or whether it's just you know, hoofringing data from

0:25:40.760 --> 0:25:42.920
<v Speaker 4>other places, then you're able to see it all together.

0:25:42.960 --> 0:25:44.960
<v Speaker 4>So you actually get fewer alerts, so you get from

0:25:45.400 --> 0:25:48.679
<v Speaker 4>thousands of alerts down to one hundred alerts right, and

0:25:48.720 --> 0:25:51.240
<v Speaker 4>you can investigate them and you investigate them using AI too.

0:25:51.560 --> 0:25:55.040
<v Speaker 4>And AI is today, it's today's threat, but it's you know,

0:25:55.080 --> 0:25:57.760
<v Speaker 4>you think about threat and opportunity to think about what's next.

0:25:57.760 --> 0:25:59.760
<v Speaker 4>You always have to be kind of evolving.

0:25:59.520 --> 0:26:01.760
<v Speaker 3>And you have to. I think we talk about threat

0:26:01.760 --> 0:26:03.639
<v Speaker 3>and risk. You know, we didn't tell you know, what

0:26:03.720 --> 0:26:08.360
<v Speaker 3>is the cost of cyber some type of penetration. It's

0:26:08.760 --> 0:26:11.800
<v Speaker 3>typical costs is about four and a half million dollars.

0:26:12.920 --> 0:26:17.760
<v Speaker 3>And that's just in labor and remediation. If you think

0:26:17.760 --> 0:26:22.240
<v Speaker 3>about reputational risk as well, our Institute for Business Value

0:26:22.320 --> 0:26:25.320
<v Speaker 3>to the study and found it in twenty twenty three

0:26:25.359 --> 0:26:28.199
<v Speaker 3>and they were thirty nine banks that we watched that

0:26:29.240 --> 0:26:33.240
<v Speaker 3>suffered a reputational risk market value of one hundred and

0:26:33.320 --> 0:26:36.440
<v Speaker 3>thirty billion dollars. And so you start to think, wow,

0:26:36.520 --> 0:26:41.520
<v Speaker 3>that's just reputational risk. So that's what's at stake here,

0:26:42.040 --> 0:26:44.280
<v Speaker 3>and it's only that is only going to get bigger.

0:26:45.080 --> 0:26:47.600
<v Speaker 4>So one of the piece we haven't talked about about

0:26:47.640 --> 0:26:50.040
<v Speaker 4>AI that I find super interesting because we've been talking

0:26:50.160 --> 0:26:53.920
<v Speaker 4>essentially about like the terminator, the robots fighting robots, right,

0:26:53.920 --> 0:26:56.600
<v Speaker 4>like whose robots are quicker? Like I'm designing a tax

0:26:56.640 --> 0:26:58.840
<v Speaker 4>and I'm defending against tax and I think that's that's

0:26:58.880 --> 0:27:03.080
<v Speaker 4>super important. But we recently launch and our working at

0:27:03.080 --> 0:27:05.919
<v Speaker 4>IBM on our AI security product to actually secure the

0:27:05.960 --> 0:27:08.080
<v Speaker 4>use of ALI because it also opens up another set

0:27:08.119 --> 0:27:12.080
<v Speaker 4>of threat factors. I'll give you an example. I'm a

0:27:12.080 --> 0:27:14.800
<v Speaker 4>marketing executive now for your hospital. So I work for you,

0:27:15.480 --> 0:27:19.199
<v Speaker 4>and you want to announce the launch of a new center,

0:27:19.680 --> 0:27:22.119
<v Speaker 4>and so I upload all the information about all the

0:27:22.200 --> 0:27:24.360
<v Speaker 4>patients and our you know how we do things into

0:27:24.400 --> 0:27:26.399
<v Speaker 4>chat GPT to write the PR for me. Well, I've

0:27:26.400 --> 0:27:29.520
<v Speaker 4>also just uploaded to chat GPT a whole bunch of secrets, right.

0:27:30.119 --> 0:27:33.520
<v Speaker 4>So it's it's how employees are using AI, because I think,

0:27:33.560 --> 0:27:35.760
<v Speaker 4>you know, some companies are sort of building their own

0:27:35.800 --> 0:27:37.960
<v Speaker 4>language models and their own AI applications that they want

0:27:37.960 --> 0:27:40.840
<v Speaker 4>to keep secure. Others are just curious about how their

0:27:40.840 --> 0:27:44.359
<v Speaker 4>employees are using AI applications on the shelf, and so

0:27:44.400 --> 0:27:46.719
<v Speaker 4>we announced in May a product where you can actually

0:27:47.480 --> 0:27:50.200
<v Speaker 4>scan and see how AI is being used in your

0:27:50.400 --> 0:27:53.480
<v Speaker 4>enterprise and within We made the announcement with the GA

0:27:53.480 --> 0:27:55.199
<v Speaker 4>was last month, but we made the announcement in May,

0:27:55.240 --> 0:27:58.320
<v Speaker 4>and we had immediately thousands of CIOs signing up because

0:27:58.400 --> 0:28:01.720
<v Speaker 4>just understanding you know who's using what it's another open

0:28:01.800 --> 0:28:05.399
<v Speaker 4>question because you know, we talk about AI enhancing productivity

0:28:05.400 --> 0:28:06.919
<v Speaker 4>and all the benefits it's going to bring, but it

0:28:06.960 --> 0:28:09.760
<v Speaker 4>brings it brings risks, not just in how it's being

0:28:09.840 --> 0:28:12.600
<v Speaker 4>used by the thread actors, but also you know what

0:28:12.640 --> 0:28:13.720
<v Speaker 4>other vulnerabilities that.

0:28:13.720 --> 0:28:17.720
<v Speaker 2>Exc It's the eye that you does that system tell

0:28:17.760 --> 0:28:19.240
<v Speaker 2>you what's a problematic use.

0:28:20.000 --> 0:28:22.440
<v Speaker 4>It does, so what what it does, and you've got

0:28:22.480 --> 0:28:24.200
<v Speaker 4>to train it right. But what it does is say

0:28:24.200 --> 0:28:27.240
<v Speaker 4>this is this is outside of your policy. So CIOs

0:28:27.240 --> 0:28:29.720
<v Speaker 4>will set policies on here's what is acceptable and not

0:28:29.840 --> 0:28:31.680
<v Speaker 4>acceptable use. So we'll be able to scan and say

0:28:31.720 --> 0:28:34.359
<v Speaker 4>these these falling uses are outside of policy, and then

0:28:34.440 --> 0:28:36.440
<v Speaker 4>it'll punt and say I think this is too restrictive,

0:28:36.480 --> 0:28:38.040
<v Speaker 4>I think this is too permissive, and then you can

0:28:38.080 --> 0:28:41.720
<v Speaker 4>sort of update your policies from there. That's just sort

0:28:41.760 --> 0:28:44.240
<v Speaker 4>of the visibility piece, and then there's the run time piece,

0:28:44.240 --> 0:28:46.160
<v Speaker 4>which will actually stop you from using it. So you

0:28:46.200 --> 0:28:48.880
<v Speaker 4>go and say, okay, here's all my patient's social security numbers.

0:28:48.880 --> 0:28:51.480
<v Speaker 4>I'm going to upload them to chat GPT to you know,

0:28:52.080 --> 0:28:54.360
<v Speaker 4>get an understanding of like where they all live. I

0:28:54.400 --> 0:28:56.600
<v Speaker 4>don't know what why you would possibly do that, but

0:28:56.640 --> 0:28:59.000
<v Speaker 4>let's say you are and then you know, it'll note

0:28:59.040 --> 0:29:00.920
<v Speaker 4>that looks like a social security number. You can't upload

0:29:00.920 --> 0:29:02.040
<v Speaker 4>that into your prompt.

0:29:01.920 --> 0:29:07.080
<v Speaker 2>So it will stop you before you Yeah, thoughtful voice

0:29:07.080 --> 0:29:09.719
<v Speaker 2>over your shoulder, just to remind you not to do

0:29:09.760 --> 0:29:13.600
<v Speaker 2>something silly exactly. But this is just talk a little

0:29:13.640 --> 0:29:17.120
<v Speaker 2>bit more about adding AI into this mix. You say

0:29:17.120 --> 0:29:20.680
<v Speaker 2>it's a force multiplier. It's a really interesting dig into that.

0:29:20.720 --> 0:29:24.520
<v Speaker 2>What other instances of what that means? How does the

0:29:25.040 --> 0:29:31.280
<v Speaker 2>balance between AI and human expertise work in the kind

0:29:31.280 --> 0:29:33.000
<v Speaker 2>of next generation of cybersecurity?

0:29:33.840 --> 0:29:38.120
<v Speaker 3>I think the common way to look at as it

0:29:38.280 --> 0:29:41.800
<v Speaker 3>back to the force multipliers, It's not going to be

0:29:42.000 --> 0:29:44.240
<v Speaker 3>is your AI better? But can you use it better?

0:29:44.640 --> 0:29:48.360
<v Speaker 3>Can you ask your AI the right questions? Are you

0:29:48.440 --> 0:29:51.880
<v Speaker 3>well trained? So the competition really becomes your use of AI?

0:29:52.680 --> 0:29:56.080
<v Speaker 3>And are you pointed it in the right direction. You

0:29:56.080 --> 0:29:59.120
<v Speaker 3>have fifty people, can they do the work of two

0:29:59.240 --> 0:30:02.200
<v Speaker 3>hundred and fifty? And can they do it in a

0:30:02.240 --> 0:30:05.320
<v Speaker 3>safe and secure manner? So you're not opening up more

0:30:05.440 --> 0:30:08.680
<v Speaker 3>risk based on or too much risk is your risk

0:30:08.760 --> 0:30:11.520
<v Speaker 3>tolerance in order to get the outcome. So that's why

0:30:11.640 --> 0:30:14.720
<v Speaker 3>I think there's the opportunity. And so you see this

0:30:15.320 --> 0:30:18.040
<v Speaker 3>truly as a force multiplier because the first thing people go, oh,

0:30:18.080 --> 0:30:20.880
<v Speaker 3>you're going to get rid of people. Oh, the people

0:30:20.960 --> 0:30:24.920
<v Speaker 3>portion is still still going to be just as important

0:30:24.920 --> 0:30:26.760
<v Speaker 3>because they're doing that other piece of work.

0:30:26.840 --> 0:30:29.000
<v Speaker 4>One of my favorite statistics is that there are now

0:30:29.120 --> 0:30:31.240
<v Speaker 4>more bank tellers in the US than there were in

0:30:31.320 --> 0:30:34.480
<v Speaker 4>nineteen sixty before the ATM was invented. Right, So, but

0:30:34.480 --> 0:30:36.200
<v Speaker 4>it used to be you would go to your bank

0:30:36.680 --> 0:30:39.000
<v Speaker 4>because you had to. I remember doing this. You go,

0:30:39.160 --> 0:30:40.880
<v Speaker 4>you fill out your deposit slip, you hand it to

0:30:40.960 --> 0:30:43.960
<v Speaker 4>the teller and they give you your cash. And then ATMs

0:30:43.960 --> 0:30:45.680
<v Speaker 4>are invented. It's like, oh no, what's going to happen?

0:30:45.720 --> 0:30:48.480
<v Speaker 4>All these jobs and now there's more, Right, but you're

0:30:48.520 --> 0:30:51.360
<v Speaker 4>not withdrawing money from a bank teller. You're now doing

0:30:51.360 --> 0:30:55.480
<v Speaker 4>more sophisticated transactions. And so I think it's similar with AI, right,

0:30:55.600 --> 0:30:57.960
<v Speaker 4>like you want people doing things that only people can do.

0:30:58.440 --> 0:31:01.280
<v Speaker 2>The human element remains absolutely central in all of this.

0:31:02.840 --> 0:31:07.440
<v Speaker 2>How do you make sure that your cybersecurity folks are

0:31:07.640 --> 0:31:10.600
<v Speaker 2>equipped to handle high value tasks are ready for this

0:31:10.680 --> 0:31:12.520
<v Speaker 2>increasing responsibility.

0:31:13.120 --> 0:31:15.040
<v Speaker 4>There's a couple of ways to answer this, but I

0:31:15.080 --> 0:31:19.480
<v Speaker 4>think the more you're able to automate the routine and

0:31:19.520 --> 0:31:24.440
<v Speaker 4>the mundane tasks. For example, the bulk of cybersecurity happens

0:31:24.440 --> 0:31:27.360
<v Speaker 4>in the security operations center. There's analysts who are sitting

0:31:27.360 --> 0:31:30.480
<v Speaker 4>in that center. If they're spending all day either configuring

0:31:31.560 --> 0:31:34.160
<v Speaker 4>alerts or responding to alerts, they're not able to do

0:31:34.200 --> 0:31:36.960
<v Speaker 4>the advanced sort of threat hunting and analysis work. And

0:31:37.000 --> 0:31:38.680
<v Speaker 4>so I think a big chunk of it is just

0:31:38.720 --> 0:31:41.440
<v Speaker 4>freeing up their time to be able to do the

0:31:41.480 --> 0:31:44.400
<v Speaker 4>more advanced strategic work. And a lot of the automation

0:31:44.480 --> 0:31:48.440
<v Speaker 4>tools based on AI, like our cortex XIM product, is

0:31:49.160 --> 0:31:51.360
<v Speaker 4>it's designed to free up their time in order to

0:31:51.360 --> 0:31:52.040
<v Speaker 4>be able to do that.

0:31:52.640 --> 0:31:56.120
<v Speaker 3>And from our perspective, is making sure that it's a

0:31:56.160 --> 0:32:00.280
<v Speaker 3>requirement to make sure that you have the qualifications because

0:32:00.280 --> 0:32:02.960
<v Speaker 3>people can easily get used to doing what they've always done.

0:32:03.400 --> 0:32:06.360
<v Speaker 3>I know this, and that's that's what I do. You say, well, no,

0:32:07.880 --> 0:32:10.760
<v Speaker 3>all the threat actors are learning on the fly. They're

0:32:10.800 --> 0:32:14.320
<v Speaker 3>trying to always outsmart you. So it's in your best interest,

0:32:14.400 --> 0:32:17.000
<v Speaker 3>our best interest, our client's best and partners best, and

0:32:17.320 --> 0:32:20.200
<v Speaker 3>that you are on the front leaning edge of that

0:32:20.560 --> 0:32:21.680
<v Speaker 3>learning capability.

0:32:22.040 --> 0:32:24.000
<v Speaker 2>If you're talking to a client he wants to develop

0:32:24.080 --> 0:32:29.480
<v Speaker 2>a kind of unified cybersecurity strategy, what's the best single

0:32:29.520 --> 0:32:33.280
<v Speaker 2>piece of advice you can give them?

0:32:33.320 --> 0:32:37.400
<v Speaker 4>You should have a single platform. It's hard not to

0:32:37.440 --> 0:32:40.000
<v Speaker 4>answer that, but it is true. I mean all joking

0:32:40.040 --> 0:32:43.720
<v Speaker 4>aside having you know the best of breed solutions that

0:32:43.760 --> 0:32:45.680
<v Speaker 4>are all talking to each other and able to stitch

0:32:45.720 --> 0:32:49.000
<v Speaker 4>together and identify threats before human might be able to.

0:32:49.920 --> 0:32:52.360
<v Speaker 4>That's number one, and number two is making sure you

0:32:52.360 --> 0:32:55.920
<v Speaker 4>have visibility on all elements so you're able to cover

0:32:55.960 --> 0:32:58.600
<v Speaker 4>your whole environment and understand how people are accessing it.

0:32:58.880 --> 0:33:03.360
<v Speaker 3>I'd say think like a actor. Yeah, always think outside

0:33:03.440 --> 0:33:06.280
<v Speaker 3>in because you get comfortable the other way around.

0:33:07.920 --> 0:33:12.160
<v Speaker 2>You guys work together with a fortunate enviioutrial company, and

0:33:12.480 --> 0:33:14.120
<v Speaker 2>I'd love for you to talk a little bit about

0:33:14.280 --> 0:33:16.360
<v Speaker 2>use that as a kind of case study for what

0:33:16.440 --> 0:33:20.920
<v Speaker 2>this collaboration between the two your two companies looks like.

0:33:21.280 --> 0:33:22.840
<v Speaker 2>When you work with a cloud.

0:33:23.040 --> 0:33:26.000
<v Speaker 4>It really was, you know, IBM leading on a digital

0:33:26.000 --> 0:33:29.320
<v Speaker 4>transformation for this client that wanted to move their applications

0:33:29.360 --> 0:33:31.320
<v Speaker 4>into the cloud, and so you're asking a lot of

0:33:31.400 --> 0:33:34.080
<v Speaker 4>questions about how does AI increase the risk and the

0:33:34.120 --> 0:33:36.480
<v Speaker 4>surface area. Those same questions ten years ago were asked

0:33:36.480 --> 0:33:38.880
<v Speaker 4>about the cloud. And we're still on the journey where

0:33:38.960 --> 0:33:42.040
<v Speaker 4>where companies are migrating to the cloud. We're not anywhere

0:33:42.080 --> 0:33:44.240
<v Speaker 4>near finished that yet. And so there's two pieces to

0:33:44.280 --> 0:33:46.440
<v Speaker 4>a cloud migration. One is just refactoring for the cloud

0:33:46.480 --> 0:33:48.760
<v Speaker 4>to make sure the application works effectively in the cloud.

0:33:49.080 --> 0:33:51.040
<v Speaker 4>And the second is security. And then you built in

0:33:51.040 --> 0:33:54.640
<v Speaker 4>security by design using POW does prison of cloud products

0:33:54.640 --> 0:33:56.600
<v Speaker 4>to make sure that not only did you have the

0:33:56.680 --> 0:33:59.200
<v Speaker 4>visibility so our cloud product you can scan and see

0:33:59.200 --> 0:34:02.640
<v Speaker 4>where the vulnerability. And then there's also you know, cloud

0:34:03.120 --> 0:34:07.080
<v Speaker 4>firewalls essentially that will keep bad actors out and keep

0:34:07.120 --> 0:34:08.600
<v Speaker 4>the cloud instant secure.

0:34:09.640 --> 0:34:12.520
<v Speaker 2>If we sit down and have this conversation five years

0:34:12.560 --> 0:34:15.120
<v Speaker 2>from now, which I actually hope we do, be fun,

0:34:16.320 --> 0:34:20.840
<v Speaker 2>this pretend is twenty twenty nine. Tell me what are

0:34:20.880 --> 0:34:22.480
<v Speaker 2>you happy about in twenty twenty nine.

0:34:22.719 --> 0:34:28.360
<v Speaker 3>I think twenty twenty nine quantum computing is mainstream. I

0:34:28.360 --> 0:34:34.080
<v Speaker 3>think quantum computing is now quantum safe, where we're using

0:34:34.880 --> 0:34:39.720
<v Speaker 3>quantum computing to make sure that those bad actors aren't

0:34:39.719 --> 0:34:42.040
<v Speaker 3>as bad as they used to be back in twenty

0:34:42.040 --> 0:34:46.160
<v Speaker 3>twenty four, and that we're seeing around the corners and

0:34:46.280 --> 0:34:51.400
<v Speaker 3>that we're empowering our Palo Alto relationship. That in twenty

0:34:51.480 --> 0:34:56.279
<v Speaker 3>twenty nine is the premiere type of capability that people

0:34:56.280 --> 0:34:59.319
<v Speaker 3>are looking at when they think of what used to

0:34:59.360 --> 0:35:02.279
<v Speaker 3>be AI. Now is quantum capability.

0:35:02.520 --> 0:35:07.319
<v Speaker 4>Yeah, yeah, I think for AI, everyone's just using it

0:35:07.320 --> 0:35:10.160
<v Speaker 4>as part of their job. The way email was an

0:35:10.200 --> 0:35:12.840
<v Speaker 4>innovation in the nineties, the way you know cloud was

0:35:12.840 --> 0:35:15.719
<v Speaker 4>an innovation in the twenty tens, and we thought, how

0:35:15.719 --> 0:35:17.279
<v Speaker 4>are we going to use this? What impact is it

0:35:17.320 --> 0:35:19.759
<v Speaker 4>going to have on productivity? All these people who are

0:35:19.760 --> 0:35:22.000
<v Speaker 4>spending their days typing up memos, like what are they

0:35:22.000 --> 0:35:24.520
<v Speaker 4>going to do? We're going to be past that fear

0:35:24.640 --> 0:35:27.239
<v Speaker 4>and we're all going to understand that it is this

0:35:27.520 --> 0:35:31.319
<v Speaker 4>like truly positive force multiplier. For you know, every employee

0:35:31.440 --> 0:35:35.200
<v Speaker 4>is able to do their best work and spend their

0:35:35.239 --> 0:35:37.279
<v Speaker 4>time on the things that only they can do, and

0:35:37.320 --> 0:35:39.480
<v Speaker 4>then the AI is doing the rest of that for them.

0:35:39.560 --> 0:35:44.160
<v Speaker 3>Right, AI is fun to enable many things to work together.

0:35:44.400 --> 0:35:47.799
<v Speaker 3>It won't be just one language model. We won't even

0:35:47.840 --> 0:35:51.040
<v Speaker 3>think about. It will be the difference between you know,

0:35:51.920 --> 0:35:56.360
<v Speaker 3>Malcolm having a fax machine, stereo and a telephone and

0:35:56.840 --> 0:35:59.600
<v Speaker 3>a memo board. Now it's in your pocket and it's

0:35:59.640 --> 0:36:01.880
<v Speaker 3>all one thing and you don't even call that, you know.

0:36:01.920 --> 0:36:03.680
<v Speaker 3>I said, walk them into my kids the other day

0:36:03.680 --> 0:36:07.319
<v Speaker 3>and they're like, what's a walk man? So I do

0:36:07.400 --> 0:36:09.319
<v Speaker 3>think it will. It'll be part of the past and

0:36:09.360 --> 0:36:12.520
<v Speaker 3>it's it will be the thought of the seamless connection.

0:36:12.640 --> 0:36:19.680
<v Speaker 3>That is secure seamless connection, of HR, of finance, of distribution, logistics,

0:36:19.680 --> 0:36:23.360
<v Speaker 3>of billing, all of those will have a capability to

0:36:23.400 --> 0:36:24.360
<v Speaker 3>work together.

0:36:24.719 --> 0:36:28.160
<v Speaker 2>Yeah, I have to do some social quick fire questions

0:36:28.640 --> 0:36:29.640
<v Speaker 2>you guys ready.

0:36:29.400 --> 0:36:29.879
<v Speaker 3>All right?

0:36:31.320 --> 0:36:34.000
<v Speaker 2>What's the number one thing that people misunderstand about AI?

0:36:35.440 --> 0:36:38.680
<v Speaker 3>The reliance on data? What do you mean by that?

0:36:39.480 --> 0:36:42.000
<v Speaker 3>I think that it's just assumed that it's happening and

0:36:42.200 --> 0:36:44.680
<v Speaker 3>it can just go out and grab data anywhere.

0:36:45.680 --> 0:36:47.319
<v Speaker 2>Yeah, you have.

0:36:47.280 --> 0:36:50.520
<v Speaker 3>To have good data, reliable data, and access to the data.

0:36:51.239 --> 0:36:53.000
<v Speaker 4>I mean people are too afraid of it.

0:36:53.400 --> 0:36:56.480
<v Speaker 2>Checkbox and image generators are the biggest things in consumer

0:36:56.520 --> 0:36:58.440
<v Speaker 2>AI right now. What do you think is that next

0:36:58.480 --> 0:36:59.759
<v Speaker 2>big business application?

0:37:00.760 --> 0:37:04.000
<v Speaker 3>I think it's the tying together of multiple capabilities. I'm

0:37:04.080 --> 0:37:07.360
<v Speaker 3>hinted towards this earlier is I think tying together the

0:37:07.480 --> 0:37:10.160
<v Speaker 3>disparate systems that sit in different parts of the organization

0:37:10.200 --> 0:37:12.839
<v Speaker 3>front office, back office, making it one office and tying

0:37:12.840 --> 0:37:14.560
<v Speaker 3>together those different functions. That's it.

0:37:15.640 --> 0:37:18.080
<v Speaker 4>I mean, it's workflow automation. I think back to your

0:37:18.080 --> 0:37:21.319
<v Speaker 4>point on the reliance on data seems easy. It's a

0:37:21.320 --> 0:37:22.759
<v Speaker 4>lot harder than you think, because you have to have

0:37:22.800 --> 0:37:24.760
<v Speaker 4>everything set up in exactly the right way to get

0:37:25.000 --> 0:37:27.680
<v Speaker 4>all of your systems automated and the sort of the

0:37:27.680 --> 0:37:29.839
<v Speaker 4>more boring jobs taken care of so that humans could

0:37:29.880 --> 0:37:30.880
<v Speaker 4>do the strategic ones.

0:37:32.600 --> 0:37:35.080
<v Speaker 2>How are you already using AI in your day to

0:37:35.120 --> 0:37:35.600
<v Speaker 2>day life?

0:37:37.800 --> 0:37:40.720
<v Speaker 4>I mean I use it at work all the time,

0:37:41.360 --> 0:37:43.319
<v Speaker 4>and then I've found right now I go to chat,

0:37:43.400 --> 0:37:46.520
<v Speaker 4>GPT instead of Google to look things up. I like

0:37:46.560 --> 0:37:47.400
<v Speaker 4>having a conversation.

0:37:48.840 --> 0:37:52.920
<v Speaker 3>We have a wonderful capability in our consulting business called

0:37:53.520 --> 0:37:57.719
<v Speaker 3>our consulting assistant, and consulting advantage is the proper name

0:37:57.760 --> 0:37:59.760
<v Speaker 3>for it, but I look at it as that assistant.

0:38:00.400 --> 0:38:02.680
<v Speaker 3>It's a force multiplier for me. So if I need

0:38:02.719 --> 0:38:07.520
<v Speaker 3>to pull together content proposals with the teams, we go

0:38:07.600 --> 0:38:08.120
<v Speaker 3>straight to that.

0:38:08.960 --> 0:38:11.440
<v Speaker 2>We are one more we hear, so many definitions of

0:38:11.520 --> 0:38:14.799
<v Speaker 2>open related to technology. How do you define it and

0:38:14.840 --> 0:38:16.960
<v Speaker 2>how does the concept help you innovate?

0:38:18.120 --> 0:38:21.600
<v Speaker 4>By definition? In cybersecurity, you don't want to be too open, right,

0:38:22.040 --> 0:38:26.040
<v Speaker 4>So I think we enable openness with this concept of

0:38:26.120 --> 0:38:28.400
<v Speaker 4>zero trust and saying like everyone's invited in as long

0:38:28.400 --> 0:38:31.080
<v Speaker 4>as you have the right credentials, right. So that's that's

0:38:31.160 --> 0:38:33.000
<v Speaker 4>one way, and then the other way is just making

0:38:33.040 --> 0:38:36.560
<v Speaker 4>sure you're connected to all the different systems in order

0:38:36.560 --> 0:38:38.880
<v Speaker 4>to be able to have that visibility and see what's happening.

0:38:38.880 --> 0:38:42.719
<v Speaker 4>Because if you are blind, that's the minute you have

0:38:42.719 --> 0:38:43.560
<v Speaker 4>that vulnerability.

0:38:43.719 --> 0:38:49.680
<v Speaker 3>Yeah, and I'd say it's moving quickly with security. It

0:38:49.760 --> 0:38:53.439
<v Speaker 3>sounds contradictory open. Oh then that means you're not safe. No,

0:38:53.520 --> 0:38:54.960
<v Speaker 3>you are safe and you can move faster.

0:38:55.280 --> 0:38:56.960
<v Speaker 2>Yeah, thank you so much. It's fun.

0:38:57.080 --> 0:38:58.680
<v Speaker 4>Thanks a lot, Thank you great. We'll see you in

0:38:58.719 --> 0:38:59.200
<v Speaker 4>five years.

0:38:59.280 --> 0:39:03.720
<v Speaker 2>Yea years, five years, man, I'll be old in five years.

0:39:05.960 --> 0:39:09.719
<v Speaker 2>Thank you to Jason kellyot IBM and Christy Fredericks at

0:39:09.760 --> 0:39:14.440
<v Speaker 2>Palo Alto Networks for that fascinating conversation about the threats

0:39:14.480 --> 0:39:20.280
<v Speaker 2>and opportunities in cybersecurity today. As Jason and Christie stressed,

0:39:20.640 --> 0:39:25.120
<v Speaker 2>AI can be a force multiplier for enterprise across industries.

0:39:26.120 --> 0:39:28.600
<v Speaker 2>When you're working with multiple products and have your data

0:39:28.640 --> 0:39:32.920
<v Speaker 2>in distributed environments, you need technology that will work across

0:39:33.000 --> 0:39:37.560
<v Speaker 2>your organization, and with Palo Alto Networks platform, you can

0:39:37.680 --> 0:39:43.600
<v Speaker 2>enhance cyber resiliency and simplify your operations. Through their collaboration,

0:39:44.000 --> 0:39:47.520
<v Speaker 2>IBM and Palo Alto Networks are charting the future a

0:39:47.640 --> 0:39:54.880
<v Speaker 2>fully integrated open end to end security solutions. Smart Talks

0:39:54.880 --> 0:39:58.200
<v Speaker 2>with IBM is produced by Matt Romano, Joey fish Ground,

0:39:58.320 --> 0:40:03.080
<v Speaker 2>Amy Gaines McQuaid, and Jacob Goldstein. We're edited by Lydia

0:40:03.120 --> 0:40:07.000
<v Speaker 2>Jane Kott. Our engineers are Sarah Bruguerer and Ben Tolliday.

0:40:07.320 --> 0:40:10.200
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0:40:10.520 --> 0:40:14.239
<v Speaker 2>and IBM teams, as well as the Pushkin Marketing team.

0:40:14.640 --> 0:40:17.400
<v Speaker 2>Smart Talks with IBM is a production of Pushkin Industries

0:40:17.680 --> 0:40:21.960
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0:40:22.280 --> 0:40:26.080
<v Speaker 2>listen on the iHeartRadio app, Apple Podcasts, or wherever you

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