WEBVTT - How AI Can Accelerate Cybersecurity

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<v Speaker 1>Hello, Hello, Welcome to Smart Talks with IBM, a podcast

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<v Speaker 1>from Pushkin Industries, iHeart Radio and IBM. I'm Malcolm Glapwell.

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<v Speaker 1>This season, we're diving back into the world of artificial intelligence,

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<v Speaker 1>but with a focus on the powerful concept of open

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<v Speaker 1>its possibilities, implications, and misconceptions. We'll look at openness from

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<v Speaker 1>a variety of angles and explore how the concept is

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<v Speaker 1>already reshaping industries, ways of doing business and our very

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<v Speaker 1>notion of what's possible. On today's episode, I'm joined by

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<v Speaker 1>Jason Kelly, the global Managing Partner for IBM Strategic Partners

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<v Speaker 1>and Ecosystems, and by Christy Fredericks, the Senior Vice president

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<v Speaker 1>and Chief Partnership Officer at Palo Alto Networks. We discussed

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<v Speaker 1>how their partnership in the cybersecurity space helps strengthen enterprises

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<v Speaker 1>by focusing on seamless cybersecurity solutions tailored to meet the

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<v Speaker 1>evolving threat landscape. By leveraging AI and automation, this collaboration

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<v Speaker 1>aims to modernize security programs, improve response times, and produce risks.

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<v Speaker 1>Jason and Christie both bring a tremendous amount of experience

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<v Speaker 1>and expertise to the subject I think you're really going

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<v Speaker 1>to enjoy this one. Jason Christy, Welcome to Smart Talks

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<v Speaker 1>with IBM. Thank you for joining me.

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<v Speaker 2>Thank you.

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<v Speaker 3>It's great to be here.

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<v Speaker 1>We are here to discuss cybersecurity and the partnership between

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<v Speaker 1>IBM and Palo Alto Networks. But before we get there,

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<v Speaker 1>I wanted you guys to tell me a little bit

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<v Speaker 1>about yourself. Jason, start with you. I see on your

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<v Speaker 1>resume west Point, which makes we think there's some interesting

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<v Speaker 1>things going on. How did you get to west Point?

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<v Speaker 2>West Point? West Point was the decision. First, it was

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<v Speaker 2>it was affordable back in the day. But I had

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<v Speaker 2>a sense of service. My father was a World War

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<v Speaker 2>Two vet, so I grew up on the weekends watching

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<v Speaker 2>World War two video. You know he's army as well. Yeah,

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<v Speaker 2>and so I thought, oh that'd be exciting, and I

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<v Speaker 2>thought I do some type of service. Went there and

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<v Speaker 2>now I have the biggest family, extended family I could

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<v Speaker 2>ever have. So it was very exciting. Played football lucked out,

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<v Speaker 2>meaning I wasn't recruited. I walked on and that kept

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<v Speaker 2>me there because it gave me something and out left

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<v Speaker 2>with all the other pressures defensive back, I was I

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<v Speaker 2>was great at knocking the ball down, not the best

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<v Speaker 2>at catching it.

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<v Speaker 1>Yeah, and then you were a ranger.

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<v Speaker 2>I was. I was privileged to be a US Army

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<v Speaker 2>airborne ranger station, but did most of my time in

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<v Speaker 2>northern Italy. We're part of the it's eighty second airbarnship post.

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<v Speaker 2>Oh yeah, people say seriously, like, you know, you were,

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<v Speaker 2>you were, you were drinking wine and having bred you know.

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<v Speaker 2>But it was a part of a NATO force there

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<v Speaker 2>at the time. Yeah, so exciting.

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<v Speaker 1>How did you get from there to IBM?

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<v Speaker 2>A long path. As I came out of the military,

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<v Speaker 2>I started manufacturing retail housing and did a quick stint,

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<v Speaker 2>took a leave of absence from industry, and did a

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<v Speaker 2>stint of yet again public service in the state of

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<v Speaker 2>Tennessee with economic development, and got a whiff of how

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<v Speaker 2>fun it could be to do things around data and media.

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<v Speaker 2>Started a small media firm what we would now call

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<v Speaker 2>a digital firm, sold it and said I wanted to

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<v Speaker 2>go do it again somewhere, but I wanted to go

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<v Speaker 2>to a big company. And the family at IBM brought

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<v Speaker 2>me in and yet to let me go.

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<v Speaker 1>That was how many years ago?

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<v Speaker 2>Two decades?

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<v Speaker 3>Oh wow?

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<v Speaker 2>Yeah, so, I know I look amazingly young on but yes,

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<v Speaker 2>you must have. And IBM was my fifth career and

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<v Speaker 2>and and I've enjoyed a since and that's what I

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<v Speaker 2>what I do. They build teams, grow new parts of

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<v Speaker 2>the company and get to work with some of the

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<v Speaker 2>most brilliant people on the face of the planet, as

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<v Speaker 2>well as partners like Christy that just keep it exciting.

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<v Speaker 1>Christy, you're I was delighted to learn that you are Canadian.

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<v Speaker 1>Yes here, Yeah, but you so you were a consultant

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<v Speaker 1>for a long time at Bane.

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<v Speaker 3>Yes, yeah. I joined Bain Consulting intending to spend a

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<v Speaker 3>couple of years there learn the ropes and then go

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<v Speaker 3>get my first real job. But the value personally to

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<v Speaker 3>my growth and development, and then that we were able

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<v Speaker 3>to bring our clients. I ended up there for sixteen years,

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<v Speaker 3>and then post Bain went on to another my first

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<v Speaker 3>product company, a new relic, and then it's come full

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<v Speaker 3>circle at Powlta Networks. But at Bain it was all

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<v Speaker 3>about bringing expertise across different industries to help our clients

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<v Speaker 3>improve whatever they needed to improve and bringing that expertise

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<v Speaker 3>to bear and then you have the product lens and

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<v Speaker 3>you think, Okay, we're going to build the absolute best

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<v Speaker 3>product to help our customers do what they need to

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<v Speaker 3>get done. And then I joined pal Alto about six

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<v Speaker 3>seven months ago in a partnership's role and I'm delighted

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<v Speaker 3>to be able to work with amazing consulting companies like

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<v Speaker 3>IBM where we bring both to bear.

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<v Speaker 1>How long have IBM and Paulo Alto Network's been partners?

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<v Speaker 2>So we've been We've been working together for quite quite

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<v Speaker 2>a long time, but we made it official, meaning we

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<v Speaker 2>got married as strategic partners last year.

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<v Speaker 1>Oh I see. So what is it that each of

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<v Speaker 1>you bring to the table? What's each side special?

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<v Speaker 2>So it's great that you asked that because about a

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<v Speaker 2>decade ago, are now CEO Arvin Christ says, you know,

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<v Speaker 2>it wouldn't be great if we just had this one

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<v Speaker 2>focus with this what does IBM do? And you have

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<v Speaker 2>this whole list, and he says, let's make it simple.

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<v Speaker 2>We are a multi cloud, hybrid cloud AIIC company. And

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<v Speaker 2>so when you say that, it sounds very simple, but

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<v Speaker 2>then people, what the hell is that? What your hybrid cloud? Well,

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<v Speaker 2>both of those two things have a lot of data

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<v Speaker 2>involved and a lot of those mean that that data

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<v Speaker 2>is going to sit in multiple places and distributed environments. Well,

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<v Speaker 2>if you're able to tie those things together with multiple partners,

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<v Speaker 2>you also have to make sure that it's secure because

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<v Speaker 2>in the direction that we're going, where data is now

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<v Speaker 2>being consumed in many different places and it is the

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<v Speaker 2>fuel behind AI as we know, then you say, ah, well,

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<v Speaker 2>who does that well and who does it in a

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<v Speaker 2>way that's getting rid of seams, the seams that could

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<v Speaker 2>be across multiple products, multiple product SATs even And that's

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<v Speaker 2>where Powell comes in.

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<v Speaker 3>I think the conventional wisdom and cybersecurity was always you

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<v Speaker 3>need all the new tools, right, you need it every threat.

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<v Speaker 3>It's like, whack them all. Every threat that pops up,

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<v Speaker 3>you get the tool that's purpose built for that specific thing. Well,

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<v Speaker 3>fast forward to you know, the RSA conference this year,

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<v Speaker 3>there were four thousand vendors on the floor. You look

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<v Speaker 3>at an average company, there's hundreds of cybersecurity tools. It

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<v Speaker 3>introduces a level of complexity that is really hard to

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<v Speaker 3>manage you as a user. Query and application, right, that

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<v Speaker 3>query can go through a bunch of different pings from

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<v Speaker 3>one cloud to the next. It goes into and out

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<v Speaker 3>of assaas application. It maybe running along a network. You

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<v Speaker 3>may be accessing it from your phone, which is an

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<v Speaker 3>unmanaged device. It's got to go in and out. And

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<v Speaker 3>if you say, okay, I've got to secure that phone,

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<v Speaker 3>I've got to secure the network, I've got it. And

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<v Speaker 3>then all of a sudden you've got sort of firewalls,

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<v Speaker 3>software and hardwelfiles popping up everywhere. You've got cloud security,

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<v Speaker 3>and it's you've probably heard of this concept of zero trust,

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<v Speaker 3>which is every time you have to check and say

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<v Speaker 3>are you allowed in here? Are you allowed in here?

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<v Speaker 3>The number of places that can fall down it just

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<v Speaker 3>becomes overwhelming. So you end up with either alerts firing,

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<v Speaker 3>you know, every two seconds that you have to then

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<v Speaker 3>go invest again, most of which are false positives or

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<v Speaker 3>you miss something right. And so that was the conventionalism

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<v Speaker 3>was we've got to buy all these tools, and now

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<v Speaker 3>you've got overwhelmed CIOs and CSOs with hundreds of tools,

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<v Speaker 3>and Palo Alto strategy has been, look, we're going to

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<v Speaker 3>create a platform where everything can be stitched together, everything

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<v Speaker 3>can speak the same language, and we can sort of

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<v Speaker 3>manage throughout the architecture and watch, you know, this call

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<v Speaker 3>as as it's passing through all these different checkpoints, and

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<v Speaker 3>we can do it in a way that you still

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<v Speaker 3>have the confidence that it's best to breed right, so

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<v Speaker 3>you're not making any trade offs. But it's not so

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<v Speaker 3>simple just to get from the spaghetti to the seamless architecture.

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<v Speaker 3>You need, oftentimes to re engineer your business processes. You

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<v Speaker 3>have to re architect your digital environment. And so that's

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<v Speaker 3>where we partner with a company like IBM to bring

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<v Speaker 3>that expertise and say we're going to help you not

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<v Speaker 3>just deploy the best cybersecurity architecture, but really get your

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<v Speaker 3>environment ready to have this zero testomer.

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<v Speaker 2>As well as all of those players that cross at spaghetti.

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<v Speaker 2>Because when you start thinking about all the other partners

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<v Speaker 2>that you work with, if you're you think of an

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<v Speaker 2>industry perspective, you're going to have an ERP. It could

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<v Speaker 2>be an Oracle, it could be an SAP. You're not

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<v Speaker 2>going to have one cloud, as I mentioned, it's gonna

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<v Speaker 2>be possibly multiple clouds. You'll have some AWS maybe Microsoft Azure,

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<v Speaker 2>and then even even some Google in there, and then

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<v Speaker 2>your own that you've built in your private over there, uh,

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<v Speaker 2>some an IBM cloud. You'll have those multiple clouds, and

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<v Speaker 2>then you also will have you know, fit for purpose.

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<v Speaker 2>Oh I need a I need a salesforce in there

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<v Speaker 2>for my customer focusing. I need I'm doing some graphics,

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<v Speaker 2>so I have Adobe, so I just as I can

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<v Speaker 2>name name name, all of those then have to be

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<v Speaker 2>re engineered. Seriously. I mean, come on, Malcolm, You're gonna

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<v Speaker 2>sit there. You think how long that would take. So

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<v Speaker 2>if you haven't done that before, you're going to have

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<v Speaker 2>to go to each one of those individually, or you

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<v Speaker 2>can work with a company that can tie those things together,

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<v Speaker 2>because we are also strategic partners with them. So that's

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<v Speaker 2>where you start to say, Okay, I see how this

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<v Speaker 2>comes together. You have to make sure that your ecosystem

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<v Speaker 2>is going to be stronger than your competitor's ecosystem, and

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<v Speaker 2>you have to be secure in what you're doing because

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<v Speaker 2>as you add more players or products, you create seams,

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<v Speaker 2>and you want to make sure there's fewer seams and

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<v Speaker 2>that there's zero trust across that capability you're building. And

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<v Speaker 2>that's why the compliment between the two companies.

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<v Speaker 1>We'll take a step back from a moment before we

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<v Speaker 1>sort of launch. Once get into the specifics of what

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<v Speaker 1>you guys are doing. I'm curious at this moment in

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<v Speaker 1>twenty twenty four, how nervous should we be about cybersecurity?

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<v Speaker 1>So compared it to five years ago or ten years ago,

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<v Speaker 1>are we are you less nervous than you were five

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<v Speaker 1>years ago or more nervous or all of changes going

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<v Speaker 1>on right now increasing vulnerability or decreasing it?

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<v Speaker 2>I would say Chris, also, I think we share the

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<v Speaker 2>point of views that it's not necessarily being more nervous.

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<v Speaker 2>I think you should be more prepared. Yeah, because the

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<v Speaker 2>amounts of threat is increasing based on our dependence upon data.

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<v Speaker 2>And that's that's where I think the attention should be placed.

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<v Speaker 2>Is that more and more, especially with the importance of

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<v Speaker 2>AI that you say, okay, then what's under all that?

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<v Speaker 2>And it's the data? As I said, so knowing that

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<v Speaker 2>you should be more concerned.

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<v Speaker 1>Does the advent of AI and it's rapid evolution help

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<v Speaker 1>defense more or offense more?

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<v Speaker 3>I think it's I think it's like any mega trend

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<v Speaker 3>that we've witnessed both. Right, So you think about AI,

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<v Speaker 3>it's ninety nine percent great right in terms of what

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<v Speaker 3>it's going to unlock for productivity for humanity, But it

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<v Speaker 3>also makes it a whole lot easier to build ransomware.

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<v Speaker 3>It's a whole lot easier to take different ways into

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<v Speaker 3>a system, right. But I think that's true if you

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<v Speaker 3>think about like the rise of the Internet, right, all

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<v Speaker 3>of a sudden, everyone was putting their data online and

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<v Speaker 3>you had to think of new ways to stay ahead

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<v Speaker 3>and keep that secure. And I don't think AI is

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<v Speaker 3>any different. You've got companies like Palta, partnerships like Powell

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<v Speaker 3>and IBM that are constantly scanning the landscape for not

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<v Speaker 3>only the current threats, but what's next, what's coming around

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<v Speaker 3>the corner, what's after AI? And so I think taking

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<v Speaker 3>it seriously and being prepared is probably the right way

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<v Speaker 3>of looking at it, as opposed to because if you

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<v Speaker 3>think about it too hard, you'll just want to crawl

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<v Speaker 3>into a corner and stuff everything under the mattress.

0:12:39.760 --> 0:12:46.959
<v Speaker 1>I am the CEO of a regional hospital chain, big

0:12:47.120 --> 0:12:52.160
<v Speaker 1>distribute healthcare system, so a ton of data. The consequences

0:12:52.160 --> 0:12:56.120
<v Speaker 1>of being hacked and help for ransom are life and death.

0:12:56.280 --> 0:13:00.640
<v Speaker 1>Life and death. When you come so you you come down,

0:13:00.720 --> 0:13:02.480
<v Speaker 1>You sit down with me, and you chat with me.

0:13:03.880 --> 0:13:06.200
<v Speaker 1>Walk me through the kinds of things you would tell

0:13:06.240 --> 0:13:09.320
<v Speaker 1>me about what I need to get safer. For example,

0:13:09.480 --> 0:13:12.360
<v Speaker 1>let's start with one. Is it likely that I'm spending

0:13:12.360 --> 0:13:14.520
<v Speaker 1>too little or am I spending money in the wrong place?

0:13:15.400 --> 0:13:19.440
<v Speaker 3>Great question, It depends how you've broken it out. If

0:13:19.480 --> 0:13:22.640
<v Speaker 3>you are distributing all of your dollars across a whole

0:13:22.640 --> 0:13:25.200
<v Speaker 3>bunch of different tools, it's likely you're just spending the

0:13:25.240 --> 0:13:27.480
<v Speaker 3>wrong money. And in fact, you know, putting it all

0:13:27.520 --> 0:13:30.280
<v Speaker 3>in one place is a way of potentially saving money

0:13:30.640 --> 0:13:34.480
<v Speaker 3>but keeping your security actually higher. And I'd love to

0:13:34.480 --> 0:13:36.320
<v Speaker 3>hear Jason, how you would approach it. How we would

0:13:36.320 --> 0:13:38.520
<v Speaker 3>approach it, of course, is by saying, you know what,

0:13:38.520 --> 0:13:41.640
<v Speaker 3>what does your environment look like? You know, do you

0:13:41.720 --> 0:13:46.160
<v Speaker 3>have the connected medical devices into your EMR? Are your

0:13:46.280 --> 0:13:49.760
<v Speaker 3>respirators and ventilators all online? Right? And so we would

0:13:49.800 --> 0:13:52.640
<v Speaker 3>talk about, okay, here's how you get coverage, and how

0:13:52.679 --> 0:13:55.200
<v Speaker 3>the coverage of both the firewalls as well as the

0:13:55.280 --> 0:13:58.679
<v Speaker 3>detectors all feedback into your security operation center and you

0:13:58.720 --> 0:14:01.319
<v Speaker 3>can manage it and and do your learning with AI

0:14:02.360 --> 0:14:03.480
<v Speaker 3>and keep yourself securing.

0:14:03.520 --> 0:14:05.800
<v Speaker 2>So yeah, and I would say Christy and I would

0:14:05.840 --> 0:14:08.280
<v Speaker 2>go to the same point because if you get under

0:14:08.559 --> 0:14:12.080
<v Speaker 2>what she was just asking it is your data on

0:14:12.160 --> 0:14:16.320
<v Speaker 2>prem and when it's on prem, how active is it

0:14:16.360 --> 0:14:20.520
<v Speaker 2>across the enterprise? And so that begins the basis for

0:14:20.560 --> 0:14:22.520
<v Speaker 2>the start. And then often you're going to say, well,

0:14:22.520 --> 0:14:25.720
<v Speaker 2>we actually take in data from outside and then we

0:14:25.760 --> 0:14:29.240
<v Speaker 2>also have the circumstances. There's a lot of PII and

0:14:29.320 --> 0:14:34.520
<v Speaker 2>so that personal is the personal information, right, Yeah, And

0:14:34.600 --> 0:14:37.840
<v Speaker 2>so now you're saying, okay, now, how are we securing

0:14:37.920 --> 0:14:40.760
<v Speaker 2>that and where are we securing it? And so you

0:14:40.840 --> 0:14:44.640
<v Speaker 2>have to start really thinking about the different areas within

0:14:44.960 --> 0:14:49.040
<v Speaker 2>that hospital chain. Are you sharing that amongst your hospitals?

0:14:49.600 --> 0:14:52.760
<v Speaker 2>And now you start to think of if I'm saying

0:14:52.800 --> 0:14:54.240
<v Speaker 2>no to a lot of that, it's like, well, then

0:14:54.280 --> 0:14:56.920
<v Speaker 2>are you as efficient as you want to be? So

0:14:57.000 --> 0:15:00.520
<v Speaker 2>there is that trade off of you know, am I

0:15:00.560 --> 0:15:04.120
<v Speaker 2>so tightly walled that I'm not productive? And so that's

0:15:04.160 --> 0:15:07.240
<v Speaker 2>where we would start to say, what's the outcome that

0:15:07.280 --> 0:15:09.400
<v Speaker 2>you're trying to get to? All Right, maybe you're good,

0:15:09.440 --> 0:15:11.800
<v Speaker 2>Maybe you're you're good with your five locations and you

0:15:11.840 --> 0:15:14.320
<v Speaker 2>don't need to go any further, but maybe you want

0:15:14.360 --> 0:15:16.400
<v Speaker 2>to expand to fifty and by the way, you're going

0:15:16.440 --> 0:15:18.160
<v Speaker 2>to go crossport or you're going to be in Toronto

0:15:18.480 --> 0:15:21.640
<v Speaker 2>and in New York. Okay, well then how do you

0:15:21.720 --> 0:15:25.160
<v Speaker 2>do that? And so I think that it's very easy

0:15:25.200 --> 0:15:30.560
<v Speaker 2>to start jumping into any of the typical situations. But

0:15:30.680 --> 0:15:33.400
<v Speaker 2>the first question that you have to ask you, as

0:15:33.480 --> 0:15:38.200
<v Speaker 2>the hospital CEOs, what's your objective? What are you what

0:15:38.240 --> 0:15:40.840
<v Speaker 2>are you trying to do? Because too often what we

0:15:40.920 --> 0:15:44.240
<v Speaker 2>see is that there's some bright, new, shiny thing that

0:15:44.320 --> 0:15:47.040
<v Speaker 2>everybody wants to put in play. You know, it's a

0:15:47.080 --> 0:15:50.520
<v Speaker 2>sandwich looking for lunch, and you go, but what is

0:15:50.560 --> 0:15:52.600
<v Speaker 2>it that you want to do as this Are you

0:15:52.640 --> 0:15:56.520
<v Speaker 2>doing research? Are your research hospital? Are you more consumer oriented?

0:15:56.800 --> 0:15:58.960
<v Speaker 2>So those are the questions you start to ask because

0:15:59.000 --> 0:16:01.800
<v Speaker 2>they start to then tell a story in line with

0:16:01.800 --> 0:16:05.480
<v Speaker 2>what Christy questions. And I think that that's where the again,

0:16:05.520 --> 0:16:08.600
<v Speaker 2>the complement is that instead of just saying, oh, well,

0:16:08.640 --> 0:16:11.280
<v Speaker 2>that's thanks for telling me all this, Malcolm, here's your

0:16:11.520 --> 0:16:16.440
<v Speaker 2>ten page strategy, go find somebody. We have the benefit

0:16:17.120 --> 0:16:19.480
<v Speaker 2>in IBM, and is probably why I'm still there is

0:16:19.560 --> 0:16:22.160
<v Speaker 2>you know, we're very unique. We're the only company on

0:16:22.200 --> 0:16:27.000
<v Speaker 2>the planet that has a consulting business at scale inside

0:16:27.000 --> 0:16:30.880
<v Speaker 2>of a technology company, and so we have you know,

0:16:31.120 --> 0:16:33.160
<v Speaker 2>the left brain right brain. We're able to do that,

0:16:33.720 --> 0:16:35.880
<v Speaker 2>and then we're able to say, okay, now which partners

0:16:36.040 --> 0:16:40.160
<v Speaker 2>are going to be most valuable for our clients. What's

0:16:40.160 --> 0:16:41.680
<v Speaker 2>going to work for you? Isn't going to work for

0:16:41.720 --> 0:16:44.000
<v Speaker 2>the manufacturer down the road, isn't going to work for

0:16:44.040 --> 0:16:49.000
<v Speaker 2>the consumer or CpG company across the river. Those things

0:16:49.040 --> 0:16:52.760
<v Speaker 2>are very specific. The threats and the scenes that I

0:16:52.800 --> 0:16:56.000
<v Speaker 2>was talking about are very specific. So that's where it

0:16:56.040 --> 0:16:59.400
<v Speaker 2>becomes very valuable to make sure that I'm not just

0:16:59.600 --> 0:17:02.400
<v Speaker 2>giving you some strategy that's generic.

0:17:02.400 --> 0:17:07.200
<v Speaker 1>But everything as a healthcare CEO, everything I have done,

0:17:07.640 --> 0:17:11.119
<v Speaker 1>almost everything I've done over the last ten years, hasn't

0:17:11.119 --> 0:17:13.640
<v Speaker 1>it had the effect of increasing my vulnerability. I want

0:17:13.680 --> 0:17:16.440
<v Speaker 1>to digitize data within the hospital used to be on

0:17:16.480 --> 0:17:20.040
<v Speaker 1>pieces of paper. I want doctors to go home and

0:17:20.160 --> 0:17:22.160
<v Speaker 1>to be able to seamlessly hook into stuff at work

0:17:22.160 --> 0:17:24.680
<v Speaker 1>because they got to do all their paperwork. I want

0:17:24.720 --> 0:17:27.399
<v Speaker 1>to make sure the diabetes people are speaking to the

0:17:27.520 --> 0:17:31.199
<v Speaker 1>organ transplant people. And so isn't that everything I have

0:17:31.280 --> 0:17:34.560
<v Speaker 1>done to kind of keep up with the revolution in healthcare?

0:17:34.960 --> 0:17:37.280
<v Speaker 1>Isn't that also making me more and more vulnerable to

0:17:37.840 --> 0:17:38.480
<v Speaker 1>a bad actor.

0:17:38.600 --> 0:17:40.960
<v Speaker 3>It's such a great question because think about the quality

0:17:41.000 --> 0:17:44.399
<v Speaker 3>of healthcare delivery. Right. So now doctors aren't filling out forms,

0:17:44.400 --> 0:17:47.159
<v Speaker 3>they're spending time with patients, and so the quality of

0:17:47.200 --> 0:17:49.800
<v Speaker 3>care is improving and the vulnerability is improving, right, And

0:17:49.800 --> 0:17:53.679
<v Speaker 3>so I think that's where having a strong cybersecurity strategy

0:17:54.320 --> 0:17:56.879
<v Speaker 3>actually enables all of that. One of our products is

0:17:56.920 --> 0:17:59.359
<v Speaker 3>our sas product, and we tested it with some business

0:17:59.400 --> 0:18:02.560
<v Speaker 3>application and oftentimes the wrap is, oh, security is going

0:18:02.600 --> 0:18:04.760
<v Speaker 3>to slow you down, like you have to add a firewall,

0:18:04.760 --> 0:18:08.639
<v Speaker 3>you have to checkpoints. Our product actually increases the velocity

0:18:08.760 --> 0:18:11.199
<v Speaker 3>of your ability to use that application because of the

0:18:11.200 --> 0:18:15.159
<v Speaker 3>way that it is queried through our system as opposed

0:18:15.160 --> 0:18:17.720
<v Speaker 3>to just through the regular network. So it doesn't slow

0:18:17.720 --> 0:18:19.959
<v Speaker 3>it down and in fact, it makes it run more efficiently.

0:18:20.720 --> 0:18:25.919
<v Speaker 3>That's just one minor example. But back to the healthcare question. I,

0:18:26.000 --> 0:18:28.359
<v Speaker 3>as a patient want my doctors accessing all the technology

0:18:28.359 --> 0:18:30.440
<v Speaker 3>and talking to each other and connecting the dots behind

0:18:30.440 --> 0:18:33.040
<v Speaker 3>the scenes. I also want my data to stay private,

0:18:33.560 --> 0:18:38.720
<v Speaker 3>and so having both a consulting partner who understands how

0:18:38.760 --> 0:18:41.159
<v Speaker 3>to ask questions of the environment and of the applications

0:18:41.200 --> 0:18:44.040
<v Speaker 3>you're using, and who understands the industry inside and out

0:18:44.480 --> 0:18:47.280
<v Speaker 3>and a technology partner that builds and stays ahead of

0:18:47.320 --> 0:18:49.959
<v Speaker 3>all of the different threats, come together and advise you.

0:18:50.000 --> 0:18:53.960
<v Speaker 3>I think is super important. When you bring in a

0:18:54.000 --> 0:18:58.040
<v Speaker 3>partner like IBM, with a platform like Palalta that covers

0:18:58.680 --> 0:19:03.240
<v Speaker 3>all the different parts of your environment, you're able to say, look,

0:19:03.320 --> 0:19:06.720
<v Speaker 3>where where are the vulnerabilities in the system, Where are

0:19:06.760 --> 0:19:09.760
<v Speaker 3>the different endpoints that we need to have covered, and

0:19:09.800 --> 0:19:11.760
<v Speaker 3>then just make sure you get that breadth of coverage,

0:19:12.600 --> 0:19:14.919
<v Speaker 3>and then you're better able to so, yes, you've increased

0:19:14.960 --> 0:19:16.520
<v Speaker 3>the risk, but then you've mitigated it.

0:19:17.240 --> 0:19:21.560
<v Speaker 1>So to give so before I retire my healthcare analogy,

0:19:21.960 --> 0:19:25.239
<v Speaker 1>because I was thinking about just trying to understand the

0:19:25.280 --> 0:19:30.080
<v Speaker 1>importance of this idea of having a single platform. So

0:19:30.400 --> 0:19:33.720
<v Speaker 1>if this muddle healthcare network is typical, I've acquired a

0:19:33.720 --> 0:19:36.200
<v Speaker 1>whole series of over the last ten years. I bought

0:19:36.200 --> 0:19:39.040
<v Speaker 1>a hospital over here, some I got some physicians, things

0:19:39.040 --> 0:19:42.160
<v Speaker 1>that I snapped up over here about a diagnostics company,

0:19:42.640 --> 0:19:46.000
<v Speaker 1>and so I have all of these legacy systems, and

0:19:46.040 --> 0:19:48.200
<v Speaker 1>I had, like you said, maybe I got some stuff

0:19:48.240 --> 0:19:50.399
<v Speaker 1>in the cloud with one company, some stuff with the cloud.

0:19:50.640 --> 0:19:53.320
<v Speaker 1>And what you're saying is the first step is to

0:19:53.400 --> 0:19:57.240
<v Speaker 1>kind of rationalize that put it on a single platform,

0:19:57.280 --> 0:20:00.520
<v Speaker 1>so you understand where your points of weakness are as

0:20:00.520 --> 0:20:02.480
<v Speaker 1>opposed to being blind to your points of weakness.

0:20:04.280 --> 0:20:09.240
<v Speaker 3>There's yes, although anyone who's done any kind of M

0:20:09.240 --> 0:20:11.840
<v Speaker 3>and A knows that that's a long journey, right. So

0:20:11.920 --> 0:20:15.560
<v Speaker 3>I think the first step is just understanding where everything is.

0:20:16.200 --> 0:20:17.399
<v Speaker 3>And then you get on a path and you say,

0:20:17.400 --> 0:20:20.240
<v Speaker 3>where's the biggest risk. Let's let's neutralize or mitigate that

0:20:20.359 --> 0:20:23.880
<v Speaker 3>risk one at a time. The thing about open end secure,

0:20:24.640 --> 0:20:27.199
<v Speaker 3>you know Palo Alto. We keep touting the benefits of

0:20:27.200 --> 0:20:29.879
<v Speaker 3>the platform. Everything on Palo Alto, your risk is going

0:20:29.920 --> 0:20:31.879
<v Speaker 3>to be mitigated and you're going to have the full visibility.

0:20:32.560 --> 0:20:35.960
<v Speaker 3>But you can't get there overnight. And so we've got

0:20:36.160 --> 0:20:39.480
<v Speaker 3>you know, thousands of integrations with other technology companies, including

0:20:39.480 --> 0:20:42.119
<v Speaker 3>our partners, to make sure that we can capture and

0:20:42.320 --> 0:20:46.520
<v Speaker 3>have visibility into those those endpoints in those systems as well.

0:20:46.720 --> 0:20:48.840
<v Speaker 3>And so I think step one is just figure out

0:20:48.840 --> 0:20:51.040
<v Speaker 3>where everything is. Just get the scan. So Polta has

0:20:51.080 --> 0:20:52.919
<v Speaker 3>a couple of products where you can kind of deploy

0:20:52.960 --> 0:20:55.720
<v Speaker 3>and get a view of your attack surface. I love

0:20:55.760 --> 0:20:58.920
<v Speaker 3>the analogy. Just like a digital environment is a house right,

0:20:58.960 --> 0:21:01.000
<v Speaker 3>and so like you have your front lock, of course,

0:21:01.200 --> 0:21:03.119
<v Speaker 3>because probably they're going to try the front door first.

0:21:03.880 --> 0:21:05.400
<v Speaker 3>But that's not all you're going to do, right, You're

0:21:05.400 --> 0:21:07.000
<v Speaker 3>going to make sure the whole you know, the windows

0:21:07.040 --> 0:21:09.160
<v Speaker 3>are locked and there's an alarm system and all of that.

0:21:10.520 --> 0:21:12.560
<v Speaker 3>And I think that's how you have to think about it,

0:21:12.680 --> 0:21:14.520
<v Speaker 3>is just how do we cover the whole service?

0:21:15.119 --> 0:21:18.520
<v Speaker 1>So everyone laid, people like me have been bombarded over

0:21:18.640 --> 0:21:22.040
<v Speaker 1>it seems like over the last year with one thing

0:21:22.080 --> 0:21:25.320
<v Speaker 1>another about how quickly AI is moving forward and how

0:21:25.400 --> 0:21:27.040
<v Speaker 1>big of a deal it is suddenly is going to

0:21:27.040 --> 0:21:31.200
<v Speaker 1>be in the economy. What is the impact of that

0:21:32.160 --> 0:21:38.119
<v Speaker 1>dramatic change in AI's capabilities on this cybersecurity question? So

0:21:38.240 --> 0:21:40.600
<v Speaker 1>what does it mean if you're defending somebody that you

0:21:40.720 --> 0:21:43.560
<v Speaker 1>now have these sophisticated AI tools you just suppose.

0:21:44.520 --> 0:21:47.800
<v Speaker 2>I think that AI becomes the force multiplier for cyber

0:21:49.520 --> 0:21:54.240
<v Speaker 2>To think about cyber Before it was just locking your doors,

0:21:54.760 --> 0:21:57.800
<v Speaker 2>locking the windows, and if you were really good, you

0:21:57.840 --> 0:22:03.800
<v Speaker 2>had an alarm system. You know, Now with AI, you

0:22:03.840 --> 0:22:06.879
<v Speaker 2>can say, well, I can predict what's going to happen,

0:22:07.000 --> 0:22:09.040
<v Speaker 2>I can see around the corner. I know, I can

0:22:09.119 --> 0:22:12.399
<v Speaker 2>leave my windows open upstairs and it's fine and it's okay.

0:22:12.640 --> 0:22:15.240
<v Speaker 1>I mean because why because the AI is running a

0:22:15.280 --> 0:22:18.760
<v Speaker 1>million simulations.

0:22:17.040 --> 0:22:21.240
<v Speaker 2>It can And that's exactly it. It becomes the intelligent

0:22:21.400 --> 0:22:25.240
<v Speaker 2>part of that AI. It's not artificial, it's augmented. So

0:22:25.280 --> 0:22:28.200
<v Speaker 2>you now have this new capability to see around corners

0:22:28.880 --> 0:22:32.120
<v Speaker 2>and so you're able to do the jobs of yesterday

0:22:32.160 --> 0:22:38.040
<v Speaker 2>more effectively. And the queries that you were doing and

0:22:38.080 --> 0:22:41.359
<v Speaker 2>that's all you're really doing, now you're doing them, you know, faster,

0:22:41.600 --> 0:22:45.320
<v Speaker 2>You're able to access even more data and you're able

0:22:45.359 --> 0:22:49.920
<v Speaker 2>to then make it more secure. So that's why AI

0:22:50.040 --> 0:22:51.359
<v Speaker 2>becomes a force multiplier.

0:22:51.640 --> 0:22:55.680
<v Speaker 1>Yeah, and just talk about the faster part. What does

0:22:55.880 --> 0:22:59.399
<v Speaker 1>faster mean in practical terms? If you're trying to defend

0:22:59.440 --> 0:23:02.160
<v Speaker 1>an enterprise against a cyber attack, what does speed matter

0:23:02.240 --> 0:23:02.920
<v Speaker 1>in that environment?

0:23:03.920 --> 0:23:07.439
<v Speaker 2>You're always trying to find a place through I go

0:23:07.480 --> 0:23:09.639
<v Speaker 2>back to you. We brought up the army. You always

0:23:09.760 --> 0:23:11.440
<v Speaker 2>how do you break the line? How do you find

0:23:11.480 --> 0:23:14.119
<v Speaker 2>a penetration point? And when you think about you know,

0:23:14.600 --> 0:23:18.560
<v Speaker 2>pin testing, penetration testing, where are those? So if you're

0:23:18.560 --> 0:23:21.359
<v Speaker 2>able to do that faster than the bad guys, and

0:23:21.400 --> 0:23:25.000
<v Speaker 2>not only faster, but you're picking more probable points. This

0:23:25.160 --> 0:23:28.080
<v Speaker 2>is back to the intelligence. I could waste time doing

0:23:28.240 --> 0:23:31.320
<v Speaker 2>penetration testing someplace where. That's why I mentioned leave. If

0:23:31.320 --> 0:23:34.160
<v Speaker 2>they can't get in the second story windows, why are

0:23:34.160 --> 0:23:37.480
<v Speaker 2>you spending time trying it? So that becomes more effective.

0:23:38.280 --> 0:23:41.040
<v Speaker 2>So that's when I think of speed. That's what I

0:23:41.080 --> 0:23:43.560
<v Speaker 2>think of because with not just speed, I think it's

0:23:43.560 --> 0:23:45.120
<v Speaker 2>also what's effective.

0:23:45.040 --> 0:23:46.639
<v Speaker 3>Just to put a put a fine point on it.

0:23:46.800 --> 0:23:48.840
<v Speaker 3>So I found a way in. Okay, Now what I

0:23:48.840 --> 0:23:50.480
<v Speaker 3>don't know where the jewelry is, so I have to

0:23:50.520 --> 0:23:53.439
<v Speaker 3>look around and see if there's any hidden gems and

0:23:53.440 --> 0:23:55.600
<v Speaker 3>try to find my way. That used to take a week,

0:23:55.640 --> 0:23:58.360
<v Speaker 3>two weeks or of seven to fourteen days. Now it's

0:23:58.520 --> 0:24:01.400
<v Speaker 3>hours right so there in and they can actually expltrate

0:24:01.480 --> 0:24:05.320
<v Speaker 3>data within less than a day. The metric we use

0:24:05.320 --> 0:24:08.080
<v Speaker 3>in the security operation center is meantime to detect, so

0:24:08.119 --> 0:24:11.119
<v Speaker 3>to see anyone's there, meantime to respond and remediate to

0:24:11.119 --> 0:24:14.639
<v Speaker 3>get them out. Right. That used to be also you know,

0:24:15.000 --> 0:24:18.679
<v Speaker 3>seven eight, nine, ten days. Now it needs to be

0:24:19.080 --> 0:24:22.720
<v Speaker 3>less than an hour. And with our AI based security

0:24:22.760 --> 0:24:26.119
<v Speaker 3>operations platform, it is. Now you've got one tool that

0:24:26.359 --> 0:24:29.200
<v Speaker 3>whether it's all Peloton networks or whether it's just you know,

0:24:29.280 --> 0:24:31.840
<v Speaker 3>hoofringing data from other places. Then you're able to see

0:24:31.840 --> 0:24:33.840
<v Speaker 3>it all together, so you actually get fewer alerts. So

0:24:33.840 --> 0:24:38.040
<v Speaker 3>you get from thousands of alerts down to one hundred alerts, right,

0:24:38.080 --> 0:24:40.120
<v Speaker 3>and you can investigate them, and you investigate them using

0:24:40.160 --> 0:24:43.960
<v Speaker 3>AI too. And AI is today it's today's threat, but

0:24:44.000 --> 0:24:46.240
<v Speaker 3>it's you know, you think about threat and opportunity to

0:24:46.280 --> 0:24:48.240
<v Speaker 3>think about what's next. You always have to be kind

0:24:48.280 --> 0:24:49.720
<v Speaker 3>of evolving and you have to think.

0:24:50.119 --> 0:24:52.160
<v Speaker 2>We talk about threat and risk, and you know, we

0:24:52.359 --> 0:24:55.760
<v Speaker 2>didn't tell you know, what is the cost of cyber

0:24:56.320 --> 0:25:00.159
<v Speaker 2>some type of penetration. It's typical cost is for four

0:25:00.200 --> 0:25:04.800
<v Speaker 2>and a half million dollars and that's just in labor

0:25:05.119 --> 0:25:09.800
<v Speaker 2>and remediation. If you think about reputational risk as well,

0:25:10.240 --> 0:25:12.640
<v Speaker 2>our Institute for Business Value to the study and found

0:25:12.640 --> 0:25:15.680
<v Speaker 2>it in twenty twenty three and they were thirty nine

0:25:15.720 --> 0:25:21.800
<v Speaker 2>banks that we watched that suffered a reputational risk market

0:25:21.880 --> 0:25:24.760
<v Speaker 2>value of one hundred and thirty billion dollars. And so

0:25:24.800 --> 0:25:29.600
<v Speaker 2>you start to think, wow, that's just reputational risk. So

0:25:29.640 --> 0:25:32.600
<v Speaker 2>that's what's at stake here, and it's only that is

0:25:32.640 --> 0:25:33.760
<v Speaker 2>only going to get bigger.

0:25:34.560 --> 0:25:37.080
<v Speaker 3>So one of the piece we haven't talked about about

0:25:37.119 --> 0:25:39.520
<v Speaker 3>AI that I find super interesting because we've been talking

0:25:39.640 --> 0:25:43.320
<v Speaker 3>essentially about like the terminator, the robots fighting robots, right,

0:25:43.400 --> 0:25:46.080
<v Speaker 3>Like whose robots are quicker? Like I'm designing a tax

0:25:46.119 --> 0:25:48.320
<v Speaker 3>and I'm defending against tax and I think that's that's

0:25:48.359 --> 0:25:52.520
<v Speaker 3>super important. But we recently launch and our working at

0:25:52.560 --> 0:25:55.359
<v Speaker 3>IBM on our AI security product to actually secure the

0:25:55.440 --> 0:25:57.560
<v Speaker 3>use of AILA because it also opens up another set

0:25:57.600 --> 0:26:01.520
<v Speaker 3>of threat factors. I'll give you an exampimple. I'm a

0:26:01.560 --> 0:26:04.280
<v Speaker 3>marketing executive now for your hospital. So I work for you,

0:26:04.960 --> 0:26:08.639
<v Speaker 3>and you want to announce the launch of a new center,

0:26:09.160 --> 0:26:11.600
<v Speaker 3>and so I upload all the information about all the

0:26:11.640 --> 0:26:13.840
<v Speaker 3>patients and our you know how we do things into

0:26:13.880 --> 0:26:15.840
<v Speaker 3>chat GPT to write the PR for me. Well, I've

0:26:15.880 --> 0:26:19.000
<v Speaker 3>also just uploaded to chat GPT a whole bunch of secrets, right.

0:26:19.560 --> 0:26:23.000
<v Speaker 3>So it's it's how employees are using AI, because I think,

0:26:23.040 --> 0:26:25.199
<v Speaker 3>you know, some companies are sort of building their own

0:26:25.240 --> 0:26:27.440
<v Speaker 3>language models and their own AI applications that they want

0:26:27.440 --> 0:26:30.320
<v Speaker 3>to keep secure. Others are just curious about how their

0:26:30.320 --> 0:26:33.800
<v Speaker 3>employees are using AI applications on the shelf. And so

0:26:33.880 --> 0:26:36.199
<v Speaker 3>we announced in May a product where you can actually

0:26:36.960 --> 0:26:39.640
<v Speaker 3>scan and see how AI is being used in your

0:26:39.880 --> 0:26:42.919
<v Speaker 3>enterprise and within We made the announcement with the GA

0:26:42.960 --> 0:26:44.680
<v Speaker 3>was last month, but we made the announcement in May,

0:26:44.720 --> 0:26:47.800
<v Speaker 3>and we had immediately thousands of CIOs signing up because

0:26:47.840 --> 0:26:51.200
<v Speaker 3>just understanding you know who's using what it's another open

0:26:51.280 --> 0:26:54.840
<v Speaker 3>question because you know, we talk about AI enhancing productivity

0:26:54.880 --> 0:26:56.399
<v Speaker 3>and all the benefits it's going to bring, but it

0:26:56.440 --> 0:26:59.200
<v Speaker 3>brings it brings risks, not just in how it's being

0:26:59.280 --> 0:27:02.000
<v Speaker 3>used by the threat actors, but also you know what

0:27:02.119 --> 0:27:03.199
<v Speaker 3>other vulnerabilities that.

0:27:03.160 --> 0:27:07.160
<v Speaker 1>Excuse is the eye that you does that system tell

0:27:07.240 --> 0:27:08.720
<v Speaker 1>you what's a problematic use?

0:27:09.480 --> 0:27:11.879
<v Speaker 3>It does, so what what it does, and you've got

0:27:11.920 --> 0:27:13.640
<v Speaker 3>to train it right. But what it does is say

0:27:13.680 --> 0:27:16.720
<v Speaker 3>this is this is outside of your policy. So CIOs

0:27:16.720 --> 0:27:19.240
<v Speaker 3>will set policies on here's what is acceptable and not

0:27:19.280 --> 0:27:21.160
<v Speaker 3>acceptable use. So we'll be able to scan and say

0:27:21.200 --> 0:27:23.880
<v Speaker 3>these these falling uses are outside of policy, and then

0:27:23.920 --> 0:27:25.920
<v Speaker 3>it'll punt and say I think this is too restrictive,

0:27:25.920 --> 0:27:27.520
<v Speaker 3>I think this is too permissive, and then you can

0:27:27.560 --> 0:27:31.200
<v Speaker 3>sort of update your policies from there. That's just sort

0:27:31.200 --> 0:27:33.680
<v Speaker 3>of the visibility piece, and then there's the run time piece,

0:27:33.720 --> 0:27:35.639
<v Speaker 3>which will actually stop you from using it. So you

0:27:35.680 --> 0:27:38.359
<v Speaker 3>go and say, Okay, here's all my patient's social security numbers.

0:27:38.359 --> 0:27:40.960
<v Speaker 3>I'm going to upload them to chat GPT to you know,

0:27:41.560 --> 0:27:43.840
<v Speaker 3>get an understanding of like where they all live. I

0:27:43.840 --> 0:27:46.040
<v Speaker 3>don't know what why you would possibly do that, but

0:27:46.119 --> 0:27:48.440
<v Speaker 3>let's say you were, and then you know, it'll note

0:27:48.520 --> 0:27:50.359
<v Speaker 3>that looks like a social security number. You can't upload

0:27:50.400 --> 0:27:51.639
<v Speaker 3>that into your prompt, so it.

0:27:51.640 --> 0:27:57.360
<v Speaker 1>Will stop before you Yeah, thoughtful voice over your shoulder,

0:27:57.960 --> 0:28:00.920
<v Speaker 1>just to remind you not to do something silly exactly.

0:28:01.280 --> 0:28:03.800
<v Speaker 1>But this is just talk a little bit more about

0:28:04.000 --> 0:28:07.840
<v Speaker 1>adding AI into this mix. You say it's a force multiplier.

0:28:07.920 --> 0:28:11.760
<v Speaker 1>It's a really interesting dig into that. What other instances

0:28:11.800 --> 0:28:12.960
<v Speaker 1>of what that means?

0:28:13.359 --> 0:28:13.520
<v Speaker 3>Well?

0:28:13.520 --> 0:28:20.040
<v Speaker 1>How does the balance between AI and human expertise work

0:28:20.280 --> 0:28:22.480
<v Speaker 1>in the kind of next generation of cybersecurity?

0:28:23.320 --> 0:28:27.520
<v Speaker 2>I think the common way to look at as it

0:28:27.760 --> 0:28:31.280
<v Speaker 2>back to the force multipliers, It's not going to be

0:28:31.480 --> 0:28:33.720
<v Speaker 2>is your AI better? But can you use it better?

0:28:34.119 --> 0:28:37.840
<v Speaker 2>Can you ask your AI the right questions? Are you

0:28:37.880 --> 0:28:41.360
<v Speaker 2>well trained? So the competition really becomes your use of AI?

0:28:42.160 --> 0:28:45.520
<v Speaker 2>And are you pointed it in the right direction? You

0:28:45.560 --> 0:28:48.600
<v Speaker 2>have fifty people can they do the work of two

0:28:48.720 --> 0:28:51.680
<v Speaker 2>hundred and fifty and can they do it in a

0:28:51.720 --> 0:28:54.800
<v Speaker 2>safe and secure manner, So you're not opening up more

0:28:54.880 --> 0:28:58.160
<v Speaker 2>risk based on or too much risk is your risk

0:28:58.200 --> 0:29:01.000
<v Speaker 2>tolerance in order to get the outcome. So that's why

0:29:01.120 --> 0:29:04.200
<v Speaker 2>I think there's the opportunity. And so you see this

0:29:04.800 --> 0:29:07.480
<v Speaker 2>truly as a force multiplier because the first thing people go, oh,

0:29:07.520 --> 0:29:10.360
<v Speaker 2>you're going to get rid of people, Oh, the people

0:29:10.440 --> 0:29:14.400
<v Speaker 2>portion is still still going to be just as important

0:29:14.400 --> 0:29:16.240
<v Speaker 2>because they're doing that other piece of work.

0:29:16.320 --> 0:29:18.480
<v Speaker 3>One of my favorite statistics is that there are now

0:29:18.600 --> 0:29:20.720
<v Speaker 3>more bank tellers in the US than there were in

0:29:20.800 --> 0:29:23.960
<v Speaker 3>nineteen sixty before the ATM was invented. Right, So, but

0:29:23.960 --> 0:29:25.640
<v Speaker 3>it used to be you would go to your bank

0:29:26.160 --> 0:29:28.480
<v Speaker 3>because you had to. I remember doing this. You go,

0:29:28.600 --> 0:29:30.400
<v Speaker 3>you fill out your deposit slip, you hand it to

0:29:30.440 --> 0:29:33.000
<v Speaker 3>the teller, and they give you your cash. And then

0:29:33.040 --> 0:29:34.840
<v Speaker 3>ATMs are invented, and it's like, oh, no, what's going

0:29:34.880 --> 0:29:36.880
<v Speaker 3>to happen all these jobs and now there's more, Right,

0:29:36.760 --> 0:29:40.480
<v Speaker 3>but you're not withdrawing money from a bank teller. You're

0:29:40.480 --> 0:29:43.920
<v Speaker 3>now doing more sophisticated transactions. And so I think it's

0:29:43.920 --> 0:29:46.520
<v Speaker 3>similar with AI, right, Like you want people doing things

0:29:46.520 --> 0:29:47.440
<v Speaker 3>that only people can do.

0:29:47.920 --> 0:29:50.720
<v Speaker 1>The human element remains absolutely central in all of this.

0:29:52.280 --> 0:29:56.880
<v Speaker 1>How do you make sure that your cybersecurity folks are

0:29:57.080 --> 0:29:59.920
<v Speaker 1>equipped to handle high value tasks, are ready for the

0:30:00.040 --> 0:30:01.400
<v Speaker 1>this increasing responsibility.

0:30:02.600 --> 0:30:04.480
<v Speaker 3>There's a couple of ways to answer this, but I

0:30:04.520 --> 0:30:08.960
<v Speaker 3>think the more you're able to automate the routine and

0:30:09.000 --> 0:30:13.880
<v Speaker 3>the mundane tasks. For example, the bulk of cybersecurity happens

0:30:13.920 --> 0:30:16.840
<v Speaker 3>in the security operations center. There's analysts who are sitting

0:30:16.840 --> 0:30:19.960
<v Speaker 3>in that center. If they're spending all day either configuring

0:30:21.000 --> 0:30:23.640
<v Speaker 3>alerts or responding to alerts, they're not able to do

0:30:23.680 --> 0:30:26.440
<v Speaker 3>the advanced sort of threat hunting and analysis work. And

0:30:26.440 --> 0:30:28.160
<v Speaker 3>so I think a big chunk of it is just

0:30:28.200 --> 0:30:30.920
<v Speaker 3>freeing up their time to be able to do the

0:30:30.920 --> 0:30:33.880
<v Speaker 3>more advanced strategic work. And a lot of the automation

0:30:33.960 --> 0:30:37.920
<v Speaker 3>tools based on AI, like our cortex XIM product, is

0:30:38.640 --> 0:30:40.800
<v Speaker 3>it's designed to free up their time in order to

0:30:40.840 --> 0:30:41.240
<v Speaker 3>be able.

0:30:41.120 --> 0:30:44.880
<v Speaker 2>To do that. And from our perspective, is making sure

0:30:45.200 --> 0:30:48.240
<v Speaker 2>that it's a requirement to make sure that you have

0:30:48.480 --> 0:30:51.440
<v Speaker 2>the qualifications because people can easily get used to doing

0:30:51.440 --> 0:30:54.640
<v Speaker 2>what they've always done. I know this, and that's what

0:30:54.680 --> 0:30:58.360
<v Speaker 2>I do you say, Well, now, all the threat actors

0:30:58.640 --> 0:31:01.560
<v Speaker 2>are learning on the fly. They're trying to always outsmart you.

0:31:01.680 --> 0:31:04.800
<v Speaker 2>So it's in your best interest, our best interest, our

0:31:04.840 --> 0:31:07.880
<v Speaker 2>client's best and partners best that you are on the

0:31:07.880 --> 0:31:11.120
<v Speaker 2>front leaning edge of that learning capability.

0:31:11.520 --> 0:31:13.479
<v Speaker 1>If you're talking to a client he wants to develop

0:31:13.560 --> 0:31:18.960
<v Speaker 1>a kind of unified cybersecurity strategy, what's the best single

0:31:19.000 --> 0:31:22.720
<v Speaker 1>piece of advice you can give them?

0:31:22.760 --> 0:31:26.840
<v Speaker 3>You should have a single platform. It's hard not to

0:31:26.920 --> 0:31:29.480
<v Speaker 3>answer that, but it is true. I mean all joking

0:31:29.520 --> 0:31:33.200
<v Speaker 3>aside having you know the best of breed solutions that

0:31:33.240 --> 0:31:35.160
<v Speaker 3>are all talking to each other and able to stitch

0:31:35.200 --> 0:31:38.479
<v Speaker 3>together and identify threats before human might be able to.

0:31:39.400 --> 0:31:41.800
<v Speaker 3>That's number one, and number two is making sure you

0:31:41.840 --> 0:31:45.400
<v Speaker 3>have visibility on all elements so you're able to cover

0:31:45.440 --> 0:31:48.080
<v Speaker 3>your whole environment and understand how people are accessing it.

0:31:48.320 --> 0:31:52.360
<v Speaker 2>I'd say, think like a bad actor. Yeah, always think

0:31:52.400 --> 0:31:55.680
<v Speaker 2>outside in because you get comfortable the other way around.

0:31:57.400 --> 0:32:00.760
<v Speaker 1>You guys work together with a Push and five company,

0:32:01.520 --> 0:32:03.280
<v Speaker 1>and I'd love for you to talk a little bit

0:32:03.320 --> 0:32:05.240
<v Speaker 1>about use that as a kind of case study for

0:32:05.680 --> 0:32:10.160
<v Speaker 1>what this collaboration between the two your two companies looks

0:32:10.280 --> 0:32:12.320
<v Speaker 1>like when you work with a cloud.

0:32:12.480 --> 0:32:15.440
<v Speaker 3>It really was you know, IBM leading on a digital

0:32:15.480 --> 0:32:18.800
<v Speaker 3>transformation for this client that wanted to move their applications

0:32:18.800 --> 0:32:20.800
<v Speaker 3>into the cloud. And so you're asking a lot of

0:32:20.840 --> 0:32:23.560
<v Speaker 3>questions about how does AI increase the risk and the

0:32:23.560 --> 0:32:25.960
<v Speaker 3>surface area. Those same questions ten years ago were asked

0:32:25.960 --> 0:32:28.320
<v Speaker 3>about the cloud, and we're still on the journey where

0:32:28.440 --> 0:32:31.479
<v Speaker 3>where companies are migrating into the cloud. We're not anywhere

0:32:31.520 --> 0:32:33.720
<v Speaker 3>near finished that yet. And so there's two pieces to

0:32:33.720 --> 0:32:35.920
<v Speaker 3>a cloud migration. One is just refactoring for the cloud

0:32:35.920 --> 0:32:38.240
<v Speaker 3>to make sure the application works effectively in the cloud.

0:32:38.560 --> 0:32:40.480
<v Speaker 3>And the second is security. And then you built in

0:32:40.520 --> 0:32:44.080
<v Speaker 3>security by design using poll does prison of cloud products

0:32:44.120 --> 0:32:46.040
<v Speaker 3>to make sure that not only did you have the

0:32:46.160 --> 0:32:48.720
<v Speaker 3>visibility so our cloud product you can scan and see

0:32:48.720 --> 0:32:51.640
<v Speaker 3>where the vulnerabilities are. And then there's also you know

0:32:51.720 --> 0:32:56.120
<v Speaker 3>cloud firewalls essentially that will keep bad actors out and

0:32:56.320 --> 0:32:58.080
<v Speaker 3>keep the cloud instance secure.

0:32:59.120 --> 0:33:01.680
<v Speaker 1>If we sit down, I don't have this conversation five

0:33:01.760 --> 0:33:04.560
<v Speaker 1>years from now, which I actually hope we do. Be fun.

0:33:07.000 --> 0:33:10.320
<v Speaker 1>This pretend is twenty twenty nine. Tell me what are

0:33:10.320 --> 0:33:11.880
<v Speaker 1>you happy about in twenty twenty nine.

0:33:12.160 --> 0:33:17.760
<v Speaker 2>I think twenty twenty nine, quantum computing is mainstream. I

0:33:17.800 --> 0:33:23.560
<v Speaker 2>think quantum computing is now quantum safe, where we're using

0:33:24.360 --> 0:33:29.160
<v Speaker 2>quantum computing to make sure that those bad actors aren't

0:33:29.200 --> 0:33:31.480
<v Speaker 2>as bad as they used to be back in twenty

0:33:31.520 --> 0:33:35.880
<v Speaker 2>twenty four, and we're seeing around the corners and that

0:33:35.920 --> 0:33:41.200
<v Speaker 2>we're empowering our palo alto relationship. That in twenty twenty

0:33:41.280 --> 0:33:45.880
<v Speaker 2>nine is the premiere type of capability that people are

0:33:45.880 --> 0:33:48.880
<v Speaker 2>looking at when they think of what used to be

0:33:48.960 --> 0:33:51.760
<v Speaker 2>AI and now is quantum capability.

0:33:51.960 --> 0:33:52.240
<v Speaker 1>Yeah.

0:33:53.000 --> 0:33:56.920
<v Speaker 3>Yeah, I think for AI, everyone's just using it as

0:33:56.960 --> 0:34:00.000
<v Speaker 3>part of their job. The way email was an innovation

0:34:00.080 --> 0:34:02.400
<v Speaker 3>in the nineties, the way you know cloud was an

0:34:02.440 --> 0:34:05.280
<v Speaker 3>innovation in the twenty tens, and we thought, how are

0:34:05.320 --> 0:34:06.880
<v Speaker 3>we going to use this? What impact is it going

0:34:06.960 --> 0:34:09.520
<v Speaker 3>to have on productivity? All these people who are spending

0:34:09.520 --> 0:34:11.600
<v Speaker 3>their days typing up memos, like what are they going

0:34:11.640 --> 0:34:14.160
<v Speaker 3>to do? We're going to be past that fear and

0:34:14.200 --> 0:34:17.080
<v Speaker 3>we're all going to understand that it is this like

0:34:17.280 --> 0:34:20.960
<v Speaker 3>truly positive force multiplier. For you know, every employee is

0:34:21.000 --> 0:34:25.000
<v Speaker 3>able to do their best work and spend their time

0:34:25.040 --> 0:34:26.920
<v Speaker 3>on the things that only they can do, and then

0:34:26.960 --> 0:34:29.160
<v Speaker 3>the AI is doing the rest of that for them.

0:34:29.000 --> 0:34:33.640
<v Speaker 2>Right, AI, it's fun to enable many things to work together,

0:34:33.760 --> 0:34:37.040
<v Speaker 2>and it won't be just one language model. We won't

0:34:37.080 --> 0:34:40.480
<v Speaker 2>even think about. It will be the difference between you know,

0:34:41.400 --> 0:34:45.840
<v Speaker 2>Malcolm having a fax machine, stereo and a telephone and

0:34:46.280 --> 0:34:49.120
<v Speaker 2>a memo board. Now it's in your pocket and it's

0:34:49.160 --> 0:34:51.360
<v Speaker 2>all one thing and you don't even call that, you know.

0:34:51.400 --> 0:34:53.120
<v Speaker 2>I said, walk them into my kids the other day

0:34:53.160 --> 0:34:56.799
<v Speaker 2>and they're like, what's a walk man? So I do

0:34:56.840 --> 0:34:58.799
<v Speaker 2>think it will. It'll be part of the past, and

0:34:58.800 --> 0:35:02.440
<v Speaker 2>it will be the stock of the seamless connection. That is,

0:35:02.840 --> 0:35:09.160
<v Speaker 2>secure seamless connection, of HR, of finance, of distribution, logistics,

0:35:09.160 --> 0:35:12.799
<v Speaker 2>of billing, all of those will have a capability to

0:35:12.840 --> 0:35:13.840
<v Speaker 2>work together.

0:35:14.200 --> 0:35:14.399
<v Speaker 3>Yeah.

0:35:15.560 --> 0:35:18.200
<v Speaker 1>I have to do some social quick fire questions you

0:35:18.200 --> 0:35:21.920
<v Speaker 1>guys ready, all right? What's the number one thing that

0:35:21.960 --> 0:35:23.479
<v Speaker 1>people misunderstand about AI?

0:35:24.920 --> 0:35:28.120
<v Speaker 2>The reliance on data? What do you mean by that?

0:35:28.960 --> 0:35:31.480
<v Speaker 2>I think that it's just assumed that it's happening and

0:35:31.680 --> 0:35:34.160
<v Speaker 2>it can just go out and grab data anywhere.

0:35:35.160 --> 0:35:36.799
<v Speaker 1>Yeah, you have.

0:35:36.760 --> 0:35:39.919
<v Speaker 2>To have good data, reliable data, and access to the data.

0:35:40.680 --> 0:35:42.480
<v Speaker 3>I think people are too afraid of it.

0:35:42.880 --> 0:35:45.960
<v Speaker 1>Checkbox and image generators are the biggest things in consumer

0:35:46.000 --> 0:35:47.920
<v Speaker 1>AI right now? What do you think is that next

0:35:47.920 --> 0:35:50.160
<v Speaker 1>big business application, Jason.

0:35:50.239 --> 0:35:53.480
<v Speaker 2>I think it's the tying together of multiple capabilities. I'm

0:35:53.560 --> 0:35:56.760
<v Speaker 2>hinting towards this earlier is. I think tying together the

0:35:56.960 --> 0:35:59.600
<v Speaker 2>disparate systems that sit in different parts of the organization,

0:35:59.640 --> 0:36:02.000
<v Speaker 2>front all this back office, making it one office and

0:36:02.080 --> 0:36:04.040
<v Speaker 2>tying together those different functions. That's it.

0:36:05.120 --> 0:36:07.560
<v Speaker 3>I mean, it's workflow automation. I think back to your

0:36:07.560 --> 0:36:10.759
<v Speaker 3>point on the reliance on data seems easy. It's a

0:36:10.760 --> 0:36:12.239
<v Speaker 3>lot harder than you think because you have to have

0:36:12.239 --> 0:36:14.240
<v Speaker 3>everything set up and exactly the right way to get

0:36:14.440 --> 0:36:17.120
<v Speaker 3>all of your systems automated and the sort of the

0:36:17.160 --> 0:36:19.319
<v Speaker 3>more boring jobs taken care of so that humans could

0:36:19.320 --> 0:36:20.360
<v Speaker 3>do the strategic ones.

0:36:22.040 --> 0:36:24.520
<v Speaker 1>How are you already using AI in your day to

0:36:24.600 --> 0:36:25.080
<v Speaker 1>day life?

0:36:27.280 --> 0:36:30.200
<v Speaker 3>I mean I use it at work all the time,

0:36:30.840 --> 0:36:32.839
<v Speaker 3>and then I've found right now I go to chat

0:36:32.880 --> 0:36:36.000
<v Speaker 3>GPT instead of Google to look things up. I like

0:36:36.040 --> 0:36:36.880
<v Speaker 3>having a conversation.

0:36:38.320 --> 0:36:42.400
<v Speaker 2>We have a wonderful capability in our consulting business called

0:36:43.000 --> 0:36:47.200
<v Speaker 2>our consulting assistant and consulting advantage is the proper name

0:36:47.200 --> 0:36:49.240
<v Speaker 2>for it. But I look at it as that assistant

0:36:49.360 --> 0:36:51.840
<v Speaker 2>and it's a force multiplier for me. So if I

0:36:52.000 --> 0:36:56.840
<v Speaker 2>need to pull together content proposals with the teams, we

0:36:56.920 --> 0:36:57.600
<v Speaker 2>go straight to that.

0:36:58.440 --> 0:37:00.880
<v Speaker 1>We are one more we Here's so many definitions of

0:37:01.000 --> 0:37:04.279
<v Speaker 1>open related to technology. How do you define it and

0:37:04.320 --> 0:37:06.440
<v Speaker 1>how does the concept help you innovate?

0:37:07.600 --> 0:37:11.040
<v Speaker 3>By definition? In cybersecurity, you don't want to be too open, right,

0:37:11.520 --> 0:37:15.480
<v Speaker 3>So I think we enable openness with this concept of

0:37:15.560 --> 0:37:17.839
<v Speaker 3>zero trust and saying like everyone's invited in as long

0:37:17.880 --> 0:37:20.600
<v Speaker 3>as you have the right credentials, right. So that's that's

0:37:20.640 --> 0:37:22.479
<v Speaker 3>one way, and then the other way is just making

0:37:22.520 --> 0:37:25.960
<v Speaker 3>sure you're connected to all the different systems in order

0:37:26.040 --> 0:37:28.320
<v Speaker 3>to be able to have that visibility and see what's happening,

0:37:28.360 --> 0:37:32.160
<v Speaker 3>because if you are blind, that's the minute you have

0:37:32.200 --> 0:37:33.240
<v Speaker 3>that vulnerability.

0:37:33.880 --> 0:37:39.600
<v Speaker 2>And I'd say it's moving quickly with security, it sounds

0:37:39.600 --> 0:37:42.879
<v Speaker 2>contradictory open. Oh, then it means you're not safe. No,

0:37:43.000 --> 0:37:44.440
<v Speaker 2>you are safe and you can move faster.

0:37:44.719 --> 0:37:46.399
<v Speaker 1>Yeah, thank you so much. It's fun.

0:37:46.560 --> 0:37:48.160
<v Speaker 3>Thanks a lot, Thank you great. We'll see you in

0:37:48.200 --> 0:37:48.680
<v Speaker 3>five years.

0:37:49.600 --> 0:37:55.680
<v Speaker 1>Five years, man, I'll be old in five years. Thank

0:37:55.719 --> 0:37:59.160
<v Speaker 1>you to Jason Kelly at IBM and Christy Frederick's at

0:37:59.239 --> 0:38:03.920
<v Speaker 1>POLO Alto Networks for that fascinating conversation about the threats

0:38:03.920 --> 0:38:09.760
<v Speaker 1>and opportunities in cybersecurity today. As Jason and Christie stressed,

0:38:10.120 --> 0:38:14.600
<v Speaker 1>AI can be a force multiplier for enterprise across industries.

0:38:15.600 --> 0:38:18.040
<v Speaker 1>When you're working with multiple products and have your data

0:38:18.080 --> 0:38:22.400
<v Speaker 1>in distributed environments, you need technology that will work across

0:38:22.440 --> 0:38:27.040
<v Speaker 1>your organization, and with Palo Alto Networks platform, you can

0:38:27.160 --> 0:38:33.080
<v Speaker 1>enhance cyber resiliency and simplify your operations. Through their collaboration,

0:38:33.440 --> 0:38:37.000
<v Speaker 1>IBM and Palo Alto Networks are charting the future a

0:38:37.120 --> 0:38:44.360
<v Speaker 1>fully integrated open end to end security solutions. Smart Talks

0:38:44.360 --> 0:38:48.080
<v Speaker 1>with IBM is produced by Matt Romano, Joey Fishground, Amy

0:38:48.120 --> 0:38:53.240
<v Speaker 1>Gaines McQuaid, and Jacob Goldstein. We're edited by Lydia Jane Kott.

0:38:53.440 --> 0:38:57.279
<v Speaker 1>Our engineers are Sarah Bugaier and Ben Tolliday. Theme song

0:38:57.320 --> 0:39:01.080
<v Speaker 1>by Gramoscope Special thanks to the eight Bar and IBM teams,

0:39:01.480 --> 0:39:04.799
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0:39:04.840 --> 0:39:08.080
<v Speaker 1>IBM is a production of Pushkin Industries and Ruby Studio

0:39:08.200 --> 0:39:12.239
<v Speaker 1>at iHeartMedia. To find more Pushkin podcasts, listen on the

0:39:12.280 --> 0:39:16.719
<v Speaker 1>iHeartRadio app, Apple Podcasts, or wherever you listen to podcasts.

0:39:17.560 --> 0:39:22.560
<v Speaker 1>I'm Malcolm Glaphom. This is a paid advertisement from IBM.

0:39:22.800 --> 0:39:29.080
<v Speaker 1>The conversations on this podcast don't necessarily represent IBM's positions, strategies,

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