WEBVTT - Smart Talks with IBM: How AI Can Accelerate Cybersecurity

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<v Speaker 1>Hey everyone, it's Robert and Joe here. Today we've got

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<v Speaker 1>something a little different to share with you. It's a

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<v Speaker 1>new season of the Smart Talks with IBM podcast series.

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<v Speaker 2>This season, on smart Talks, Malcolm Gladwell and team are

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<v Speaker 2>diving into the transformative world of artificial intelligence with a

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<v Speaker 2>fresh perspective on the concept of open What does open

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<v Speaker 2>really mean in the context of AI. It can mean

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<v Speaker 2>open source code or open data, but it also encompasses

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<v Speaker 2>fostering an ecosystem of ideas, ensuring diverse perspectives are heard,

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<v Speaker 2>and enabling new levels of transparency.

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<v Speaker 1>Join hosts from your favorite pushkin podcasts as they explore

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<v Speaker 1>how openness in AI is reshaping industries, driving innovation, and

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<v Speaker 1>redefining what's possible. You'll hear from industry experts and leaders

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<v Speaker 1>about the implication and possibilities of open AI, and of course,

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<v Speaker 1>Malcolm Gladwell will be there to guide you through the

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<v Speaker 1>season with his unique insights.

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<v Speaker 2>Look out for new episodes of Smart Talks every other

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<v Speaker 2>week on the iHeartRadio app, Apple Podcasts, or wherever you

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<v Speaker 2>get your podcast and learn more at IBM dot com

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<v Speaker 2>slash smart Talks.

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<v Speaker 3>Hello, Hello, Welcome to smart Talks with IBM, a podcast

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<v Speaker 3>from Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glappwell. This season,

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<v Speaker 3>we're diving back into the world of artificial intelligence, but

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<v Speaker 3>with a focus on the powerful concept of open its possibilities, implications,

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<v Speaker 3>and misconceptions. We'll look at openness from a variety of

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<v Speaker 3>angles and explore how the concept is already reshaping industries,

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<v Speaker 3>ways of doing business and our very notion of what's possible.

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<v Speaker 3>On today's episode, I'm joined by Jason Kelly, the global

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<v Speaker 3>Managing Partner for IBM Strategic Partners and Ecosystems, and by

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<v Speaker 3>Christy Fredericks, the Senior Vice President and Chief Partnership Officer

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<v Speaker 3>at Palo Alto Networks. We discussed how their partnership in

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<v Speaker 3>the cybersecurity space helps strengthen enterprises by focusing on seamless

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<v Speaker 3>cybersecurity solutions tailored to meet the evolving threat landscape. By

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<v Speaker 3>leveraging AI and automation, this collaboration aims to modernize security programs,

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<v Speaker 3>improve response times, and produce risks. Jason and Christie both

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<v Speaker 3>bring a tremendous amount of experience and expertise to the subject.

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<v Speaker 3>I think you're really going to enjoy this one. Jason Christy,

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<v Speaker 3>Welcome to Smart Talks with IBM. Thank you for joining me.

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<v Speaker 4>Thank you, it's great to be here.

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<v Speaker 3>We are here to discuss cybersecurity and the partnership between

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<v Speaker 3>IBM and Polo Alter Networks. But before we get there,

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<v Speaker 3>I wanted you guys to tell me a little bit

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<v Speaker 3>about yourself. Jason's start with you. I see on your

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<v Speaker 3>resume west Point, which makes we think there's some interesting

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<v Speaker 3>things going on there. How did you get to west Point?

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<v Speaker 4>West Point? West Point was the decision. First, it was

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<v Speaker 4>it was affordable back in the day. But I had

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<v Speaker 4>a sense of service. My father was a World War

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<v Speaker 4>Two vet, so I grew up on the weekends watching

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<v Speaker 4>World War two video. You know he's army as well. Yeah,

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<v Speaker 4>and so I thought, oh, that'd be exciting, and I

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<v Speaker 4>thought I do some type of service. Went there and

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<v Speaker 4>now I have the biggest family, extended family I could

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<v Speaker 4>ever have. So it was very exciting. Played football lucked out,

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<v Speaker 4>meaning I wasn't recruited. I walked on and that kept

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<v Speaker 4>me there because it gave me something and out left

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<v Speaker 4>with all the other pressures that a defensive back I was.

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<v Speaker 4>I was great at knocking the ball down, not the

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<v Speaker 4>best at catching it.

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<v Speaker 3>Yeah, and then you were a ranger.

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<v Speaker 4>I was. I was privileged to be a US Army

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<v Speaker 4>airborne ranger station, but did most of my time in

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<v Speaker 4>northern Italy. Were part of the It's eighty second.

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<v Speaker 3>Air barnship post.

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<v Speaker 4>Oh yeah, that's what people say, seriously, like, you know,

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<v Speaker 4>you were you were nor You're drinking wine and having

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<v Speaker 4>bred you know. But it was a part of a

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<v Speaker 4>NATO force there at the time. Yeah, so exciting.

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<v Speaker 3>How did you get from there to IBM?

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<v Speaker 4>A long path. As I came out of the military,

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<v Speaker 4>I started manufacturing retail housing and did a quick stint,

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<v Speaker 4>took a leave of absence from industry, and did a

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<v Speaker 4>stint of yet again public service in the state of

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<v Speaker 4>Tennessee with economic development, and got a whiff of how

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<v Speaker 4>fun it could be to do things around data and media.

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<v Speaker 4>Started a small media firm what we would now call

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<v Speaker 4>a digital firm, sold it and said I wanted to

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<v Speaker 4>go do it again somewhere, but I wanted to go

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<v Speaker 4>to a big company. And the family at IBM brought

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<v Speaker 4>me in and yet to let me go.

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<v Speaker 3>That was how many years ago?

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<v Speaker 4>Two decades?

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<v Speaker 3>Oh wow?

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<v Speaker 4>Yeah, so, I know I look amazingly young on but yes,

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<v Speaker 4>IBM was my fifth career and and and I've enjoyed

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<v Speaker 4>a since. And that's what I what I do. They

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<v Speaker 4>build teams, grow new parts of the company and get

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<v Speaker 4>to work with some of the most brilliant people on

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<v Speaker 4>the face of the planet, as well as partners like

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<v Speaker 4>like Christy that just keep it exciting.

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<v Speaker 3>Christy, you're I was delighted to learn that you are Canadian.

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<v Speaker 3>Yes here, Yeah, but you so you were a consultant

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<v Speaker 3>for a long time at Bane.

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<v Speaker 5>Yes. Yeah. I joined Bain Consulting intending to spend a

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<v Speaker 5>couple of years there learn the ropes and then go

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<v Speaker 5>get my first real job. But the value personally to

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<v Speaker 5>my growth and development, and then that we were able

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<v Speaker 5>to bring our clients. I ended up there for sixteen years,

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<v Speaker 5>and then post Bain went on to another my first

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<v Speaker 5>product company, a new relic, and then it's come full

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<v Speaker 5>circle at Polluta Networks. But at Bain it was all

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<v Speaker 5>about bringing expertise across different industries to help our clients

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<v Speaker 5>improve whatever they needed to improve and bringing that expertise

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<v Speaker 5>to bear. And then you have the product lens and

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<v Speaker 5>you think Okay, we're going to build the absolute best

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<v Speaker 5>product to help our customers do what they need to

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<v Speaker 5>get done. And then I joined pal Alto about six

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<v Speaker 5>seven months ago in a partnerships role and I'm delighted

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<v Speaker 5>to be able to work with amazing consulting companies like

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<v Speaker 5>IBM where we bring both to bear.

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<v Speaker 3>How long have IBM and Polo Alto Network's been partners?

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<v Speaker 4>So we've been We've been working together for quite quite

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<v Speaker 4>a long time. But we made it official, meaning we

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<v Speaker 4>got married as strategic partners last year.

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<v Speaker 3>Oh I see. So what is it that each of

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<v Speaker 3>you bring to the table? What's each side special?

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<v Speaker 4>So it's great that you asked that because about a

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<v Speaker 4>decade ago, are now CEO Arvin Christ says, you know,

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<v Speaker 4>it wouldn't be great if we just had this one

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<v Speaker 4>focus with this what does IBM do? And you have

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<v Speaker 4>this whole list, and he says, let's make it simple.

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<v Speaker 4>We are a multi cloud, hybrid cloud AI company. And

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<v Speaker 4>so when you say that, it sounds very simple, but

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<v Speaker 4>then people, what the hell is that? What your hybrid cloud? Well,

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<v Speaker 4>both of those two things have a lot of data involved,

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<v Speaker 4>and a lot of those mean that that data is

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<v Speaker 4>going to sit in multiple places and distributed environments. Well,

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<v Speaker 4>if you're able to tie those things together with multiple partners,

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<v Speaker 4>you also have to make sure that it's secure because

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<v Speaker 4>in the direction that we're going, where data is now

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<v Speaker 4>being consumed in many different places and it is the

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<v Speaker 4>fuel behind AI as we know, then you say, ah, well,

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<v Speaker 4>who does that well and who does it in a

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<v Speaker 4>way that's getting rid of seams, the seams that could

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<v Speaker 4>be across multiple products, multiple product SATs even And that's

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<v Speaker 4>where Powell comes in.

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<v Speaker 5>I think the conventional wisdom and cybersecurity was always you

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<v Speaker 5>need all the new tools, right, you need it every threat.

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<v Speaker 5>It's like, whack them all. Every threat that pops up,

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<v Speaker 5>you get the tool that's purpose built for that specific thing. Well,

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<v Speaker 5>fast forward to the RSA conference this year. There were

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<v Speaker 5>four thousand vendors on the floor. You look at an

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<v Speaker 5>average company, there's hundreds of cybersecurity tools. It introduces a

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<v Speaker 5>level of complexity that is really hard to manage you

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<v Speaker 5>as a user, query and application, right, that query can

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<v Speaker 5>go through a bunch of different pings from one cloud

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<v Speaker 5>to the next, It goes into and out of assaas application,

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<v Speaker 5>it maybe running along a network. You may be accessing

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<v Speaker 5>it from your phone, which is an unmanaged device. It's

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<v Speaker 5>got to go in and out. And if you say, okay,

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<v Speaker 5>I've got to secure that phone, I've got to secure

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<v Speaker 5>the network. I've got it, then all of a sudden,

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<v Speaker 5>you've got sort of firewalls, software and hardwelfowles popping up everywhere.

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<v Speaker 5>You've got cloud security, and it's you've probably heard of

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<v Speaker 5>this concept of zero trust, which is every time you

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<v Speaker 5>have to check and say are you allowed in here?

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<v Speaker 5>Are you allowed in here? The number of places that

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<v Speaker 5>can fall down it just becomes overwhelming. So you end

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<v Speaker 5>up with either alerts firing every two seconds that you

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<v Speaker 5>have to then go investigate in most of which are

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<v Speaker 5>false positives or you miss something right. And so that

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<v Speaker 5>was the conventionalism was we've got to buy all these tools,

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<v Speaker 5>and now you've got overwhelmed CIOs and CSOs with hundreds

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<v Speaker 5>of tools, and Palo Alto strategy has been, look, we're

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<v Speaker 5>going to create a platform where everything can be stitched together,

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<v Speaker 5>everything can speak the same language, and we can sort

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<v Speaker 5>of manage throughout the architecture and watch this call as

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<v Speaker 5>as it's passing through all these different checkpoints, and we

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<v Speaker 5>can do it in a way that you still have

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<v Speaker 5>the confidence that it's best to breed right, so you're

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<v Speaker 5>not making any trade offs. But it's not so simple

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<v Speaker 5>just to get from the spaghetti to the seamless architecture.

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<v Speaker 5>You need, oftentimes to re engineer your business processes. You

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<v Speaker 5>have to re architect your digital environment. And so that's

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<v Speaker 5>where we partner with a company like IBM to bring

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<v Speaker 5>that expertise and say we're going to help you not

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<v Speaker 5>just deploy the best cybersecurity architecture, but really get your

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<v Speaker 5>environment ready to have this ar as.

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<v Speaker 4>Well as all of those players that cross that spaghetti.

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<v Speaker 4>Because when you start thinking about all the other partners

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<v Speaker 4>that you work with, if you're you think of an

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<v Speaker 4>industry perspective, you're gonna have an e ERP. It could

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<v Speaker 4>be an Oracle, it could be an SAP. You're not

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<v Speaker 4>going to have one cloud, as I mentioned, it's gonna

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<v Speaker 4>be possibly multiple clouds. You'll have some aws maybe Microsoft

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<v Speaker 4>Azure and then even even some Google in there, and

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<v Speaker 4>then your own that you've built in your private over there, uh,

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<v Speaker 4>some an IBM cloud. You'll have those multiple clouds, and

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<v Speaker 4>then you also will have you know, fit for purpose Oh, well,

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<v Speaker 4>I need a I need a salesforce in there for

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<v Speaker 4>my customer focusing. I need I'm doing some graphics, so

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<v Speaker 4>I have Adobe. So I just as I can name

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<v Speaker 4>name name, all of those then have to be re engineered. Seriously.

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<v Speaker 4>I mean, come on, Malcolm, You're gonna sit there. You

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<v Speaker 4>think how long that would take. So if you haven't

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<v Speaker 4>done that before, you're gonna have to go to each

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<v Speaker 4>one of those individually, or you can work with a

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<v Speaker 4>company that can tie those things together, because we are

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<v Speaker 4>also strategic partners with them. So that's where you start

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<v Speaker 4>to say, Okay, I see how this comes together. You

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<v Speaker 4>have to make sure that your ecosystem is going to

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<v Speaker 4>be stronger than your competitor's ecosystem, and you have to

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<v Speaker 4>be secure in what you're doing because as you add

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<v Speaker 4>more players or products, you create seams, and you want

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<v Speaker 4>to make sure there's fewer seams and that there's zero

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<v Speaker 4>trust across that capability you're building. And that's why the

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<v Speaker 4>compliment between the two companies.

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<v Speaker 3>Well, take a step back from a moment before we

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<v Speaker 3>sort of launch, once get into the specifics of what

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<v Speaker 3>you guys are doing. I'm curious at this moment in

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<v Speaker 3>twenty twenty four. How nervous should we be about cybersecurity?

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<v Speaker 3>So compared it to five years ago or ten years ago,

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<v Speaker 3>are we are you less nervous than you were five

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<v Speaker 3>years ago or more nervous or all of changes going

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<v Speaker 3>on right now increasing vulnerability or decreasing it?

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<v Speaker 4>I would say Christie, also, I think we share the

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<v Speaker 4>point of view is that it's not necessarily being more nervous.

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<v Speaker 4>I think you should be more prepared because the amounts

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<v Speaker 4>of threat is increasing based on our dependence upon data.

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<v Speaker 4>And that's that's where I think the attention should be placed.

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<v Speaker 4>Is that more and more, especially with the importance of AI,

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<v Speaker 4>that you say, okay, then what's under all that? And

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<v Speaker 4>it's the data? As I said, So knowing that you

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<v Speaker 4>should be more concerned.

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<v Speaker 3>Does the advent of AI and its rapid evolution help

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<v Speaker 3>defense more or offense more?

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<v Speaker 5>I think it's I think it's like any mega trend

0:12:47.760 --> 0:12:51.760
<v Speaker 5>that we've witnessed both. Right, So you think about AI,

0:12:51.920 --> 0:12:55.800
<v Speaker 5>it's it's ninety nine percent great, right in terms of

0:12:55.840 --> 0:12:58.840
<v Speaker 5>what it's going to unlock for productivity, for humanity, But

0:12:59.000 --> 0:13:01.080
<v Speaker 5>it also makes it a whole lot easier to build

0:13:01.160 --> 0:13:04.160
<v Speaker 5>ransomware it's a whole lot easier to test different ways

0:13:04.640 --> 0:13:07.240
<v Speaker 5>into a system, right. But I think that's true if

0:13:07.280 --> 0:13:09.080
<v Speaker 5>you think about like the rise of the Internet, right,

0:13:09.080 --> 0:13:11.800
<v Speaker 5>all of a sudden, everyone was putting their data online

0:13:12.559 --> 0:13:14.800
<v Speaker 5>and you had to think of new ways to stay

0:13:14.840 --> 0:13:16.640
<v Speaker 5>ahead and keep that secure. And I don't think AI

0:13:16.720 --> 0:13:20.240
<v Speaker 5>is any different. You've got companies like Palta, partnerships like

0:13:20.240 --> 0:13:25.600
<v Speaker 5>Powell and IBM that are constantly scanning the landscape for

0:13:25.640 --> 0:13:28.000
<v Speaker 5>not only the current threats, but what's next, what's coming

0:13:28.040 --> 0:13:30.640
<v Speaker 5>around the corner, what's after AI? And so I think

0:13:30.880 --> 0:13:33.200
<v Speaker 5>taking it seriously and being prepared is probably the right

0:13:33.280 --> 0:13:35.800
<v Speaker 5>way of looking at it as opposed to because if

0:13:35.800 --> 0:13:38.280
<v Speaker 5>you think about it too hard, you'll just want to

0:13:38.320 --> 0:13:42.520
<v Speaker 5>crawl into a corner and stuff everything under the mattress.

0:13:42.880 --> 0:13:50.080
<v Speaker 3>I am the CEO of a regional hospital chain, big

0:13:50.280 --> 0:13:55.319
<v Speaker 3>distribute healthcare system, so a ton of data. The consequences

0:13:55.320 --> 0:13:58.079
<v Speaker 3>of being hacked and help for ransom.

0:13:57.720 --> 0:13:59.240
<v Speaker 2>Are life and death.

0:13:59.400 --> 0:14:03.000
<v Speaker 3>Life and death, right, little when you come So you

0:14:03.440 --> 0:14:05.360
<v Speaker 3>come down, you sit down with me, and you chat

0:14:05.400 --> 0:14:08.880
<v Speaker 3>with me, walk me through the kinds of things you

0:14:08.880 --> 0:14:11.480
<v Speaker 3>would tell me about what I need to get safer.

0:14:11.800 --> 0:14:15.000
<v Speaker 3>For example, let's start with one. Is it likely that

0:14:15.040 --> 0:14:16.920
<v Speaker 3>I'm spending too little or am I spending money in

0:14:16.960 --> 0:14:17.640
<v Speaker 3>the wrong place?

0:14:18.520 --> 0:14:22.600
<v Speaker 5>Great question, It depends how you've broken it out. If

0:14:22.640 --> 0:14:25.760
<v Speaker 5>you are distributing all of your dollars across a whole

0:14:25.760 --> 0:14:28.360
<v Speaker 5>bunch of different tools, it's likely you're just spending the

0:14:28.360 --> 0:14:30.640
<v Speaker 5>wrong money. And in fact, you know, putting it all

0:14:30.640 --> 0:14:33.440
<v Speaker 5>in one place is a way of potentially saving money

0:14:33.760 --> 0:14:37.640
<v Speaker 5>but keeping your security actually higher. And I'd love to

0:14:37.640 --> 0:14:39.480
<v Speaker 5>hear Jason, how you would approach it. How we would

0:14:39.480 --> 0:14:41.680
<v Speaker 5>approach it, of course, is by saying, you know, what,

0:14:41.680 --> 0:14:44.800
<v Speaker 5>what does your environment look like? You know, do you

0:14:44.840 --> 0:14:49.320
<v Speaker 5>have the connected medical devices into your EMR? Are your

0:14:49.440 --> 0:14:52.960
<v Speaker 5>respirators and ventilators all online? Right? And so we would

0:14:52.960 --> 0:14:55.800
<v Speaker 5>talk about, okay, here's how you get coverage, and how

0:14:55.840 --> 0:14:58.360
<v Speaker 5>the coverage of both the firewalls as well as the

0:14:58.440 --> 0:15:01.720
<v Speaker 5>detectors all feed back into your security operations center and

0:15:01.760 --> 0:15:04.480
<v Speaker 5>you can manage it and do your learning with AI

0:15:05.520 --> 0:15:06.560
<v Speaker 5>and keep yourself secure.

0:15:06.560 --> 0:15:08.680
<v Speaker 4>And so yeah, and I would say Christy and I

0:15:08.720 --> 0:15:11.080
<v Speaker 4>would go to the same point because if you get

0:15:11.160 --> 0:15:14.480
<v Speaker 4>under what she was just asking, it is your data

0:15:15.080 --> 0:15:19.360
<v Speaker 4>on prem and when it's on prem how active is

0:15:19.400 --> 0:15:23.600
<v Speaker 4>it across the enterprise? And so that begins the basis

0:15:23.600 --> 0:15:25.640
<v Speaker 4>for the start. And then often you're going to say, well,

0:15:25.680 --> 0:15:28.840
<v Speaker 4>we actually take in data from outside and then we

0:15:28.880 --> 0:15:32.400
<v Speaker 4>also have the circumstances. There's a lot of PII and

0:15:32.440 --> 0:15:37.680
<v Speaker 4>so that personal is the personal information, right, Yeah, And

0:15:37.760 --> 0:15:41.000
<v Speaker 4>so now you're saying, okay, now how are we securing

0:15:41.080 --> 0:15:43.920
<v Speaker 4>that and where are we securing it? And so you

0:15:43.960 --> 0:15:47.800
<v Speaker 4>have to start really thinking about the different areas within

0:15:48.120 --> 0:15:52.200
<v Speaker 4>that hospital chain. Are you sharing that amongst your hospitals?

0:15:52.760 --> 0:15:55.880
<v Speaker 4>And now you start to think of if I'm saying

0:15:55.960 --> 0:15:57.400
<v Speaker 4>no to a lot of that, it's like, well, then

0:15:57.440 --> 0:16:00.120
<v Speaker 4>are you as efficient as you want to be? So

0:16:00.160 --> 0:16:03.640
<v Speaker 4>there is that trade off of you know, am I

0:16:03.680 --> 0:16:07.240
<v Speaker 4>so tightly walled that I'm not productive? And so that's

0:16:07.280 --> 0:16:10.400
<v Speaker 4>where we would start to say what's the outcome that

0:16:10.400 --> 0:16:12.560
<v Speaker 4>you're trying to get to? All Right, maybe you're good,

0:16:12.600 --> 0:16:14.960
<v Speaker 4>Maybe you're you're good with your five locations and you

0:16:14.960 --> 0:16:17.480
<v Speaker 4>don't need to go any further, but maybe you want

0:16:17.520 --> 0:16:19.520
<v Speaker 4>to expand to fifty and by the way, you're going

0:16:19.600 --> 0:16:21.680
<v Speaker 4>to go crossporder, you're going to be in Toronto and

0:16:21.800 --> 0:16:25.080
<v Speaker 4>in New York. Okay, Well, then how do you do that?

0:16:25.960 --> 0:16:28.640
<v Speaker 4>And so I think that it's very easy to start

0:16:28.720 --> 0:16:34.160
<v Speaker 4>jumping into any of the typical situations. But the first

0:16:34.280 --> 0:16:38.560
<v Speaker 4>question that you have to ask you, as the hospital CEOs,

0:16:39.040 --> 0:16:42.360
<v Speaker 4>what's your objective? Are? What are you trying to do?

0:16:42.400 --> 0:16:45.960
<v Speaker 4>Because too often what we see is that there's some bright, new,

0:16:45.960 --> 0:16:49.840
<v Speaker 4>shiny thing that everybody wants to put in play. You know,

0:16:49.880 --> 0:16:53.280
<v Speaker 4>it's a sandwich looking for lunch and you go, but

0:16:53.360 --> 0:16:54.960
<v Speaker 4>what is it that you want to do as this?

0:16:55.560 --> 0:16:58.120
<v Speaker 4>Are you doing research? Are your research hospital? Are you

0:16:58.200 --> 0:17:01.400
<v Speaker 4>more consumer wriented? So those are the questions you start

0:17:01.440 --> 0:17:03.880
<v Speaker 4>to ask because they start to then tell a story

0:17:04.400 --> 0:17:07.640
<v Speaker 4>in line with what Christy questions. And I think that

0:17:07.640 --> 0:17:11.080
<v Speaker 4>that's where the again the compliment is that instead of

0:17:11.160 --> 0:17:14.000
<v Speaker 4>just saying, oh, well, that's thanks for telling me all this, Malcolm,

0:17:14.040 --> 0:17:18.680
<v Speaker 4>here's your ten page strategy. Now go find somebody. We

0:17:18.760 --> 0:17:22.080
<v Speaker 4>have the benefit in IBM, and it's probably why I'm

0:17:22.080 --> 0:17:24.440
<v Speaker 4>still there is you know, we're very unique. We're the

0:17:24.480 --> 0:17:28.640
<v Speaker 4>only company on the planet that has a consulting business

0:17:28.920 --> 0:17:32.920
<v Speaker 4>at scale inside of a technology company, and so we have,

0:17:33.760 --> 0:17:36.000
<v Speaker 4>you know, the left brain, right brain, We're able to

0:17:36.040 --> 0:17:38.240
<v Speaker 4>do that. And then we're able to say, okay, now

0:17:38.240 --> 0:17:42.640
<v Speaker 4>which partners are going to be most valuable for our clients.

0:17:43.080 --> 0:17:44.680
<v Speaker 4>What's going to work for you? Isn't going to work

0:17:44.720 --> 0:17:47.040
<v Speaker 4>for the manufacturer down the road, isn't going to work

0:17:47.040 --> 0:17:51.879
<v Speaker 4>for the consumer or CpG company across the river. Those

0:17:51.920 --> 0:17:55.720
<v Speaker 4>things are very specific. The threats and the scenes that

0:17:55.760 --> 0:17:59.040
<v Speaker 4>I was talking about are very specific. So that's where

0:17:59.080 --> 0:18:02.359
<v Speaker 4>it becomes very value to make sure that I'm not

0:18:02.440 --> 0:18:05.480
<v Speaker 4>just giving you some strategy that's generic.

0:18:05.560 --> 0:18:10.280
<v Speaker 3>But everything. As a healthcare CEO, everything I have done,

0:18:10.800 --> 0:18:14.120
<v Speaker 3>almost everything I've done over the last ten years, has

0:18:14.240 --> 0:18:16.800
<v Speaker 3>it had the effect of increasing my vulnerability. I want

0:18:16.840 --> 0:18:19.600
<v Speaker 3>to digitize data within the hospital used to be on

0:18:19.640 --> 0:18:23.200
<v Speaker 3>pieces of paper. I want doctors to go home and

0:18:23.320 --> 0:18:25.280
<v Speaker 3>to be able to seamlessly hook into stuff at work

0:18:25.320 --> 0:18:27.840
<v Speaker 3>because they got to do all their paperwork. I want

0:18:27.840 --> 0:18:30.520
<v Speaker 3>to make sure the diabetes people are speaking to the

0:18:30.640 --> 0:18:34.240
<v Speaker 3>organ transplant people. And so I'm isn't that everything I

0:18:34.280 --> 0:18:36.920
<v Speaker 3>have done to kind of keep up with the revolution

0:18:37.040 --> 0:18:39.760
<v Speaker 3>in healthcare? Isn't that also making me more and more

0:18:39.840 --> 0:18:41.639
<v Speaker 3>vulnerable to a bad actor.

0:18:41.760 --> 0:18:44.120
<v Speaker 5>It's such a great question because think about the quality

0:18:44.119 --> 0:18:47.560
<v Speaker 5>of healthcare delivery, right, So now doctors aren't filling out forms,

0:18:47.560 --> 0:18:50.320
<v Speaker 5>they're spending time with patients, and so the quality of

0:18:50.320 --> 0:18:52.920
<v Speaker 5>care is improving and the vulnerability is improving, right, And

0:18:52.960 --> 0:18:56.840
<v Speaker 5>so I think that's where having a strong cybersecurity strategy

0:18:57.480 --> 0:18:59.920
<v Speaker 5>actually enables all of that. One of our products is

0:19:00.119 --> 0:19:03.240
<v Speaker 5>our sas product, and we tested it with some business applications,

0:19:03.280 --> 0:19:05.840
<v Speaker 5>and oftentimes the wrap is, oh, security is going to

0:19:05.840 --> 0:19:07.880
<v Speaker 5>slow you down, right, Like you have to add a firewall,

0:19:07.920 --> 0:19:11.720
<v Speaker 5>you have to checkpoints. Our product actually increases the velocity

0:19:11.880 --> 0:19:14.359
<v Speaker 5>of your ability to use that application because of the

0:19:14.359 --> 0:19:18.280
<v Speaker 5>way that it is queried through our system as opposed

0:19:18.320 --> 0:19:20.880
<v Speaker 5>to just through the regular network. So it doesn't slow

0:19:20.880 --> 0:19:23.119
<v Speaker 5>it down and in fact, it makes it run more efficiently.

0:19:23.840 --> 0:19:29.080
<v Speaker 5>That's just one minor example. But back to the healthcare question. I,

0:19:29.119 --> 0:19:31.480
<v Speaker 5>as a patient want my doctors accessing all the technology

0:19:31.520 --> 0:19:33.560
<v Speaker 5>and talking to each other and connecting the dots behind

0:19:33.600 --> 0:19:36.159
<v Speaker 5>the scenes. I also want my data to stay private,

0:19:36.720 --> 0:19:41.880
<v Speaker 5>and so having both a consulting partner who understands how

0:19:41.920 --> 0:19:44.320
<v Speaker 5>to ask questions of the environment and of the applications

0:19:44.320 --> 0:19:47.200
<v Speaker 5>you're using, and who understands the industry inside and out,

0:19:47.640 --> 0:19:50.439
<v Speaker 5>and a technology partner that builds and stays ahead of

0:19:50.480 --> 0:19:53.080
<v Speaker 5>all of the different threats, come together and advise you.

0:19:53.160 --> 0:19:57.119
<v Speaker 5>I think is super important. When you bring in a

0:19:57.160 --> 0:20:01.160
<v Speaker 5>partner like IBM, with a platform like pal Aalta that covers,

0:20:01.560 --> 0:20:05.320
<v Speaker 5>you know, all the different parts of your environment, you're

0:20:05.359 --> 0:20:08.879
<v Speaker 5>able to say, look, where where are the vulnerabilities in

0:20:08.920 --> 0:20:11.960
<v Speaker 5>the system, Where are the different endpoints that we need

0:20:12.000 --> 0:20:13.920
<v Speaker 5>to have covered, and then just make sure you get

0:20:13.920 --> 0:20:17.520
<v Speaker 5>that breadth of coverage, and then you're better able to so, yes,

0:20:17.560 --> 0:20:19.639
<v Speaker 5>you've increased the risk, but then you've mitigated it.

0:20:20.400 --> 0:20:24.720
<v Speaker 3>So to give so before I retire my healthcare analogy,

0:20:25.119 --> 0:20:28.399
<v Speaker 3>because I was thinking about just trying to understand the

0:20:28.440 --> 0:20:33.239
<v Speaker 3>importance of this idea of having a single platform. So

0:20:33.560 --> 0:20:36.840
<v Speaker 3>if this muddle healthcare network is typical, I've acquired a

0:20:36.880 --> 0:20:39.320
<v Speaker 3>whole series of over the last ten years. I bought

0:20:39.359 --> 0:20:42.160
<v Speaker 3>a hospital over here, some I've got some physicians things

0:20:42.160 --> 0:20:45.320
<v Speaker 3>that I snapped up over here. I bought a diagnostics company,

0:20:45.760 --> 0:20:49.159
<v Speaker 3>and so I have all of these legacy systems and

0:20:49.200 --> 0:20:51.359
<v Speaker 3>I had, like you said, maybe I got some stuff

0:20:51.359 --> 0:20:53.560
<v Speaker 3>from the cloud with one company, some stuff with the cloud.

0:20:53.760 --> 0:20:56.480
<v Speaker 3>And what you're saying is the first step is to

0:20:56.560 --> 0:21:00.520
<v Speaker 3>kind of rationalize that put it on a single so

0:21:00.560 --> 0:21:04.040
<v Speaker 3>you understand where your points of weakness are as opposed

0:21:04.040 --> 0:21:05.640
<v Speaker 3>to being blind to your points of weakness.

0:21:07.400 --> 0:21:12.359
<v Speaker 5>There's yes, although anyone who's done any kind of M

0:21:12.400 --> 0:21:15.000
<v Speaker 5>and A knows that that's a long journey, right. So

0:21:15.080 --> 0:21:18.679
<v Speaker 5>I think the first step is just understanding where everything is.

0:21:19.320 --> 0:21:20.560
<v Speaker 5>And then you get on a path and you say,

0:21:20.560 --> 0:21:23.399
<v Speaker 5>where's the biggest risk. Let's let's neutralize or mitigate that

0:21:23.480 --> 0:21:27.040
<v Speaker 5>risk one at a time. The thing about open end secure,

0:21:27.760 --> 0:21:30.320
<v Speaker 5>you know Palo Alto. We keep touting the benefits of

0:21:30.359 --> 0:21:33.040
<v Speaker 5>the platform. Everything on Palo Alto, your risk is going

0:21:33.080 --> 0:21:35.040
<v Speaker 5>to be mitigated and you're going to have the full visibility.

0:21:35.720 --> 0:21:39.119
<v Speaker 5>But you can't get there overnight. And so we've got

0:21:39.320 --> 0:21:42.639
<v Speaker 5>you know, thousands of integrations with other technology companies, including

0:21:42.640 --> 0:21:45.280
<v Speaker 5>our partners, to make sure that we can capture and

0:21:45.480 --> 0:21:49.679
<v Speaker 5>have visibility into those those endpoints in those systems as well.

0:21:49.880 --> 0:21:51.959
<v Speaker 5>And so I think step one is just figure out

0:21:51.960 --> 0:21:54.280
<v Speaker 5>where everything is. Just get the scan, so poltize a

0:21:54.280 --> 0:21:56.199
<v Speaker 5>couple of products where you can kind of deploy and

0:21:56.240 --> 0:21:59.400
<v Speaker 5>get a view of your attack surface. I love the analogy.

0:21:59.520 --> 0:22:02.159
<v Speaker 5>Just like a digital environment is a house, right, and

0:22:02.200 --> 0:22:04.159
<v Speaker 5>so like you have your front door lock, of course,

0:22:04.359 --> 0:22:06.280
<v Speaker 5>because probably they're going to try the front door first.

0:22:07.040 --> 0:22:08.520
<v Speaker 5>But that's not all you're going to do, right, You're

0:22:08.520 --> 0:22:10.159
<v Speaker 5>going to make sure the whole you know, the windows

0:22:10.160 --> 0:22:12.320
<v Speaker 5>are locked and there's an alarm system and all of that.

0:22:13.680 --> 0:22:15.719
<v Speaker 5>And I think that's how you have to think about it,

0:22:15.800 --> 0:22:17.639
<v Speaker 5>is just how do we cover the whole service?

0:22:18.240 --> 0:22:21.640
<v Speaker 3>So everyone laid, people like me have been bombarded over

0:22:21.800 --> 0:22:25.159
<v Speaker 3>it seems like over the last year with one thing

0:22:25.200 --> 0:22:28.480
<v Speaker 3>another about how quickly AI is moving forward and how

0:22:28.560 --> 0:22:30.199
<v Speaker 3>big of a deal it is suddenly is going to

0:22:30.200 --> 0:22:34.360
<v Speaker 3>be in the economy. What is the impact of that

0:22:35.320 --> 0:22:41.240
<v Speaker 3>dramatic change in AI's capabilities on this cybersecurity question? So

0:22:41.359 --> 0:22:43.760
<v Speaker 3>what does it mean if you're defending somebody that you

0:22:43.840 --> 0:22:46.320
<v Speaker 3>now have these sophisticated AI tools you disuppose.

0:22:47.680 --> 0:22:50.960
<v Speaker 4>I think that AI becomes the force multiplier for cyber

0:22:52.680 --> 0:22:57.400
<v Speaker 4>to think about cyber Before it was just locking your doors,

0:22:57.920 --> 0:23:01.120
<v Speaker 4>locking the windows. If you were really good, you had

0:23:01.160 --> 0:23:02.360
<v Speaker 4>an alarm system.

0:23:02.680 --> 0:23:02.879
<v Speaker 5>You know.

0:23:04.720 --> 0:23:09.000
<v Speaker 4>Now with AI, you can say, well, I can predict

0:23:09.080 --> 0:23:11.400
<v Speaker 4>what's going to happen, I can see around the corner.

0:23:11.680 --> 0:23:14.199
<v Speaker 4>I know, I can leave my windows open upstairs and

0:23:14.240 --> 0:23:15.560
<v Speaker 4>it's fine and it's okay.

0:23:15.760 --> 0:23:18.360
<v Speaker 3>I mean because why because the AI is running a

0:23:18.400 --> 0:23:20.280
<v Speaker 3>million simulations it.

0:23:20.640 --> 0:23:25.280
<v Speaker 4>Can and that's exactly it. It becomes the intelligent part of

0:23:25.440 --> 0:23:28.760
<v Speaker 4>that AI. It's not artificial, it's augmented. So you now

0:23:28.760 --> 0:23:32.359
<v Speaker 4>have this new capability to see around corners and so

0:23:32.600 --> 0:23:36.360
<v Speaker 4>you're able to do the jobs of yesterday more effectively.

0:23:37.359 --> 0:23:41.560
<v Speaker 4>And the queries that you were doing and that's all

0:23:41.600 --> 0:23:44.520
<v Speaker 4>you're really doing, now you're doing them, you know, faster,

0:23:44.760 --> 0:23:48.480
<v Speaker 4>you're able to access even more data and you're able

0:23:48.520 --> 0:23:53.080
<v Speaker 4>to then make it more secure. So that's why AI

0:23:53.200 --> 0:23:54.520
<v Speaker 4>becomes a force multiplier.

0:23:54.800 --> 0:23:58.840
<v Speaker 3>Yeah, and just talk about the faster part. What does

0:23:59.040 --> 0:24:02.560
<v Speaker 3>faster mean in practical terms? If you're trying to defend

0:24:02.600 --> 0:24:05.320
<v Speaker 3>an enterprise against a cyber attack, what does speed matter

0:24:05.359 --> 0:24:06.080
<v Speaker 3>in that environment?

0:24:07.080 --> 0:24:10.600
<v Speaker 4>You're always trying to find a place through I go

0:24:10.640 --> 0:24:12.760
<v Speaker 4>back to you. We brought up the army. You always

0:24:12.880 --> 0:24:14.600
<v Speaker 4>how do you break the line? How do you find

0:24:14.600 --> 0:24:17.280
<v Speaker 4>a penetration point? And when you think about you know,

0:24:17.720 --> 0:24:21.679
<v Speaker 4>pin testing, penetration testing, where are those? So if you're

0:24:21.720 --> 0:24:24.520
<v Speaker 4>able to do that faster than the bad guys, and

0:24:24.560 --> 0:24:28.159
<v Speaker 4>not only faster, but you're picking more probable points. This

0:24:28.320 --> 0:24:31.200
<v Speaker 4>is back to the intelligence. I could waste time doing

0:24:31.400 --> 0:24:34.439
<v Speaker 4>penetration testing someplace where. That's why I mentioned leave. If

0:24:34.480 --> 0:24:37.280
<v Speaker 4>they can't get in the second story windows, why are

0:24:37.320 --> 0:24:40.600
<v Speaker 4>you spending time trying it? So that becomes more effective.

0:24:41.400 --> 0:24:44.200
<v Speaker 4>So that's when I think of speed. That's what I

0:24:44.240 --> 0:24:46.720
<v Speaker 4>think of because with not just speed, I think it's

0:24:46.720 --> 0:24:47.800
<v Speaker 4>also what's effective.

0:24:48.200 --> 0:24:50.119
<v Speaker 5>Just to put a fine point on it. So I

0:24:50.160 --> 0:24:52.240
<v Speaker 5>found a way in. Okay, Now what I don't know

0:24:52.280 --> 0:24:54.119
<v Speaker 5>where the jewelry is, so I have to look around

0:24:54.200 --> 0:24:56.800
<v Speaker 5>and see if there's any hidden gems and try to

0:24:56.840 --> 0:24:58.960
<v Speaker 5>find my way. That used to take a week, two

0:24:58.960 --> 0:25:02.680
<v Speaker 5>weeks or seven or fourteen days. Now it's hours, right,

0:25:02.760 --> 0:25:05.160
<v Speaker 5>So they're in and they can actually explatrate data within

0:25:05.480 --> 0:25:08.639
<v Speaker 5>less than a day. The metric we use in the

0:25:08.720 --> 0:25:11.560
<v Speaker 5>security operation center is meantime to detect, so to see

0:25:11.600 --> 0:25:14.600
<v Speaker 5>anyone's there, meantime to respond and remediate to get them

0:25:14.600 --> 0:25:18.840
<v Speaker 5>out right. That used to be also you know, seven eight, nine,

0:25:18.880 --> 0:25:22.960
<v Speaker 5>ten days. Now it needs to be less than an hour,

0:25:23.720 --> 0:25:27.640
<v Speaker 5>and with our AI based security operations platform, it is.

0:25:28.119 --> 0:25:31.000
<v Speaker 5>Now you've got one tool. That's whether it's all peloton

0:25:31.040 --> 0:25:33.360
<v Speaker 5>networks or whether it's just you know, hoofringing data from

0:25:33.359 --> 0:25:35.520
<v Speaker 5>other places, then you're able to see it all together.

0:25:35.560 --> 0:25:37.600
<v Speaker 5>So you actually get fewer alerts. So you get from

0:25:38.000 --> 0:25:41.320
<v Speaker 5>thousands of alerts down to one hundred alerts right, and

0:25:41.359 --> 0:25:43.840
<v Speaker 5>you can investigate them, and you investigate them using AI too.

0:25:44.160 --> 0:25:47.360
<v Speaker 5>And AI is is today. It's today's threat, but it's

0:25:47.440 --> 0:25:49.560
<v Speaker 5>you know, you think about threat and opportunity to think

0:25:49.560 --> 0:25:51.480
<v Speaker 5>about what's next. You always have to be kind of

0:25:51.520 --> 0:25:52.840
<v Speaker 5>evolving and you have to think.

0:25:53.240 --> 0:25:55.760
<v Speaker 4>We talk about threat and risk. You know, we didn't

0:25:55.760 --> 0:25:59.520
<v Speaker 4>tell you know, what is the cost of cyber some

0:25:59.640 --> 0:26:03.359
<v Speaker 4>type of penetration. It's typical costs is about four and

0:26:03.359 --> 0:26:09.159
<v Speaker 4>a half million dollars. And that's just in labor and remediation.

0:26:09.840 --> 0:26:14.040
<v Speaker 4>If you think about reputational risk as well, our Institute

0:26:14.040 --> 0:26:16.199
<v Speaker 4>for Business Value to to study and found it in

0:26:16.320 --> 0:26:19.840
<v Speaker 4>twenty twenty three there were thirty nine banks that we

0:26:19.960 --> 0:26:25.439
<v Speaker 4>watched that suffered a reputational risk market value of one

0:26:25.520 --> 0:26:29.040
<v Speaker 4>hundred and thirty billion dollars. And so you start to think, wow,

0:26:29.119 --> 0:26:34.120
<v Speaker 4>that's just reputational risk. So that's what's at stake here,

0:26:34.640 --> 0:26:36.919
<v Speaker 4>and it's only that is only going to get bigger.

0:26:37.680 --> 0:26:40.240
<v Speaker 5>So one of the piece we haven't talked about about

0:26:40.240 --> 0:26:42.680
<v Speaker 5>AI that I find super interesting because we've been talking

0:26:42.760 --> 0:26:46.520
<v Speaker 5>essentially about like the terminator, the robots fighting robots, right,

0:26:46.520 --> 0:26:49.320
<v Speaker 5>Like whose robots are quicker? Like I'm designing attacks and

0:26:49.359 --> 0:26:51.440
<v Speaker 5>I'm defending against a tax and I think that's that's

0:26:51.480 --> 0:26:55.639
<v Speaker 5>super important. But we recently launch and our working at

0:26:55.680 --> 0:26:58.520
<v Speaker 5>IBM on our AI security product to actually secure the

0:26:58.600 --> 0:27:00.440
<v Speaker 5>use of AI because it also opens up up another

0:27:00.520 --> 0:27:04.600
<v Speaker 5>set of threat factors. I'll give you an example. I'm

0:27:04.600 --> 0:27:07.120
<v Speaker 5>a marketing executive now for your hospital. So I work

0:27:07.200 --> 0:27:10.000
<v Speaker 5>for you, and you want to announce the launch of

0:27:10.040 --> 0:27:14.040
<v Speaker 5>a new center, and so I upload all the information

0:27:14.119 --> 0:27:16.320
<v Speaker 5>about all the patients and our you know how we

0:27:16.359 --> 0:27:18.879
<v Speaker 5>do things into chat GPT to write the PR for me. Well,

0:27:18.880 --> 0:27:21.000
<v Speaker 5>I've also just uploaded to chat GPT a whole bunch

0:27:21.040 --> 0:27:25.600
<v Speaker 5>of secrets, right. So it's it's how employees are using AI,

0:27:25.600 --> 0:27:27.800
<v Speaker 5>because I think, you know, some companies are sort of

0:27:27.800 --> 0:27:30.199
<v Speaker 5>building their own language models and their own AI applications

0:27:30.200 --> 0:27:32.919
<v Speaker 5>that they want to keep secure. Others are just curious

0:27:32.920 --> 0:27:35.679
<v Speaker 5>about how their employees are using AI applications on the shelf,

0:27:36.720 --> 0:27:38.760
<v Speaker 5>and so we announced in May a product where you

0:27:38.800 --> 0:27:42.520
<v Speaker 5>can actually scan and see how AI is being used

0:27:42.520 --> 0:27:45.520
<v Speaker 5>in your enterprise and within We made the announcement with

0:27:45.640 --> 0:27:47.560
<v Speaker 5>the GA was last month, but we made the announcement

0:27:47.560 --> 0:27:50.440
<v Speaker 5>in May, and we had immediately thousands of CIOs signing

0:27:50.520 --> 0:27:53.760
<v Speaker 5>up because just understanding you know who's using what, it's

0:27:53.800 --> 0:27:56.600
<v Speaker 5>another open question because you know, we talk about AI

0:27:57.040 --> 0:27:59.280
<v Speaker 5>enhancing productivity and all the benefits it's going to bring,

0:27:59.320 --> 0:28:02.000
<v Speaker 5>but it brings it brings risks, not just in how

0:28:02.000 --> 0:28:04.480
<v Speaker 5>it's being used by the threat actors, but also you

0:28:04.520 --> 0:28:06.400
<v Speaker 5>know what other vulnerabilities that.

0:28:06.320 --> 0:28:09.920
<v Speaker 3>Exc It is the eye that you does that system

0:28:10.080 --> 0:28:11.840
<v Speaker 3>tell you what's a problematic use.

0:28:12.640 --> 0:28:15.080
<v Speaker 5>It does, so what what it does, and you've got

0:28:15.080 --> 0:28:16.800
<v Speaker 5>to train it right. But what it does is say

0:28:16.840 --> 0:28:19.879
<v Speaker 5>this is this is outside of your policy. So CIOs

0:28:19.880 --> 0:28:22.399
<v Speaker 5>will set policies on here's what is acceptable and not

0:28:22.440 --> 0:28:24.320
<v Speaker 5>acceptable use. So we'll be able to scan and say

0:28:24.320 --> 0:28:27.000
<v Speaker 5>these these falling uses are outside of policy, and then

0:28:27.040 --> 0:28:29.080
<v Speaker 5>it'll punt and say I think this is too restrictive,

0:28:29.080 --> 0:28:30.679
<v Speaker 5>I think this is too permissive, and then you can

0:28:30.680 --> 0:28:34.360
<v Speaker 5>sort of update your policies from there. That's just sort

0:28:34.359 --> 0:28:36.840
<v Speaker 5>of the visibility piece, and then there's the run time piece,

0:28:36.840 --> 0:28:38.800
<v Speaker 5>which will actually stop you from using it. So you

0:28:38.840 --> 0:28:41.480
<v Speaker 5>go and say, Okay, here's all my patients' social security numbers.

0:28:41.520 --> 0:28:44.080
<v Speaker 5>I'm going to upload them to chat GPT to you know,

0:28:44.680 --> 0:28:47.000
<v Speaker 5>get an understanding of like where they all live. I

0:28:47.000 --> 0:28:49.200
<v Speaker 5>don't know what why you would possibly do that, but

0:28:49.240 --> 0:28:51.640
<v Speaker 5>let's say you were, and then you know, it'll note

0:28:51.680 --> 0:28:53.480
<v Speaker 5>that looks like a social security number. You can't upload

0:28:53.560 --> 0:28:54.840
<v Speaker 5>that into your prompt, so it.

0:28:54.800 --> 0:29:00.520
<v Speaker 3>Will stop you before you Yeah, thoughtful voice over you shoulder,

0:29:01.120 --> 0:29:04.040
<v Speaker 3>just to remind you not to do something silly exactly.

0:29:04.400 --> 0:29:06.920
<v Speaker 3>But this is just talk a little bit more about

0:29:07.120 --> 0:29:11.000
<v Speaker 3>adding AI into this mix. You say it's a force multiplier.

0:29:11.080 --> 0:29:15.040
<v Speaker 3>It's really interesting dig into that, what other instances of

0:29:15.040 --> 0:29:19.400
<v Speaker 3>what that means. How does the balance between AI and

0:29:20.640 --> 0:29:25.640
<v Speaker 3>human expertise work in the kind of next generation of cybersecurity.

0:29:26.480 --> 0:29:30.720
<v Speaker 4>I think the common way to look at as it

0:29:30.920 --> 0:29:34.400
<v Speaker 4>back to the force multipliers, It's not going to be

0:29:34.640 --> 0:29:36.880
<v Speaker 4>is your AI better? But can you use it better?

0:29:37.280 --> 0:29:41.000
<v Speaker 4>Can you ask your AI the right questions? Are you

0:29:41.040 --> 0:29:44.520
<v Speaker 4>well trained? So the competition really becomes your use of AI?

0:29:45.320 --> 0:29:48.680
<v Speaker 4>And are you pointed it in the right direction. You

0:29:48.720 --> 0:29:51.800
<v Speaker 4>have fifty people, can they do the work of two

0:29:51.880 --> 0:29:54.800
<v Speaker 4>hundred and fifty and can they do it in a

0:29:54.840 --> 0:29:57.960
<v Speaker 4>safe and secure manner, So you're not opening up more

0:29:58.040 --> 0:30:01.280
<v Speaker 4>risk based on or two much risk is your risk

0:30:01.360 --> 0:30:04.040
<v Speaker 4>tolerance in order to get the outcome. So that's why

0:30:04.240 --> 0:30:07.400
<v Speaker 4>I think there's the opportunity. And so you see this

0:30:07.920 --> 0:30:10.680
<v Speaker 4>truly as a force multiplier because the first thing people go, oh,

0:30:10.680 --> 0:30:13.480
<v Speaker 4>you're going to get rid of people. Oh, the people

0:30:13.560 --> 0:30:17.560
<v Speaker 4>portion is still still going to be just as important

0:30:17.560 --> 0:30:19.400
<v Speaker 4>because they're doing that other piece of work.

0:30:19.480 --> 0:30:21.640
<v Speaker 5>One of my favorite statistics is that there are now

0:30:21.720 --> 0:30:23.840
<v Speaker 5>more bank tellers in the US than there were in

0:30:23.920 --> 0:30:27.080
<v Speaker 5>nineteen sixty before the ATM was invented. Right, So, but

0:30:27.120 --> 0:30:28.800
<v Speaker 5>it used to be you would go to your bank

0:30:29.280 --> 0:30:31.640
<v Speaker 5>because you had to. I remember doing this. You go,

0:30:31.760 --> 0:30:33.560
<v Speaker 5>you fill out your deposit slip, you hand it to

0:30:33.600 --> 0:30:36.120
<v Speaker 5>the teller and they give you your cash. And then

0:30:36.160 --> 0:30:38.000
<v Speaker 5>ATMs are invented, and it's like, oh, no, what's going

0:30:38.040 --> 0:30:40.040
<v Speaker 5>to happen all these jobs and now there's more, Right,

0:30:39.880 --> 0:30:43.600
<v Speaker 5>but you're not withdrawing money from a bank teller. You're

0:30:43.640 --> 0:30:47.080
<v Speaker 5>now doing more sophisticated transactions. And so I think it's

0:30:47.080 --> 0:30:49.640
<v Speaker 5>similar with AI, right, Like you want people doing things

0:30:49.680 --> 0:30:50.600
<v Speaker 5>that only people can do.

0:30:51.080 --> 0:30:53.880
<v Speaker 3>The human element remains absolutely central in all of this.

0:30:55.440 --> 0:30:59.960
<v Speaker 3>How do you make sure that your cybersecurity folks are

0:31:00.040 --> 0:31:03.080
<v Speaker 3>are equipped to handle high value tasks, are ready for

0:31:03.120 --> 0:31:04.520
<v Speaker 3>this increasing responsibility.

0:31:05.720 --> 0:31:07.680
<v Speaker 5>There's a couple of ways to answer this, but I

0:31:07.680 --> 0:31:12.120
<v Speaker 5>think the more you're able to automate the routine and

0:31:12.160 --> 0:31:17.040
<v Speaker 5>the mundane tasks. For example, the bulk of cybersecurity happens

0:31:17.040 --> 0:31:19.960
<v Speaker 5>in the security operations center. There's analysts who are sitting

0:31:20.000 --> 0:31:23.080
<v Speaker 5>in that center. If they're spending all day either configuring

0:31:24.160 --> 0:31:26.760
<v Speaker 5>alerts or responding to alerts, they're not able to do

0:31:26.800 --> 0:31:29.560
<v Speaker 5>the advanced sort of threat hunting and analysis work. And

0:31:29.600 --> 0:31:31.280
<v Speaker 5>so I think a big chunk of it is just

0:31:31.320 --> 0:31:34.080
<v Speaker 5>freeing up their time to be able to do the

0:31:34.080 --> 0:31:37.040
<v Speaker 5>more advanced strategic work. And a lot of the automation

0:31:37.120 --> 0:31:41.080
<v Speaker 5>tools based on AI, like our cortex XIM product, is

0:31:41.760 --> 0:31:44.000
<v Speaker 5>it's designed to free up their time in order to

0:31:44.000 --> 0:31:44.640
<v Speaker 5>be able to do that.

0:31:45.280 --> 0:31:48.640
<v Speaker 4>And from our perspective, it is making sure that it's

0:31:48.640 --> 0:31:52.600
<v Speaker 4>a requirement to make sure that you have the qualifications

0:31:52.600 --> 0:31:54.920
<v Speaker 4>because people can easily get used to doing what they've

0:31:54.960 --> 0:31:58.160
<v Speaker 4>always done. I know this, and that's what I do.

0:31:58.480 --> 0:32:02.600
<v Speaker 4>You say, Well, now, all the threat actors are learning

0:32:02.680 --> 0:32:05.640
<v Speaker 4>on fly. They're trying to always outsmart you. So it's

0:32:05.680 --> 0:32:08.560
<v Speaker 4>in your best interest, our best interest, our client's best

0:32:08.760 --> 0:32:12.360
<v Speaker 4>and partners best that you are on the front leaning

0:32:12.480 --> 0:32:14.280
<v Speaker 4>edge of that learning capability.

0:32:14.680 --> 0:32:16.640
<v Speaker 3>If you're talking to a client he wants to develop

0:32:16.720 --> 0:32:22.120
<v Speaker 3>a kind of unified cybersecurity strategy, what's the best single

0:32:22.160 --> 0:32:25.880
<v Speaker 3>piece of advice you can give them?

0:32:25.920 --> 0:32:30.040
<v Speaker 5>You should have a single platform. It's hard not to

0:32:30.040 --> 0:32:32.640
<v Speaker 5>answer that, but it is true. I mean all joking

0:32:32.640 --> 0:32:36.360
<v Speaker 5>aside having you know the best of breed solutions that

0:32:36.360 --> 0:32:38.320
<v Speaker 5>are all talking to each other and able to stitch

0:32:38.320 --> 0:32:41.600
<v Speaker 5>together and identify threats before human might be able to.

0:32:42.520 --> 0:32:44.960
<v Speaker 5>That's number one, and number two is making sure you

0:32:44.960 --> 0:32:48.560
<v Speaker 5>have visibility on all elements so you're able to cover

0:32:48.600 --> 0:32:51.239
<v Speaker 5>your whole environment and understand how people are accessing it.

0:32:51.480 --> 0:32:55.520
<v Speaker 4>I'd say, think like a bad actor. Yeah, always think

0:32:55.560 --> 0:32:58.880
<v Speaker 4>outside in because you get comfortable the other way around.

0:33:00.560 --> 0:33:04.800
<v Speaker 3>You guys work together with a push Environ company, and

0:33:05.080 --> 0:33:06.680
<v Speaker 3>I'd love for you to talk a little bit about

0:33:06.880 --> 0:33:08.960
<v Speaker 3>use that as a kind of case study for what

0:33:09.040 --> 0:33:13.520
<v Speaker 3>this collaboration between the two your two companies looks like.

0:33:13.880 --> 0:33:15.480
<v Speaker 3>When you work with a cloud.

0:33:15.640 --> 0:33:18.600
<v Speaker 5>It really was, you know, IBM leading on a digital

0:33:18.600 --> 0:33:21.960
<v Speaker 5>transformation for this client that wanted to move their applications

0:33:21.960 --> 0:33:23.920
<v Speaker 5>into the cloud. And so you're asking a lot of

0:33:24.000 --> 0:33:26.680
<v Speaker 5>questions about how does AI increase the risk and the

0:33:26.720 --> 0:33:29.080
<v Speaker 5>surface area. Those same questions ten years ago were asked

0:33:29.120 --> 0:33:31.480
<v Speaker 5>about the cloud, and we're still on the journey where

0:33:32.120 --> 0:33:34.800
<v Speaker 5>companies are migrating to the cloud. We're not anywhere near

0:33:34.880 --> 0:33:36.960
<v Speaker 5>finished that yet. And so there's two pieces to a

0:33:36.960 --> 0:33:39.160
<v Speaker 5>cloud migration. One is just refactoring for the cloud to

0:33:39.160 --> 0:33:41.760
<v Speaker 5>make sure the application works effectively in the cloud. And

0:33:41.800 --> 0:33:44.120
<v Speaker 5>the second is security. And then you built in security

0:33:44.200 --> 0:33:47.320
<v Speaker 5>by design using power does prison of cloud products to

0:33:47.320 --> 0:33:49.960
<v Speaker 5>make sure that not only did you have the visibility

0:33:50.080 --> 0:33:52.040
<v Speaker 5>so our cloud product you can scan and see where

0:33:52.040 --> 0:33:55.240
<v Speaker 5>the vulnerabilities are. And then there's also you know, cloud

0:33:55.760 --> 0:33:59.680
<v Speaker 5>firewalls essentially that will keep bad actors out and keep

0:33:59.720 --> 0:34:01.200
<v Speaker 5>the cloud instance secure.

0:34:02.280 --> 0:34:05.160
<v Speaker 3>If we sit down and have this conversation five years

0:34:05.160 --> 0:34:07.680
<v Speaker 3>from now, which I actually hope we do, be fun

0:34:08.920 --> 0:34:13.440
<v Speaker 3>this pretend is twenty twenty nine. Tell me what are

0:34:13.480 --> 0:34:15.080
<v Speaker 3>you happy about in twenty twenty nine.

0:34:15.320 --> 0:34:20.960
<v Speaker 4>I think twenty twenty nine quantum computing is mainstream I

0:34:20.960 --> 0:34:26.680
<v Speaker 4>think quantum computing is now quantum safe, where we're using

0:34:27.480 --> 0:34:32.320
<v Speaker 4>quantum computing to make sure that those bad actors aren't

0:34:32.320 --> 0:34:34.640
<v Speaker 4>as bad as they used to be back in twenty

0:34:34.680 --> 0:34:38.840
<v Speaker 4>twenty four, and that we're seeing around the corners and

0:34:38.880 --> 0:34:44.000
<v Speaker 4>that we're empowering our palo alto relationship. That in twenty

0:34:44.080 --> 0:34:48.879
<v Speaker 4>twenty nine is the premiere type of capability that people

0:34:48.920 --> 0:34:51.960
<v Speaker 4>are looking at when they think of what used to

0:34:51.960 --> 0:34:54.879
<v Speaker 4>be AI and now is quantum capability.

0:34:55.120 --> 0:34:55.400
<v Speaker 1>Yeah.

0:34:56.160 --> 0:35:00.239
<v Speaker 5>Yeah, I think for AI, everyone's just using it part

0:35:00.280 --> 0:35:03.360
<v Speaker 5>of their job. The way email was an innovation in

0:35:03.400 --> 0:35:05.960
<v Speaker 5>the nineties, the way you know cloud was an innovation

0:35:06.040 --> 0:35:08.520
<v Speaker 5>in the twenty tens, and we thought, how are we

0:35:08.560 --> 0:35:10.120
<v Speaker 5>going to use this? What impact is it going to

0:35:10.200 --> 0:35:12.759
<v Speaker 5>have on productivity? All these people who are spending their

0:35:12.840 --> 0:35:15.000
<v Speaker 5>days typing up memos, like what are they going to do?

0:35:15.239 --> 0:35:17.640
<v Speaker 5>We're going to be past that fear and we're all

0:35:17.680 --> 0:35:21.160
<v Speaker 5>going to understand that it is this like truly positive

0:35:21.200 --> 0:35:24.560
<v Speaker 5>force multiplier for you know, every employee is able to

0:35:24.600 --> 0:35:28.680
<v Speaker 5>do their best work and spend their time on the

0:35:28.719 --> 0:35:30.520
<v Speaker 5>things that only they can do, and then the AI

0:35:30.719 --> 0:35:32.080
<v Speaker 5>is doing the rest of that for them.

0:35:32.160 --> 0:35:36.800
<v Speaker 4>Right AI, it's fun to enable many things to work together.

0:35:37.000 --> 0:35:40.399
<v Speaker 4>It won't be just one language model. We won't even

0:35:40.440 --> 0:35:43.640
<v Speaker 4>think about. It will be the difference between you know,

0:35:44.560 --> 0:35:48.120
<v Speaker 4>Malcolm having a fax machine, a stereo and a telephone

0:35:48.960 --> 0:35:52.040
<v Speaker 4>and a memo board. Now it's in your pocket and

0:35:52.080 --> 0:35:54.279
<v Speaker 4>it's all one thing and you don't even call that,

0:35:54.360 --> 0:35:55.920
<v Speaker 4>you know. I said, walk them into my kids the

0:35:56.000 --> 0:35:58.920
<v Speaker 4>other day and they're like, what's a walk man? So

0:35:59.280 --> 0:36:01.839
<v Speaker 4>I do think will it'll be part of the past

0:36:01.880 --> 0:36:05.120
<v Speaker 4>and it's it will be the start of the seamless connection.

0:36:05.280 --> 0:36:12.279
<v Speaker 4>That is secure seamless connection of HR, of finance, of distribution, logistics,

0:36:12.320 --> 0:36:15.960
<v Speaker 4>of billing, all of those will have a capability to

0:36:16.000 --> 0:36:16.960
<v Speaker 4>work together.

0:36:17.360 --> 0:36:20.720
<v Speaker 3>Yeah, I have to do some social quick fire questions

0:36:21.280 --> 0:36:24.960
<v Speaker 3>you guys ready, all right? What's the number one thing

0:36:25.000 --> 0:36:26.640
<v Speaker 3>that people misunderstand about AI?

0:36:28.040 --> 0:36:29.400
<v Speaker 4>The reliance on data?

0:36:30.560 --> 0:36:31.279
<v Speaker 1>What do you mean by that?

0:36:32.080 --> 0:36:34.640
<v Speaker 4>I think that it's just assumed that it's happening and

0:36:34.800 --> 0:36:37.320
<v Speaker 4>it can just go out and grab data anywhere.

0:36:38.320 --> 0:36:39.960
<v Speaker 3>Yeah, you have.

0:36:39.920 --> 0:36:43.120
<v Speaker 4>To have good data, reliable data, and access to the data.

0:36:43.840 --> 0:36:45.600
<v Speaker 5>I mean people are too afraid of it.

0:36:46.040 --> 0:36:49.080
<v Speaker 3>Checkbox and image generators are the biggest things in consumer

0:36:49.120 --> 0:36:51.040
<v Speaker 3>AI right now. What do you think is that next

0:36:51.080 --> 0:36:52.400
<v Speaker 3>big business application?

0:36:52.560 --> 0:36:56.200
<v Speaker 4>Jason, I think it's the tying together of multiple capabilities.

0:36:56.200 --> 0:36:59.080
<v Speaker 4>I'm hinting towards us earlier is that I think tying

0:36:59.120 --> 0:37:02.200
<v Speaker 4>together the disparate systems that sit in different parts of

0:37:02.200 --> 0:37:04.920
<v Speaker 4>the organization front office, back office, making it one office

0:37:05.080 --> 0:37:07.160
<v Speaker 4>and tying together those different functions, that's it.

0:37:08.280 --> 0:37:10.680
<v Speaker 5>I mean, it's workflow automation. I think back to your

0:37:10.680 --> 0:37:13.920
<v Speaker 5>point on the reliance on data seems easy. It's a

0:37:13.920 --> 0:37:15.360
<v Speaker 5>lot harder than you think because you have to have

0:37:15.400 --> 0:37:17.400
<v Speaker 5>everything set up in exactly the right way to get

0:37:17.600 --> 0:37:20.279
<v Speaker 5>all of your systems automated and the sort of the

0:37:20.280 --> 0:37:22.480
<v Speaker 5>more boring jobs taken care of so that humans could

0:37:22.480 --> 0:37:23.520
<v Speaker 5>do the strategic ones.

0:37:25.200 --> 0:37:27.680
<v Speaker 3>How are you already using AI in your day to

0:37:27.719 --> 0:37:28.240
<v Speaker 3>day life?

0:37:30.440 --> 0:37:33.360
<v Speaker 5>I mean I use it at work all the time,

0:37:33.960 --> 0:37:36.000
<v Speaker 5>and then I've found right now I go to chat

0:37:36.040 --> 0:37:39.120
<v Speaker 5>GPT instead of Google to look things up. I like

0:37:39.160 --> 0:37:40.080
<v Speaker 5>having a conversation.

0:37:41.440 --> 0:37:45.520
<v Speaker 4>We have a wonderful capability in our consulting business called

0:37:46.160 --> 0:37:50.319
<v Speaker 4>our consulting assistant, and consulting advantage is the proper name

0:37:50.360 --> 0:37:52.400
<v Speaker 4>for it, but I look at it as that assistant

0:37:52.480 --> 0:37:55.000
<v Speaker 4>and it's a force multiplier for me. So if I

0:37:55.120 --> 0:38:00.120
<v Speaker 4>need to pull together content proposals with the teams, we

0:38:00.160 --> 0:38:00.759
<v Speaker 4>go straight to that.

0:38:01.560 --> 0:38:04.040
<v Speaker 3>We are one more. We hear so many definitions of

0:38:04.120 --> 0:38:07.400
<v Speaker 3>open related to technology. How do you define it and

0:38:07.480 --> 0:38:09.600
<v Speaker 3>how does the concept help you innovate?

0:38:10.719 --> 0:38:14.200
<v Speaker 5>By definition? In cybersecurity, you don't want to be too open, right,

0:38:14.680 --> 0:38:18.640
<v Speaker 5>So I think we enable openness with this concept of

0:38:18.719 --> 0:38:21.000
<v Speaker 5>zero trust and saying like everyone's invited in as long

0:38:21.000 --> 0:38:23.759
<v Speaker 5>as you have the right credentials, right. So that's that's

0:38:23.760 --> 0:38:25.640
<v Speaker 5>one way, and then the other way is just making

0:38:25.640 --> 0:38:29.160
<v Speaker 5>sure you're connected to all the different systems in order

0:38:29.200 --> 0:38:31.480
<v Speaker 5>to be able to have that visibility and see what's happening.

0:38:31.520 --> 0:38:35.319
<v Speaker 5>Because if you are blind, that's the minute you have

0:38:35.360 --> 0:38:36.400
<v Speaker 5>that vulnerability.

0:38:37.040 --> 0:38:43.440
<v Speaker 4>And I'd say it's moving quickly with security, it sounds contradictory.

0:38:43.840 --> 0:38:46.239
<v Speaker 4>Open hold then it means you're not safe. No, you

0:38:46.280 --> 0:38:47.560
<v Speaker 4>are safe and you can move faster.

0:38:47.880 --> 0:38:49.560
<v Speaker 3>Yeah, thank you so much. It's fun.

0:38:49.719 --> 0:38:51.319
<v Speaker 5>Thanks a lot, Thank you great. We'll see you in

0:38:51.320 --> 0:38:51.799
<v Speaker 5>five years.

0:38:52.760 --> 0:38:58.839
<v Speaker 3>Five years, man, I'll be old in five years. Thank

0:38:58.880 --> 0:39:02.120
<v Speaker 3>you to Jason Kelly and I M and Christy Fredericks

0:39:02.160 --> 0:39:06.640
<v Speaker 3>at Palo Alto Networks for that fascinating conversation about the

0:39:06.680 --> 0:39:12.880
<v Speaker 3>threats and opportunities in cybersecurity today. As Jason and Christie stressed,

0:39:13.239 --> 0:39:17.719
<v Speaker 3>AI can be a force multiplier for enterprise across industries.

0:39:18.760 --> 0:39:21.200
<v Speaker 3>When you're working with multiple products and have your data

0:39:21.239 --> 0:39:25.560
<v Speaker 3>in distributed environments, you need technology that will work across

0:39:25.600 --> 0:39:30.160
<v Speaker 3>your organization, and with Palo Alto Networks platform, you can

0:39:30.280 --> 0:39:36.239
<v Speaker 3>enhance cyber resiliency and simplify your operations. Through their collaboration,

0:39:36.600 --> 0:39:40.160
<v Speaker 3>IBM and Palo Alto Networks are charting the future a

0:39:40.280 --> 0:39:47.520
<v Speaker 3>fully integrated open end to end security solutions. Smart Talks

0:39:47.520 --> 0:39:50.800
<v Speaker 3>with IBM is produced by Matt Romano, Joey fish Ground,

0:39:50.960 --> 0:39:55.680
<v Speaker 3>Amy Gaines McQuaid, and Jacob Goldstein. We're edited by Lydia

0:39:55.760 --> 0:39:59.560
<v Speaker 3>Jane Kott. Our engineers are Sarah Brugaer and Ben Holliday.

0:40:00.040 --> 0:40:02.799
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0:40:03.160 --> 0:40:06.799
<v Speaker 3>and IBM teams, as well as the Pushkin Marketing team.

0:40:07.280 --> 0:40:10.000
<v Speaker 3>Smart Talks with IBM is a production of Pushkin Industries

0:40:10.280 --> 0:40:14.560
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<v Speaker 3>listen on the iHeartRadio app, Apple Podcasts, or wherever you

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