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Speaker 1: Hey everyone, it's Robert and Joe here. Today we've got

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Speaker 1: something a little different to share with you. It's a

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Speaker 1: new season of the Smart Talks with IBM podcast series.

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Speaker 2: This season, on smart Talks, Malcolm Gladwell and team are

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Speaker 2: diving into the transformative world of artificial intelligence with a

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Speaker 2: fresh perspective on the concept of open What does open

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Speaker 2: really mean in the context of AI. It can mean

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Speaker 2: open source code or open data, but it also encompasses

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Speaker 2: fostering an ecosystem of ideas, ensuring diverse perspectives are heard,

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Speaker 2: and enabling new levels of transparency.

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Speaker 1: Join hosts from your favorite pushkin podcasts as they explore

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Speaker 1: how openness in AI is reshaping industries, driving innovation, and

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Speaker 1: redefining what's possible. You'll hear from industry experts and leaders

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Speaker 1: about the implication and possibilities of open AI, and of course,

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Speaker 1: Malcolm Gladwell will be there to guide you through the

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Speaker 1: season with his unique insights.

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Speaker 2: Look out for new episodes of Smart Talks every other

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Speaker 2: week on the iHeartRadio app, Apple Podcasts, or wherever you

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Speaker 2: get your podcast and learn more at IBM dot com

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Speaker 2: slash smart Talks.

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Speaker 3: Hello, Hello, Welcome to smart Talks with IBM, a podcast

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Speaker 3: from Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glappwell. This season,

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Speaker 3: we're diving back into the world of artificial intelligence, but

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Speaker 3: with a focus on the powerful concept of open its possibilities, implications,

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Speaker 3: and misconceptions. We'll look at openness from a variety of

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Speaker 3: angles and explore how the concept is already reshaping industries,

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Speaker 3: ways of doing business and our very notion of what's possible.

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Speaker 3: On today's episode, I'm joined by Jason Kelly, the global

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Speaker 3: Managing Partner for IBM Strategic Partners and Ecosystems, and by

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Speaker 3: Christy Fredericks, the Senior Vice President and Chief Partnership Officer

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Speaker 3: at Palo Alto Networks. We discussed how their partnership in

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Speaker 3: the cybersecurity space helps strengthen enterprises by focusing on seamless

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Speaker 3: cybersecurity solutions tailored to meet the evolving threat landscape. By

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Speaker 3: leveraging AI and automation, this collaboration aims to modernize security programs,

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Speaker 3: improve response times, and produce risks. Jason and Christie both

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Speaker 3: bring a tremendous amount of experience and expertise to the subject.

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Speaker 3: I think you're really going to enjoy this one. Jason Christy,

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Speaker 3: Welcome to Smart Talks with IBM. Thank you for joining me.

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Speaker 4: Thank you, it's great to be here.

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Speaker 3: We are here to discuss cybersecurity and the partnership between

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Speaker 3: IBM and Polo Alter Networks. But before we get there,

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Speaker 3: I wanted you guys to tell me a little bit

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Speaker 3: about yourself. Jason's start with you. I see on your

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Speaker 3: resume west Point, which makes we think there's some interesting

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Speaker 3: things going on there. How did you get to west Point?

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Speaker 4: West Point? West Point was the decision. First, it was

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Speaker 4: it was affordable back in the day. But I had

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Speaker 4: a sense of service. My father was a World War

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Speaker 4: Two vet, so I grew up on the weekends watching

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Speaker 4: World War two video. You know he's army as well. Yeah,

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Speaker 4: and so I thought, oh, that'd be exciting, and I

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Speaker 4: thought I do some type of service. Went there and

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Speaker 4: now I have the biggest family, extended family I could

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Speaker 4: ever have. So it was very exciting. Played football lucked out,

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Speaker 4: meaning I wasn't recruited. I walked on and that kept

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Speaker 4: me there because it gave me something and out left

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Speaker 4: with all the other pressures that a defensive back I was.

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Speaker 4: I was great at knocking the ball down, not the

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Speaker 4: best at catching it.

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Speaker 3: Yeah, and then you were a ranger.

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Speaker 4: I was. I was privileged to be a US Army

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Speaker 4: airborne ranger station, but did most of my time in

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Speaker 4: northern Italy. Were part of the It's eighty second.

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Speaker 3: Air barnship post.

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Speaker 4: Oh yeah, that's what people say, seriously, like, you know,

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Speaker 4: you were you were nor You're drinking wine and having

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Speaker 4: bred you know. But it was a part of a

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Speaker 4: NATO force there at the time. Yeah, so exciting.

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Speaker 3: How did you get from there to IBM?

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Speaker 4: A long path. As I came out of the military,

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Speaker 4: I started manufacturing retail housing and did a quick stint,

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Speaker 4: took a leave of absence from industry, and did a

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Speaker 4: stint of yet again public service in the state of

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Speaker 4: Tennessee with economic development, and got a whiff of how

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Speaker 4: fun it could be to do things around data and media.

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Speaker 4: Started a small media firm what we would now call

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Speaker 4: a digital firm, sold it and said I wanted to

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Speaker 4: go do it again somewhere, but I wanted to go

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Speaker 4: to a big company. And the family at IBM brought

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Speaker 4: me in and yet to let me go.

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Speaker 3: That was how many years ago?

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Speaker 4: Two decades?

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Speaker 3: Oh wow?

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Speaker 4: Yeah, so, I know I look amazingly young on but yes,

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Speaker 4: IBM was my fifth career and and and I've enjoyed

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Speaker 4: a since. And that's what I what I do. They

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Speaker 4: build teams, grow new parts of the company and get

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Speaker 4: to work with some of the most brilliant people on

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Speaker 4: like Christy that just keep it exciting.

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Speaker 3: Christy, you're I was delighted to learn that you are Canadian.

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Speaker 3: Yes here, Yeah, but you so you were a consultant

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Speaker 3: for a long time at Bane.

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Speaker 5: Yes. Yeah. I joined Bain Consulting intending to spend a

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Speaker 5: couple of years there learn the ropes and then go

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Speaker 5: get my first real job. But the value personally to

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Speaker 5: my growth and development, and then that we were able

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Speaker 5: to bring our clients. I ended up there for sixteen years,

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Speaker 5: and then post Bain went on to another my first

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Speaker 5: product company, a new relic, and then it's come full

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Speaker 5: circle at Polluta Networks. But at Bain it was all

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Speaker 5: about bringing expertise across different industries to help our clients

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Speaker 5: improve whatever they needed to improve and bringing that expertise

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Speaker 5: to bear. And then you have the product lens and

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Speaker 5: you think Okay, we're going to build the absolute best

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Speaker 5: product to help our customers do what they need to

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Speaker 5: get done. And then I joined pal Alto about six

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Speaker 5: seven months ago in a partnerships role and I'm delighted

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Speaker 5: to be able to work with amazing consulting companies like

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Speaker 5: IBM where we bring both to bear.

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Speaker 3: How long have IBM and Polo Alto Network's been partners?

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Speaker 4: So we've been We've been working together for quite quite

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Speaker 4: a long time. But we made it official, meaning we

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Speaker 4: got married as strategic partners last year.

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Speaker 3: Oh I see. So what is it that each of

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Speaker 3: you bring to the table? What's each side special?

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Speaker 4: So it's great that you asked that because about a

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Speaker 4: decade ago, are now CEO Arvin Christ says, you know,

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Speaker 4: it wouldn't be great if we just had this one

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Speaker 4: focus with this what does IBM do? And you have

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Speaker 4: this whole list, and he says, let's make it simple.

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Speaker 4: We are a multi cloud, hybrid cloud AI company. And

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Speaker 4: so when you say that, it sounds very simple, but

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Speaker 4: then people, what the hell is that? What your hybrid cloud? Well,

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Speaker 4: both of those two things have a lot of data involved,

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Speaker 4: and a lot of those mean that that data is

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Speaker 4: going to sit in multiple places and distributed environments. Well,

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Speaker 4: if you're able to tie those things together with multiple partners,

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Speaker 4: you also have to make sure that it's secure because

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Speaker 4: in the direction that we're going, where data is now

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Speaker 4: being consumed in many different places and it is the

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Speaker 4: fuel behind AI as we know, then you say, ah, well,

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Speaker 4: who does that well and who does it in a

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Speaker 4: way that's getting rid of seams, the seams that could

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Speaker 4: be across multiple products, multiple product SATs even And that's

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Speaker 4: where Powell comes in.

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Speaker 5: I think the conventional wisdom and cybersecurity was always you

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Speaker 5: need all the new tools, right, you need it every threat.

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Speaker 5: It's like, whack them all. Every threat that pops up,

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Speaker 5: you get the tool that's purpose built for that specific thing. Well,

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Speaker 5: fast forward to the RSA conference this year. There were

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Speaker 5: four thousand vendors on the floor. You look at an

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Speaker 5: average company, there's hundreds of cybersecurity tools. It introduces a

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Speaker 5: level of complexity that is really hard to manage you

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Speaker 5: as a user, query and application, right, that query can

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Speaker 5: go through a bunch of different pings from one cloud

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Speaker 5: to the next, It goes into and out of assaas application,

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Speaker 5: it maybe running along a network. You may be accessing

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Speaker 5: it from your phone, which is an unmanaged device. It's

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Speaker 5: got to go in and out. And if you say, okay,

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Speaker 5: I've got to secure that phone, I've got to secure

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Speaker 5: the network. I've got it, then all of a sudden,

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Speaker 5: you've got sort of firewalls, software and hardwelfowles popping up everywhere.

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Speaker 5: You've got cloud security, and it's you've probably heard of

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Speaker 5: this concept of zero trust, which is every time you

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Speaker 5: have to check and say are you allowed in here?

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Speaker 5: Are you allowed in here? The number of places that

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Speaker 5: can fall down it just becomes overwhelming. So you end

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Speaker 5: up with either alerts firing every two seconds that you

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Speaker 5: have to then go investigate in most of which are

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Speaker 5: false positives or you miss something right. And so that

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Speaker 5: was the conventionalism was we've got to buy all these tools,

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Speaker 5: and now you've got overwhelmed CIOs and CSOs with hundreds

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Speaker 5: of tools, and Palo Alto strategy has been, look, we're

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Speaker 5: going to create a platform where everything can be stitched together,

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Speaker 5: everything can speak the same language, and we can sort

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Speaker 5: of manage throughout the architecture and watch this call as

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Speaker 5: as it's passing through all these different checkpoints, and we

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Speaker 5: can do it in a way that you still have

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Speaker 5: the confidence that it's best to breed right, so you're

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Speaker 5: not making any trade offs. But it's not so simple

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Speaker 5: just to get from the spaghetti to the seamless architecture.

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Speaker 5: You need, oftentimes to re engineer your business processes. You

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Speaker 5: have to re architect your digital environment. And so that's

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Speaker 5: where we partner with a company like IBM to bring

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Speaker 5: that expertise and say we're going to help you not

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Speaker 5: just deploy the best cybersecurity architecture, but really get your

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Speaker 5: environment ready to have this ar as.

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Speaker 4: Well as all of those players that cross that spaghetti.

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Speaker 4: Because when you start thinking about all the other partners

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Speaker 4: industry perspective, you're gonna have an e ERP. It could

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Speaker 4: be an Oracle, it could be an SAP. You're not

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Speaker 4: going to have one cloud, as I mentioned, it's gonna

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Speaker 4: be possibly multiple clouds. You'll have some aws maybe Microsoft

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Speaker 4: Azure and then even even some Google in there, and

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Speaker 4: then your own that you've built in your private over there, uh,

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Speaker 4: some an IBM cloud. You'll have those multiple clouds, and

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Speaker 4: then you also will have you know, fit for purpose Oh, well,

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Speaker 4: I need a I need a salesforce in there for

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Speaker 4: my customer focusing. I need I'm doing some graphics, so

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Speaker 4: I have Adobe. So I just as I can name

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Speaker 4: name name, all of those then have to be re engineered. Seriously.

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Speaker 4: I mean, come on, Malcolm, You're gonna sit there. You

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Speaker 4: think how long that would take. So if you haven't

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Speaker 4: done that before, you're gonna have to go to each

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Speaker 4: one of those individually, or you can work with a

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Speaker 4: company that can tie those things together, because we are

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Speaker 4: also strategic partners with them. So that's where you start

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Speaker 4: to say, Okay, I see how this comes together. You

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Speaker 4: have to make sure that your ecosystem is going to

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Speaker 4: be stronger than your competitor's ecosystem, and you have to

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Speaker 4: be secure in what you're doing because as you add

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Speaker 4: more players or products, you create seams, and you want

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Speaker 4: to make sure there's fewer seams and that there's zero

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Speaker 4: trust across that capability you're building. And that's why the

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Speaker 4: compliment between the two companies.

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Speaker 3: Well, take a step back from a moment before we

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Speaker 3: sort of launch, once get into the specifics of what

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Speaker 3: you guys are doing. I'm curious at this moment in

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Speaker 3: twenty twenty four. How nervous should we be about cybersecurity?

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Speaker 3: So compared it to five years ago or ten years ago,

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Speaker 3: are we are you less nervous than you were five

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Speaker 3: years ago or more nervous or all of changes going

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Speaker 3: on right now increasing vulnerability or decreasing it?

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Speaker 4: I would say Christie, also, I think we share the

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Speaker 4: point of view is that it's not necessarily being more nervous.

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Speaker 4: I think you should be more prepared because the amounts

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Speaker 4: of threat is increasing based on our dependence upon data.

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Speaker 4: And that's that's where I think the attention should be placed.

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Speaker 4: Is that more and more, especially with the importance of AI,

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Speaker 4: that you say, okay, then what's under all that? And

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Speaker 4: it's the data? As I said, So knowing that you

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Speaker 4: should be more concerned.

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Speaker 3: Does the advent of AI and its rapid evolution help

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Speaker 3: defense more or offense more?

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Speaker 5: I think it's I think it's like any mega trend

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Speaker 5: that we've witnessed both. Right, So you think about AI,

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Speaker 5: it's it's ninety nine percent great, right in terms of

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Speaker 5: what it's going to unlock for productivity, for humanity, But

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Speaker 5: it also makes it a whole lot easier to build

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Speaker 5: ransomware it's a whole lot easier to test different ways

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Speaker 5: into a system, right. But I think that's true if

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Speaker 5: you think about like the rise of the Internet, right,

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Speaker 5: all of a sudden, everyone was putting their data online

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Speaker 5: and you had to think of new ways to stay

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Speaker 5: ahead and keep that secure. And I don't think AI

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Speaker 5: is any different. You've got companies like Palta, partnerships like

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Speaker 5: Powell and IBM that are constantly scanning the landscape for

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Speaker 5: not only the current threats, but what's next, what's coming

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Speaker 5: around the corner, what's after AI? And so I think

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Speaker 5: taking it seriously and being prepared is probably the right

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Speaker 5: way of looking at it as opposed to because if

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Speaker 5: you think about it too hard, you'll just want to

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Speaker 5: crawl into a corner and stuff everything under the mattress.

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Speaker 3: I am the CEO of a regional hospital chain, big

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Speaker 3: distribute healthcare system, so a ton of data. The consequences

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Speaker 3: of being hacked and help for ransom.

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Speaker 2: Are life and death.

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Speaker 3: Life and death, right, little when you come So you

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Speaker 3: come down, you sit down with me, and you chat

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Speaker 3: with me, walk me through the kinds of things you

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Speaker 3: would tell me about what I need to get safer.

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Speaker 3: For example, let's start with one. Is it likely that

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Speaker 3: I'm spending too little or am I spending money in

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Speaker 3: the wrong place?

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Speaker 5: Great question, It depends how you've broken it out. If

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Speaker 5: you are distributing all of your dollars across a whole

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Speaker 5: bunch of different tools, it's likely you're just spending the

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Speaker 5: wrong money. And in fact, you know, putting it all

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Speaker 5: in one place is a way of potentially saving money

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Speaker 5: but keeping your security actually higher. And I'd love to

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Speaker 5: hear Jason, how you would approach it. How we would

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Speaker 5: approach it, of course, is by saying, you know, what,

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Speaker 5: what does your environment look like? You know, do you

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Speaker 5: have the connected medical devices into your EMR? Are your

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Speaker 5: respirators and ventilators all online? Right? And so we would

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Speaker 5: talk about, okay, here's how you get coverage, and how

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Speaker 5: the coverage of both the firewalls as well as the

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Speaker 5: detectors all feed back into your security operations center and

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Speaker 5: you can manage it and do your learning with AI

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Speaker 5: and keep yourself secure.

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Speaker 4: And so yeah, and I would say Christy and I

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Speaker 4: would go to the same point because if you get

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Speaker 4: under what she was just asking, it is your data

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Speaker 4: on prem and when it's on prem how active is

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Speaker 4: it across the enterprise? And so that begins the basis

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Speaker 4: for the start. And then often you're going to say, well,

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Speaker 4: we actually take in data from outside and then we

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Speaker 4: also have the circumstances. There's a lot of PII and

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Speaker 4: so that personal is the personal information, right, Yeah, And

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Speaker 4: so now you're saying, okay, now how are we securing

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Speaker 4: that and where are we securing it? And so you

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Speaker 4: have to start really thinking about the different areas within

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Speaker 4: that hospital chain. Are you sharing that amongst your hospitals?

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Speaker 4: And now you start to think of if I'm saying

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Speaker 4: no to a lot of that, it's like, well, then

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Speaker 4: are you as efficient as you want to be? So

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Speaker 4: there is that trade off of you know, am I

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Speaker 4: so tightly walled that I'm not productive? And so that's

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Speaker 4: where we would start to say what's the outcome that

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Speaker 4: you're trying to get to? All Right, maybe you're good,

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Speaker 4: Maybe you're you're good with your five locations and you

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Speaker 4: don't need to go any further, but maybe you want

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Speaker 4: to expand to fifty and by the way, you're going

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Speaker 4: to go crossporder, you're going to be in Toronto and

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Speaker 4: in New York. Okay, Well, then how do you do that?

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Speaker 4: And so I think that it's very easy to start

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Speaker 4: jumping into any of the typical situations. But the first

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Speaker 4: question that you have to ask you, as the hospital CEOs,

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Speaker 4: what's your objective? Are? What are you trying to do?

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Speaker 4: Because too often what we see is that there's some bright, new,

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Speaker 4: shiny thing that everybody wants to put in play. You know,

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Speaker 4: it's a sandwich looking for lunch and you go, but

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Speaker 4: what is it that you want to do as this?

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Speaker 4: Are you doing research? Are your research hospital? Are you

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Speaker 4: more consumer wriented? So those are the questions you start

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Speaker 4: to ask because they start to then tell a story

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Speaker 4: in line with what Christy questions. And I think that

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Speaker 4: that's where the again the compliment is that instead of

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Speaker 4: just saying, oh, well, that's thanks for telling me all this, Malcolm,

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Speaker 4: here's your ten page strategy. Now go find somebody. We

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Speaker 4: have the benefit in IBM, and it's probably why I'm

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Speaker 4: still there is you know, we're very unique. We're the

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Speaker 4: only company on the planet that has a consulting business

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Speaker 4: at scale inside of a technology company, and so we have,

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Speaker 4: you know, the left brain, right brain, We're able to

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Speaker 4: do that. And then we're able to say, okay, now

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Speaker 4: which partners are going to be most valuable for our clients.

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Speaker 4: What's going to work for you? Isn't going to work

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Speaker 4: for the manufacturer down the road, isn't going to work

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Speaker 4: for the consumer or CpG company across the river. Those

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Speaker 4: things are very specific. The threats and the scenes that

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Speaker 4: I was talking about are very specific. So that's where

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Speaker 4: it becomes very value to make sure that I'm not

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Speaker 4: just giving you some strategy that's generic.

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Speaker 3: But everything. As a healthcare CEO, everything I have done,

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Speaker 3: almost everything I've done over the last ten years, has

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Speaker 3: it had the effect of increasing my vulnerability. I want

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Speaker 3: to digitize data within the hospital used to be on

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Speaker 3: pieces of paper. I want doctors to go home and

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Speaker 3: to be able to seamlessly hook into stuff at work

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Speaker 3: because they got to do all their paperwork. I want

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Speaker 3: to make sure the diabetes people are speaking to the

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Speaker 3: organ transplant people. And so I'm isn't that everything I

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Speaker 3: have done to kind of keep up with the revolution

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Speaker 3: in healthcare? Isn't that also making me more and more

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Speaker 3: vulnerable to a bad actor.

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Speaker 5: It's such a great question because think about the quality

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Speaker 5: of healthcare delivery, right, So now doctors aren't filling out forms,

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Speaker 5: they're spending time with patients, and so the quality of

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Speaker 5: care is improving and the vulnerability is improving, right, And

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Speaker 5: so I think that's where having a strong cybersecurity strategy

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Speaker 5: actually enables all of that. One of our products is

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Speaker 5: our sas product, and we tested it with some business applications,

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Speaker 5: and oftentimes the wrap is, oh, security is going to

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Speaker 5: slow you down, right, Like you have to add a firewall,

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Speaker 5: you have to checkpoints. Our product actually increases the velocity

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Speaker 5: of your ability to use that application because of the

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Speaker 5: way that it is queried through our system as opposed

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Speaker 5: to just through the regular network. So it doesn't slow

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Speaker 5: it down and in fact, it makes it run more efficiently.

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Speaker 5: That's just one minor example. But back to the healthcare question. I,

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Speaker 5: as a patient want my doctors accessing all the technology

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Speaker 5: and talking to each other and connecting the dots behind

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Speaker 5: the scenes. I also want my data to stay private,

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Speaker 5: and so having both a consulting partner who understands how

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Speaker 5: to ask questions of the environment and of the applications

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Speaker 5: you're using, and who understands the industry inside and out,

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Speaker 5: and a technology partner that builds and stays ahead of

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Speaker 5: all of the different threats, come together and advise you.

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Speaker 5: I think is super important. When you bring in a

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Speaker 5: partner like IBM, with a platform like pal Aalta that covers,

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Speaker 5: you know, all the different parts of your environment, you're

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Speaker 5: able to say, look, where where are the vulnerabilities in

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Speaker 5: the system, Where are the different endpoints that we need

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Speaker 5: to have covered, and then just make sure you get

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Speaker 5: that breadth of coverage, and then you're better able to so, yes,

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Speaker 5: you've increased the risk, but then you've mitigated it.

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Speaker 3: So to give so before I retire my healthcare analogy,

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Speaker 3: because I was thinking about just trying to understand the

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Speaker 3: importance of this idea of having a single platform. So

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Speaker 3: if this muddle healthcare network is typical, I've acquired a

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Speaker 3: whole series of over the last ten years. I bought

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Speaker 3: a hospital over here, some I've got some physicians things

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Speaker 3: that I snapped up over here. I bought a diagnostics company,

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Speaker 3: and so I have all of these legacy systems and

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Speaker 3: I had, like you said, maybe I got some stuff

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Speaker 3: from the cloud with one company, some stuff with the cloud.

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Speaker 3: And what you're saying is the first step is to

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Speaker 3: kind of rationalize that put it on a single so

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Speaker 3: you understand where your points of weakness are as opposed

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Speaker 3: to being blind to your points of weakness.

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Speaker 5: There's yes, although anyone who's done any kind of M

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Speaker 5: and A knows that that's a long journey, right. So

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Speaker 5: I think the first step is just understanding where everything is.

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Speaker 5: And then you get on a path and you say,

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Speaker 5: where's the biggest risk. Let's let's neutralize or mitigate that

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Speaker 5: risk one at a time. The thing about open end secure,

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Speaker 5: you know Palo Alto. We keep touting the benefits of

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Speaker 5: the platform. Everything on Palo Alto, your risk is going

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Speaker 5: to be mitigated and you're going to have the full visibility.

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Speaker 5: But you can't get there overnight. And so we've got

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Speaker 5: you know, thousands of integrations with other technology companies, including

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Speaker 5: our partners, to make sure that we can capture and

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Speaker 5: have visibility into those those endpoints in those systems as well.

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Speaker 5: And so I think step one is just figure out

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Speaker 5: where everything is. Just get the scan, so poltize a

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Speaker 5: couple of products where you can kind of deploy and

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Speaker 5: get a view of your attack surface. I love the analogy.

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Speaker 5: Just like a digital environment is a house, right, and

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Speaker 5: so like you have your front door lock, of course,

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Speaker 5: because probably they're going to try the front door first.

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Speaker 5: But that's not all you're going to do, right, You're

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Speaker 5: going to make sure the whole you know, the windows

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Speaker 5: are locked and there's an alarm system and all of that.

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Speaker 5: And I think that's how you have to think about it,

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Speaker 5: is just how do we cover the whole service?

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Speaker 3: So everyone laid, people like me have been bombarded over

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Speaker 3: it seems like over the last year with one thing

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Speaker 3: another about how quickly AI is moving forward and how

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Speaker 3: big of a deal it is suddenly is going to

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Speaker 3: be in the economy. What is the impact of that

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Speaker 3: dramatic change in AI's capabilities on this cybersecurity question? So

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Speaker 3: what does it mean if you're defending somebody that you

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Speaker 3: now have these sophisticated AI tools you disuppose.

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Speaker 4: I think that AI becomes the force multiplier for cyber

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Speaker 4: to think about cyber Before it was just locking your doors,

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Speaker 4: locking the windows. If you were really good, you had

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Speaker 4: an alarm system.

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Speaker 5: You know.

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Speaker 4: Now with AI, you can say, well, I can predict

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Speaker 4: what's going to happen, I can see around the corner.

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Speaker 4: I know, I can leave my windows open upstairs and

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Speaker 4: it's fine and it's okay.

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Speaker 3: I mean because why because the AI is running a

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Speaker 3: million simulations it.

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Speaker 4: Can and that's exactly it. It becomes the intelligent part of

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Speaker 4: that AI. It's not artificial, it's augmented. So you now

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Speaker 4: have this new capability to see around corners and so

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Speaker 4: you're able to do the jobs of yesterday more effectively.

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Speaker 4: And the queries that you were doing and that's all

433
00:23:41,600 --> 00:23:44,520
Speaker 4: you're really doing, now you're doing them, you know, faster,

434
00:23:44,760 --> 00:23:48,480
Speaker 4: you're able to access even more data and you're able

435
00:23:48,520 --> 00:23:53,080
Speaker 4: to then make it more secure. So that's why AI

436
00:23:53,200 --> 00:23:54,520
Speaker 4: becomes a force multiplier.

437
00:23:54,800 --> 00:23:58,840
Speaker 3: Yeah, and just talk about the faster part. What does

438
00:23:59,040 --> 00:24:02,560
Speaker 3: faster mean in practical terms? If you're trying to defend

439
00:24:02,600 --> 00:24:05,320
Speaker 3: an enterprise against a cyber attack, what does speed matter

440
00:24:05,359 --> 00:24:06,080
Speaker 3: in that environment?

441
00:24:07,080 --> 00:24:10,600
Speaker 4: You're always trying to find a place through I go

442
00:24:10,640 --> 00:24:12,760
Speaker 4: back to you. We brought up the army. You always

443
00:24:12,880 --> 00:24:14,600
Speaker 4: how do you break the line? How do you find

444
00:24:14,600 --> 00:24:17,280
Speaker 4: a penetration point? And when you think about you know,

445
00:24:17,720 --> 00:24:21,679
Speaker 4: pin testing, penetration testing, where are those? So if you're

446
00:24:21,720 --> 00:24:24,520
Speaker 4: able to do that faster than the bad guys, and

447
00:24:24,560 --> 00:24:28,159
Speaker 4: not only faster, but you're picking more probable points. This

448
00:24:28,320 --> 00:24:31,200
Speaker 4: is back to the intelligence. I could waste time doing

449
00:24:31,400 --> 00:24:34,439
Speaker 4: penetration testing someplace where. That's why I mentioned leave. If

450
00:24:34,480 --> 00:24:37,280
Speaker 4: they can't get in the second story windows, why are

451
00:24:37,320 --> 00:24:40,600
Speaker 4: you spending time trying it? So that becomes more effective.

452
00:24:41,400 --> 00:24:44,200
Speaker 4: So that's when I think of speed. That's what I

453
00:24:44,240 --> 00:24:46,720
Speaker 4: think of because with not just speed, I think it's

454
00:24:46,720 --> 00:24:47,800
Speaker 4: also what's effective.

455
00:24:48,200 --> 00:24:50,119
Speaker 5: Just to put a fine point on it. So I

456
00:24:50,160 --> 00:24:52,240
Speaker 5: found a way in. Okay, Now what I don't know

457
00:24:52,280 --> 00:24:54,119
Speaker 5: where the jewelry is, so I have to look around

458
00:24:54,200 --> 00:24:56,800
Speaker 5: and see if there's any hidden gems and try to

459
00:24:56,840 --> 00:24:58,960
Speaker 5: find my way. That used to take a week, two

460
00:24:58,960 --> 00:25:02,680
Speaker 5: weeks or seven or fourteen days. Now it's hours, right,

461
00:25:02,760 --> 00:25:05,160
Speaker 5: So they're in and they can actually explatrate data within

462
00:25:05,480 --> 00:25:08,639
Speaker 5: less than a day. The metric we use in the

463
00:25:08,720 --> 00:25:11,560
Speaker 5: security operation center is meantime to detect, so to see

464
00:25:11,600 --> 00:25:14,600
Speaker 5: anyone's there, meantime to respond and remediate to get them

465
00:25:14,600 --> 00:25:18,840
Speaker 5: out right. That used to be also you know, seven eight, nine,

466
00:25:18,880 --> 00:25:22,960
Speaker 5: ten days. Now it needs to be less than an hour,

467
00:25:23,720 --> 00:25:27,640
Speaker 5: and with our AI based security operations platform, it is.

468
00:25:28,119 --> 00:25:31,000
Speaker 5: Now you've got one tool. That's whether it's all peloton

469
00:25:31,040 --> 00:25:33,360
Speaker 5: networks or whether it's just you know, hoofringing data from

470
00:25:33,359 --> 00:25:35,520
Speaker 5: other places, then you're able to see it all together.

471
00:25:35,560 --> 00:25:37,600
Speaker 5: So you actually get fewer alerts. So you get from

472
00:25:38,000 --> 00:25:41,320
Speaker 5: thousands of alerts down to one hundred alerts right, and

473
00:25:41,359 --> 00:25:43,840
Speaker 5: you can investigate them, and you investigate them using AI too.

474
00:25:44,160 --> 00:25:47,360
Speaker 5: And AI is is today. It's today's threat, but it's

475
00:25:47,440 --> 00:25:49,560
Speaker 5: you know, you think about threat and opportunity to think

476
00:25:49,560 --> 00:25:51,480
Speaker 5: about what's next. You always have to be kind of

477
00:25:51,520 --> 00:25:52,840
Speaker 5: evolving and you have to think.

478
00:25:53,240 --> 00:25:55,760
Speaker 4: We talk about threat and risk. You know, we didn't

479
00:25:55,760 --> 00:25:59,520
Speaker 4: tell you know, what is the cost of cyber some

480
00:25:59,640 --> 00:26:03,359
Speaker 4: type of penetration. It's typical costs is about four and

481
00:26:03,359 --> 00:26:09,159
Speaker 4: a half million dollars. And that's just in labor and remediation.

482
00:26:09,840 --> 00:26:14,040
Speaker 4: If you think about reputational risk as well, our Institute

483
00:26:14,040 --> 00:26:16,199
Speaker 4: for Business Value to to study and found it in

484
00:26:16,320 --> 00:26:19,840
Speaker 4: twenty twenty three there were thirty nine banks that we

485
00:26:19,960 --> 00:26:25,439
Speaker 4: watched that suffered a reputational risk market value of one

486
00:26:25,520 --> 00:26:29,040
Speaker 4: hundred and thirty billion dollars. And so you start to think, wow,

487
00:26:29,119 --> 00:26:34,120
Speaker 4: that's just reputational risk. So that's what's at stake here,

488
00:26:34,640 --> 00:26:36,919
Speaker 4: and it's only that is only going to get bigger.

489
00:26:37,680 --> 00:26:40,240
Speaker 5: So one of the piece we haven't talked about about

490
00:26:40,240 --> 00:26:42,680
Speaker 5: AI that I find super interesting because we've been talking

491
00:26:42,760 --> 00:26:46,520
Speaker 5: essentially about like the terminator, the robots fighting robots, right,

492
00:26:46,520 --> 00:26:49,320
Speaker 5: Like whose robots are quicker? Like I'm designing attacks and

493
00:26:49,359 --> 00:26:51,440
Speaker 5: I'm defending against a tax and I think that's that's

494
00:26:51,480 --> 00:26:55,639
Speaker 5: super important. But we recently launch and our working at

495
00:26:55,680 --> 00:26:58,520
Speaker 5: IBM on our AI security product to actually secure the

496
00:26:58,600 --> 00:27:00,440
Speaker 5: use of AI because it also opens up up another

497
00:27:00,520 --> 00:27:04,600
Speaker 5: set of threat factors. I'll give you an example. I'm

498
00:27:04,600 --> 00:27:07,120
Speaker 5: a marketing executive now for your hospital. So I work

499
00:27:07,200 --> 00:27:10,000
Speaker 5: for you, and you want to announce the launch of

500
00:27:10,040 --> 00:27:14,040
Speaker 5: a new center, and so I upload all the information

501
00:27:14,119 --> 00:27:16,320
Speaker 5: about all the patients and our you know how we

502
00:27:16,359 --> 00:27:18,879
Speaker 5: do things into chat GPT to write the PR for me. Well,

503
00:27:18,880 --> 00:27:21,000
Speaker 5: I've also just uploaded to chat GPT a whole bunch

504
00:27:21,040 --> 00:27:25,600
Speaker 5: of secrets, right. So it's it's how employees are using AI,

505
00:27:25,600 --> 00:27:27,800
Speaker 5: because I think, you know, some companies are sort of

506
00:27:27,800 --> 00:27:30,199
Speaker 5: building their own language models and their own AI applications

507
00:27:30,200 --> 00:27:32,919
Speaker 5: that they want to keep secure. Others are just curious

508
00:27:32,920 --> 00:27:35,679
Speaker 5: about how their employees are using AI applications on the shelf,

509
00:27:36,720 --> 00:27:38,760
Speaker 5: and so we announced in May a product where you

510
00:27:38,800 --> 00:27:42,520
Speaker 5: can actually scan and see how AI is being used

511
00:27:42,520 --> 00:27:45,520
Speaker 5: in your enterprise and within We made the announcement with

512
00:27:45,640 --> 00:27:47,560
Speaker 5: the GA was last month, but we made the announcement

513
00:27:47,560 --> 00:27:50,440
Speaker 5: in May, and we had immediately thousands of CIOs signing

514
00:27:50,520 --> 00:27:53,760
Speaker 5: up because just understanding you know who's using what, it's

515
00:27:53,800 --> 00:27:56,600
Speaker 5: another open question because you know, we talk about AI

516
00:27:57,040 --> 00:27:59,280
Speaker 5: enhancing productivity and all the benefits it's going to bring,

517
00:27:59,320 --> 00:28:02,000
Speaker 5: but it brings it brings risks, not just in how

518
00:28:02,000 --> 00:28:04,480
Speaker 5: it's being used by the threat actors, but also you

519
00:28:04,520 --> 00:28:06,400
Speaker 5: know what other vulnerabilities that.

520
00:28:06,320 --> 00:28:09,920
Speaker 3: Exc It is the eye that you does that system

521
00:28:10,080 --> 00:28:11,840
Speaker 3: tell you what's a problematic use.

522
00:28:12,640 --> 00:28:15,080
Speaker 5: It does, so what what it does, and you've got

523
00:28:15,080 --> 00:28:16,800
Speaker 5: to train it right. But what it does is say

524
00:28:16,840 --> 00:28:19,879
Speaker 5: this is this is outside of your policy. So CIOs

525
00:28:19,880 --> 00:28:22,399
Speaker 5: will set policies on here's what is acceptable and not

526
00:28:22,440 --> 00:28:24,320
Speaker 5: acceptable use. So we'll be able to scan and say

527
00:28:24,320 --> 00:28:27,000
Speaker 5: these these falling uses are outside of policy, and then

528
00:28:27,040 --> 00:28:29,080
Speaker 5: it'll punt and say I think this is too restrictive,

529
00:28:29,080 --> 00:28:30,679
Speaker 5: I think this is too permissive, and then you can

530
00:28:30,680 --> 00:28:34,360
Speaker 5: sort of update your policies from there. That's just sort

531
00:28:34,359 --> 00:28:36,840
Speaker 5: of the visibility piece, and then there's the run time piece,

532
00:28:36,840 --> 00:28:38,800
Speaker 5: which will actually stop you from using it. So you

533
00:28:38,840 --> 00:28:41,480
Speaker 5: go and say, Okay, here's all my patients' social security numbers.

534
00:28:41,520 --> 00:28:44,080
Speaker 5: I'm going to upload them to chat GPT to you know,

535
00:28:44,680 --> 00:28:47,000
Speaker 5: get an understanding of like where they all live. I

536
00:28:47,000 --> 00:28:49,200
Speaker 5: don't know what why you would possibly do that, but

537
00:28:49,240 --> 00:28:51,640
Speaker 5: let's say you were, and then you know, it'll note

538
00:28:51,680 --> 00:28:53,480
Speaker 5: that looks like a social security number. You can't upload

539
00:28:53,560 --> 00:28:54,840
Speaker 5: that into your prompt, so it.

540
00:28:54,800 --> 00:29:00,520
Speaker 3: Will stop you before you Yeah, thoughtful voice over you shoulder,

541
00:29:01,120 --> 00:29:04,040
Speaker 3: just to remind you not to do something silly exactly.

542
00:29:04,400 --> 00:29:06,920
Speaker 3: But this is just talk a little bit more about

543
00:29:07,120 --> 00:29:11,000
Speaker 3: adding AI into this mix. You say it's a force multiplier.

544
00:29:11,080 --> 00:29:15,040
Speaker 3: It's really interesting dig into that, what other instances of

545
00:29:15,040 --> 00:29:19,400
Speaker 3: what that means. How does the balance between AI and

546
00:29:20,640 --> 00:29:25,640
Speaker 3: human expertise work in the kind of next generation of cybersecurity.

547
00:29:26,480 --> 00:29:30,720
Speaker 4: I think the common way to look at as it

548
00:29:30,920 --> 00:29:34,400
Speaker 4: back to the force multipliers, It's not going to be

549
00:29:34,640 --> 00:29:36,880
Speaker 4: is your AI better? But can you use it better?

550
00:29:37,280 --> 00:29:41,000
Speaker 4: Can you ask your AI the right questions? Are you

551
00:29:41,040 --> 00:29:44,520
Speaker 4: well trained? So the competition really becomes your use of AI?

552
00:29:45,320 --> 00:29:48,680
Speaker 4: And are you pointed it in the right direction. You

553
00:29:48,720 --> 00:29:51,800
Speaker 4: have fifty people, can they do the work of two

554
00:29:51,880 --> 00:29:54,800
Speaker 4: hundred and fifty and can they do it in a

555
00:29:54,840 --> 00:29:57,960
Speaker 4: safe and secure manner, So you're not opening up more

556
00:29:58,040 --> 00:30:01,280
Speaker 4: risk based on or two much risk is your risk

557
00:30:01,360 --> 00:30:04,040
Speaker 4: tolerance in order to get the outcome. So that's why

558
00:30:04,240 --> 00:30:07,400
Speaker 4: I think there's the opportunity. And so you see this

559
00:30:07,920 --> 00:30:10,680
Speaker 4: truly as a force multiplier because the first thing people go, oh,

560
00:30:10,680 --> 00:30:13,480
Speaker 4: you're going to get rid of people. Oh, the people

561
00:30:13,560 --> 00:30:17,560
Speaker 4: portion is still still going to be just as important

562
00:30:17,560 --> 00:30:19,400
Speaker 4: because they're doing that other piece of work.

563
00:30:19,480 --> 00:30:21,640
Speaker 5: One of my favorite statistics is that there are now

564
00:30:21,720 --> 00:30:23,840
Speaker 5: more bank tellers in the US than there were in

565
00:30:23,920 --> 00:30:27,080
Speaker 5: nineteen sixty before the ATM was invented. Right, So, but

566
00:30:27,120 --> 00:30:28,800
Speaker 5: it used to be you would go to your bank

567
00:30:29,280 --> 00:30:31,640
Speaker 5: because you had to. I remember doing this. You go,

568
00:30:31,760 --> 00:30:33,560
Speaker 5: you fill out your deposit slip, you hand it to

569
00:30:33,600 --> 00:30:36,120
Speaker 5: the teller and they give you your cash. And then

570
00:30:36,160 --> 00:30:38,000
Speaker 5: ATMs are invented, and it's like, oh, no, what's going

571
00:30:38,040 --> 00:30:40,040
Speaker 5: to happen all these jobs and now there's more, Right,

572
00:30:39,880 --> 00:30:43,600
Speaker 5: but you're not withdrawing money from a bank teller. You're

573
00:30:43,640 --> 00:30:47,080
Speaker 5: now doing more sophisticated transactions. And so I think it's

574
00:30:47,080 --> 00:30:49,640
Speaker 5: similar with AI, right, Like you want people doing things

575
00:30:49,680 --> 00:30:50,600
Speaker 5: that only people can do.

576
00:30:51,080 --> 00:30:53,880
Speaker 3: The human element remains absolutely central in all of this.

577
00:30:55,440 --> 00:30:59,960
Speaker 3: How do you make sure that your cybersecurity folks are

578
00:31:00,040 --> 00:31:03,080
Speaker 3: are equipped to handle high value tasks, are ready for

579
00:31:03,120 --> 00:31:04,520
Speaker 3: this increasing responsibility.

580
00:31:05,720 --> 00:31:07,680
Speaker 5: There's a couple of ways to answer this, but I

581
00:31:07,680 --> 00:31:12,120
Speaker 5: think the more you're able to automate the routine and

582
00:31:12,160 --> 00:31:17,040
Speaker 5: the mundane tasks. For example, the bulk of cybersecurity happens

583
00:31:17,040 --> 00:31:19,960
Speaker 5: in the security operations center. There's analysts who are sitting

584
00:31:20,000 --> 00:31:23,080
Speaker 5: in that center. If they're spending all day either configuring

585
00:31:24,160 --> 00:31:26,760
Speaker 5: alerts or responding to alerts, they're not able to do

586
00:31:26,800 --> 00:31:29,560
Speaker 5: the advanced sort of threat hunting and analysis work. And

587
00:31:29,600 --> 00:31:31,280
Speaker 5: so I think a big chunk of it is just

588
00:31:31,320 --> 00:31:34,080
Speaker 5: freeing up their time to be able to do the

589
00:31:34,080 --> 00:31:37,040
Speaker 5: more advanced strategic work. And a lot of the automation

590
00:31:37,120 --> 00:31:41,080
Speaker 5: tools based on AI, like our cortex XIM product, is

591
00:31:41,760 --> 00:31:44,000
Speaker 5: it's designed to free up their time in order to

592
00:31:44,000 --> 00:31:44,640
Speaker 5: be able to do that.

593
00:31:45,280 --> 00:31:48,640
Speaker 4: And from our perspective, it is making sure that it's

594
00:31:48,640 --> 00:31:52,600
Speaker 4: a requirement to make sure that you have the qualifications

595
00:31:52,600 --> 00:31:54,920
Speaker 4: because people can easily get used to doing what they've

596
00:31:54,960 --> 00:31:58,160
Speaker 4: always done. I know this, and that's what I do.

597
00:31:58,480 --> 00:32:02,600
Speaker 4: You say, Well, now, all the threat actors are learning

598
00:32:02,680 --> 00:32:05,640
Speaker 4: on fly. They're trying to always outsmart you. So it's

599
00:32:05,680 --> 00:32:08,560
Speaker 4: in your best interest, our best interest, our client's best

600
00:32:08,760 --> 00:32:12,360
Speaker 4: and partners best that you are on the front leaning

601
00:32:12,480 --> 00:32:14,280
Speaker 4: edge of that learning capability.

602
00:32:14,680 --> 00:32:16,640
Speaker 3: If you're talking to a client he wants to develop

603
00:32:16,720 --> 00:32:22,120
Speaker 3: a kind of unified cybersecurity strategy, what's the best single

604
00:32:22,160 --> 00:32:25,880
Speaker 3: piece of advice you can give them?

605
00:32:25,920 --> 00:32:30,040
Speaker 5: You should have a single platform. It's hard not to

606
00:32:30,040 --> 00:32:32,640
Speaker 5: answer that, but it is true. I mean all joking

607
00:32:32,640 --> 00:32:36,360
Speaker 5: aside having you know the best of breed solutions that

608
00:32:36,360 --> 00:32:38,320
Speaker 5: are all talking to each other and able to stitch

609
00:32:38,320 --> 00:32:41,600
Speaker 5: together and identify threats before human might be able to.

610
00:32:42,520 --> 00:32:44,960
Speaker 5: That's number one, and number two is making sure you

611
00:32:44,960 --> 00:32:48,560
Speaker 5: have visibility on all elements so you're able to cover

612
00:32:48,600 --> 00:32:51,239
Speaker 5: your whole environment and understand how people are accessing it.

613
00:32:51,480 --> 00:32:55,520
Speaker 4: I'd say, think like a bad actor. Yeah, always think

614
00:32:55,560 --> 00:32:58,880
Speaker 4: outside in because you get comfortable the other way around.

615
00:33:00,560 --> 00:33:04,800
Speaker 3: You guys work together with a push Environ company, and

616
00:33:05,080 --> 00:33:06,680
Speaker 3: I'd love for you to talk a little bit about

617
00:33:06,880 --> 00:33:08,960
Speaker 3: use that as a kind of case study for what

618
00:33:09,040 --> 00:33:13,520
Speaker 3: this collaboration between the two your two companies looks like.

619
00:33:13,880 --> 00:33:15,480
Speaker 3: When you work with a cloud.

620
00:33:15,640 --> 00:33:18,600
Speaker 5: It really was, you know, IBM leading on a digital

621
00:33:18,600 --> 00:33:21,960
Speaker 5: transformation for this client that wanted to move their applications

622
00:33:21,960 --> 00:33:23,920
Speaker 5: into the cloud. And so you're asking a lot of

623
00:33:24,000 --> 00:33:26,680
Speaker 5: questions about how does AI increase the risk and the

624
00:33:26,720 --> 00:33:29,080
Speaker 5: surface area. Those same questions ten years ago were asked

625
00:33:29,120 --> 00:33:31,480
Speaker 5: about the cloud, and we're still on the journey where

626
00:33:32,120 --> 00:33:34,800
Speaker 5: companies are migrating to the cloud. We're not anywhere near

627
00:33:34,880 --> 00:33:36,960
Speaker 5: finished that yet. And so there's two pieces to a

628
00:33:36,960 --> 00:33:39,160
Speaker 5: cloud migration. One is just refactoring for the cloud to

629
00:33:39,160 --> 00:33:41,760
Speaker 5: make sure the application works effectively in the cloud. And

630
00:33:41,800 --> 00:33:44,120
Speaker 5: the second is security. And then you built in security

631
00:33:44,200 --> 00:33:47,320
Speaker 5: by design using power does prison of cloud products to

632
00:33:47,320 --> 00:33:49,960
Speaker 5: make sure that not only did you have the visibility

633
00:33:50,080 --> 00:33:52,040
Speaker 5: so our cloud product you can scan and see where

634
00:33:52,040 --> 00:33:55,240
Speaker 5: the vulnerabilities are. And then there's also you know, cloud

635
00:33:55,760 --> 00:33:59,680
Speaker 5: firewalls essentially that will keep bad actors out and keep

636
00:33:59,720 --> 00:34:01,200
Speaker 5: the cloud instance secure.

637
00:34:02,280 --> 00:34:05,160
Speaker 3: If we sit down and have this conversation five years

638
00:34:05,160 --> 00:34:07,680
Speaker 3: from now, which I actually hope we do, be fun

639
00:34:08,920 --> 00:34:13,440
Speaker 3: this pretend is twenty twenty nine. Tell me what are

640
00:34:13,480 --> 00:34:15,080
Speaker 3: you happy about in twenty twenty nine.

641
00:34:15,320 --> 00:34:20,960
Speaker 4: I think twenty twenty nine quantum computing is mainstream I

642
00:34:20,960 --> 00:34:26,680
Speaker 4: think quantum computing is now quantum safe, where we're using

643
00:34:27,480 --> 00:34:32,320
Speaker 4: quantum computing to make sure that those bad actors aren't

644
00:34:32,320 --> 00:34:34,640
Speaker 4: as bad as they used to be back in twenty

645
00:34:34,680 --> 00:34:38,840
Speaker 4: twenty four, and that we're seeing around the corners and

646
00:34:38,880 --> 00:34:44,000
Speaker 4: that we're empowering our palo alto relationship. That in twenty

647
00:34:44,080 --> 00:34:48,879
Speaker 4: twenty nine is the premiere type of capability that people

648
00:34:48,920 --> 00:34:51,960
Speaker 4: are looking at when they think of what used to

649
00:34:51,960 --> 00:34:54,879
Speaker 4: be AI and now is quantum capability.

650
00:34:55,120 --> 00:34:55,400
Speaker 1: Yeah.

651
00:34:56,160 --> 00:35:00,239
Speaker 5: Yeah, I think for AI, everyone's just using it part

652
00:35:00,280 --> 00:35:03,360
Speaker 5: of their job. The way email was an innovation in

653
00:35:03,400 --> 00:35:05,960
Speaker 5: the nineties, the way you know cloud was an innovation

654
00:35:06,040 --> 00:35:08,520
Speaker 5: in the twenty tens, and we thought, how are we

655
00:35:08,560 --> 00:35:10,120
Speaker 5: going to use this? What impact is it going to

656
00:35:10,200 --> 00:35:12,759
Speaker 5: have on productivity? All these people who are spending their

657
00:35:12,840 --> 00:35:15,000
Speaker 5: days typing up memos, like what are they going to do?

658
00:35:15,239 --> 00:35:17,640
Speaker 5: We're going to be past that fear and we're all

659
00:35:17,680 --> 00:35:21,160
Speaker 5: going to understand that it is this like truly positive

660
00:35:21,200 --> 00:35:24,560
Speaker 5: force multiplier for you know, every employee is able to

661
00:35:24,600 --> 00:35:28,680
Speaker 5: do their best work and spend their time on the

662
00:35:28,719 --> 00:35:30,520
Speaker 5: things that only they can do, and then the AI

663
00:35:30,719 --> 00:35:32,080
Speaker 5: is doing the rest of that for them.

664
00:35:32,160 --> 00:35:36,800
Speaker 4: Right AI, it's fun to enable many things to work together.

665
00:35:37,000 --> 00:35:40,399
Speaker 4: It won't be just one language model. We won't even

666
00:35:40,440 --> 00:35:43,640
Speaker 4: think about. It will be the difference between you know,

667
00:35:44,560 --> 00:35:48,120
Speaker 4: Malcolm having a fax machine, a stereo and a telephone

668
00:35:48,960 --> 00:35:52,040
Speaker 4: and a memo board. Now it's in your pocket and

669
00:35:52,080 --> 00:35:54,279
Speaker 4: it's all one thing and you don't even call that,

670
00:35:54,360 --> 00:35:55,920
Speaker 4: you know. I said, walk them into my kids the

671
00:35:56,000 --> 00:35:58,920
Speaker 4: other day and they're like, what's a walk man? So

672
00:35:59,280 --> 00:36:01,839
Speaker 4: I do think will it'll be part of the past

673
00:36:01,880 --> 00:36:05,120
Speaker 4: and it's it will be the start of the seamless connection.

674
00:36:05,280 --> 00:36:12,279
Speaker 4: That is secure seamless connection of HR, of finance, of distribution, logistics,

675
00:36:12,320 --> 00:36:15,960
Speaker 4: of billing, all of those will have a capability to

676
00:36:16,000 --> 00:36:16,960
Speaker 4: work together.

677
00:36:17,360 --> 00:36:20,720
Speaker 3: Yeah, I have to do some social quick fire questions

678
00:36:21,280 --> 00:36:24,960
Speaker 3: you guys ready, all right? What's the number one thing

679
00:36:25,000 --> 00:36:26,640
Speaker 3: that people misunderstand about AI?

680
00:36:28,040 --> 00:36:29,400
Speaker 4: The reliance on data?

681
00:36:30,560 --> 00:36:31,279
Speaker 1: What do you mean by that?

682
00:36:32,080 --> 00:36:34,640
Speaker 4: I think that it's just assumed that it's happening and

683
00:36:34,800 --> 00:36:37,320
Speaker 4: it can just go out and grab data anywhere.

684
00:36:38,320 --> 00:36:39,960
Speaker 3: Yeah, you have.

685
00:36:39,920 --> 00:36:43,120
Speaker 4: To have good data, reliable data, and access to the data.

686
00:36:43,840 --> 00:36:45,600
Speaker 5: I mean people are too afraid of it.

687
00:36:46,040 --> 00:36:49,080
Speaker 3: Checkbox and image generators are the biggest things in consumer

688
00:36:49,120 --> 00:36:51,040
Speaker 3: AI right now. What do you think is that next

689
00:36:51,080 --> 00:36:52,400
Speaker 3: big business application?

690
00:36:52,560 --> 00:36:56,200
Speaker 4: Jason, I think it's the tying together of multiple capabilities.

691
00:36:56,200 --> 00:36:59,080
Speaker 4: I'm hinting towards us earlier is that I think tying

692
00:36:59,120 --> 00:37:02,200
Speaker 4: together the disparate systems that sit in different parts of

693
00:37:02,200 --> 00:37:04,920
Speaker 4: the organization front office, back office, making it one office

694
00:37:05,080 --> 00:37:07,160
Speaker 4: and tying together those different functions, that's it.

695
00:37:08,280 --> 00:37:10,680
Speaker 5: I mean, it's workflow automation. I think back to your

696
00:37:10,680 --> 00:37:13,920
Speaker 5: point on the reliance on data seems easy. It's a

697
00:37:13,920 --> 00:37:15,360
Speaker 5: lot harder than you think because you have to have

698
00:37:15,400 --> 00:37:17,400
Speaker 5: everything set up in exactly the right way to get

699
00:37:17,600 --> 00:37:20,279
Speaker 5: all of your systems automated and the sort of the

700
00:37:20,280 --> 00:37:22,480
Speaker 5: more boring jobs taken care of so that humans could

701
00:37:22,480 --> 00:37:23,520
Speaker 5: do the strategic ones.

702
00:37:25,200 --> 00:37:27,680
Speaker 3: How are you already using AI in your day to

703
00:37:27,719 --> 00:37:28,240
Speaker 3: day life?

704
00:37:30,440 --> 00:37:33,360
Speaker 5: I mean I use it at work all the time,

705
00:37:33,960 --> 00:37:36,000
Speaker 5: and then I've found right now I go to chat

706
00:37:36,040 --> 00:37:39,120
Speaker 5: GPT instead of Google to look things up. I like

707
00:37:39,160 --> 00:37:40,080
Speaker 5: having a conversation.

708
00:37:41,440 --> 00:37:45,520
Speaker 4: We have a wonderful capability in our consulting business called

709
00:37:46,160 --> 00:37:50,319
Speaker 4: our consulting assistant, and consulting advantage is the proper name

710
00:37:50,360 --> 00:37:52,400
Speaker 4: for it, but I look at it as that assistant

711
00:37:52,480 --> 00:37:55,000
Speaker 4: and it's a force multiplier for me. So if I

712
00:37:55,120 --> 00:38:00,120
Speaker 4: need to pull together content proposals with the teams, we

713
00:38:00,160 --> 00:38:00,759
Speaker 4: go straight to that.

714
00:38:01,560 --> 00:38:04,040
Speaker 3: We are one more. We hear so many definitions of

715
00:38:04,120 --> 00:38:07,400
Speaker 3: open related to technology. How do you define it and

716
00:38:07,480 --> 00:38:09,600
Speaker 3: how does the concept help you innovate?

717
00:38:10,719 --> 00:38:14,200
Speaker 5: By definition? In cybersecurity, you don't want to be too open, right,

718
00:38:14,680 --> 00:38:18,640
Speaker 5: So I think we enable openness with this concept of

719
00:38:18,719 --> 00:38:21,000
Speaker 5: zero trust and saying like everyone's invited in as long

720
00:38:21,000 --> 00:38:23,759
Speaker 5: as you have the right credentials, right. So that's that's

721
00:38:23,760 --> 00:38:25,640
Speaker 5: one way, and then the other way is just making

722
00:38:25,640 --> 00:38:29,160
Speaker 5: sure you're connected to all the different systems in order

723
00:38:29,200 --> 00:38:31,480
Speaker 5: to be able to have that visibility and see what's happening.

724
00:38:31,520 --> 00:38:35,319
Speaker 5: Because if you are blind, that's the minute you have

725
00:38:35,360 --> 00:38:36,400
Speaker 5: that vulnerability.

726
00:38:37,040 --> 00:38:43,440
Speaker 4: And I'd say it's moving quickly with security, it sounds contradictory.

727
00:38:43,840 --> 00:38:46,239
Speaker 4: Open hold then it means you're not safe. No, you

728
00:38:46,280 --> 00:38:47,560
Speaker 4: are safe and you can move faster.

729
00:38:47,880 --> 00:38:49,560
Speaker 3: Yeah, thank you so much. It's fun.

730
00:38:49,719 --> 00:38:51,319
Speaker 5: Thanks a lot, Thank you great. We'll see you in

731
00:38:51,320 --> 00:38:51,799
Speaker 5: five years.

732
00:38:52,760 --> 00:38:58,839
Speaker 3: Five years, man, I'll be old in five years. Thank

733
00:38:58,880 --> 00:39:02,120
Speaker 3: you to Jason Kelly and I M and Christy Fredericks

734
00:39:02,160 --> 00:39:06,640
Speaker 3: at Palo Alto Networks for that fascinating conversation about the

735
00:39:06,680 --> 00:39:12,880
Speaker 3: threats and opportunities in cybersecurity today. As Jason and Christie stressed,

736
00:39:13,239 --> 00:39:17,719
Speaker 3: AI can be a force multiplier for enterprise across industries.

737
00:39:18,760 --> 00:39:21,200
Speaker 3: When you're working with multiple products and have your data

738
00:39:21,239 --> 00:39:25,560
Speaker 3: in distributed environments, you need technology that will work across

739
00:39:25,600 --> 00:39:30,160
Speaker 3: your organization, and with Palo Alto Networks platform, you can

740
00:39:30,280 --> 00:39:36,239
Speaker 3: enhance cyber resiliency and simplify your operations. Through their collaboration,

741
00:39:36,600 --> 00:39:40,160
Speaker 3: IBM and Palo Alto Networks are charting the future a

742
00:39:40,280 --> 00:39:47,520
Speaker 3: fully integrated open end to end security solutions. Smart Talks

743
00:39:47,520 --> 00:39:50,800
Speaker 3: with IBM is produced by Matt Romano, Joey fish Ground,

744
00:39:50,960 --> 00:39:55,680
Speaker 3: Amy Gaines McQuaid, and Jacob Goldstein. We're edited by Lydia

745
00:39:55,760 --> 00:39:59,560
Speaker 3: Jane Kott. Our engineers are Sarah Brugaer and Ben Holliday.

746
00:40:00,040 --> 00:40:02,799
Speaker 3: Theme song by Gramoscope. Special thanks to the eight Bar

747
00:40:03,160 --> 00:40:06,799
Speaker 3: and IBM teams, as well as the Pushkin Marketing team.

748
00:40:07,280 --> 00:40:10,000
Speaker 3: Smart Talks with IBM is a production of Pushkin Industries

749
00:40:10,280 --> 00:40:14,560
Speaker 3: and Ruby Studio at iHeartMedia. To find more Pushkin podcasts,

750
00:40:14,920 --> 00:40:18,680
Speaker 3: listen on the iHeartRadio app, Apple Podcasts, or wherever you

751
00:40:18,840 --> 00:40:24,080
Speaker 3: listen to podcasts. I'm Malcolm glapwom. This is a paid

752
00:40:24,160 --> 00:40:29,000
Speaker 3: advertisement from IBM. The conversations on this podcast don't necessarily

753
00:40:29,040 --> 00:40:43,840
Speaker 3: represent IBM's positions, strategies, or opinions.