درباره این اپیزود
AI adoption continues to accelerate. Can organizations’ governance and risk-management efforts keep pace? In this episode of Compliance Pointers, Brandon Breslin explores how AI is changing workforce dynamics, introducing new risks, and why frameworks like ISO 42001 are becoming essential. Watch the entire episode to learn about:
✅ The impact of accelerating AI adoption
✅ Managing AI risks
✅ Using AI to power compliance Strategies
✅ Relevance of ISO 42001 in AI governance
Learn more about CompliancePoint's HITRUST certification services at: https://www.compliancepoint.com/services/healthcare/hitrust-certification/
Learn more about our AI Risk Management Services at: https://www.compliancepoint.com/services/cyber-security/ai-risk-management-services/
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Welcome to Compliance Pointers, where we take
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an in -depth look into the latest news, trends,
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and challenges surrounding information security,
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privacy, and marketing compliance. Let's dive
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in with your host, Jordan Eisner. Hello, and
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welcome to another episode of Compliance Pointers,
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sponsored by Compliance Point, of course. And
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who do we have on the podcast today? I'm sure
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the leader in guest appearances on Compliance
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Pointers, Brandon Breslin. I don't know. I've
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seen Matt Cagle a lot recently on some of these.
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Well, he's a host. He doesn't count. He's one
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of the ranks of hosts. That's a good point. That's
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a good point. So, hey, I'm loving that we're
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putting so many of these episodes out there.
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I love it. And you're liking it so much that
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you're recommending topics as you did with this
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one today. Yep, yep. Getting our subscriber count
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up there. I like it. Yeah, right. Hopefully,
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hopefully with some of these new topics. Yeah.
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And so what we're talking about today, and this
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is timely because we came into this podcast to
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talk about OpenAI, ServiceNow, partnerships around
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AI, how relevant ISO 42001 can be on some of
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that. But then just recently. We're seeing these
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layoffs, UPS, Dow, Amazon, and they're leaning
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into AI. And they're saying the quiet part out
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loud, I guess, is, hey, we're eliminating however
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many thousand jobs because we're going to use
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AI. Yeah, exactly. So I think that's timely too
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today. And we can talk about how some of that
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intertwines. does that make 42001 more relevant
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does it make other ai certifications or frameworks
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more relevant than they already are or do you
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expect that organizations will i don't know i
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guess rally to those more so than they would
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have before so but before we get i guess into
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that for our listeners in case and and watchers
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if you don't know brandon he's the director of
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our assurance services group so That covers information
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security, really readiness and audit work against
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common InfoSec framework. So PCI from the payment
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card industry, SOC2, ISO 27001, 27701, 42001,
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and some extensions and adjacents, and HITRUST.
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That's just one piece of that, right? To be able
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to audit against those frameworks, work with
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organizations to certify that they're in good
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standing with controls. You have to have technical
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expertise. You need to understand, you know,
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what's out there from an enterprise all the way
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down level and what's being leveraged at these
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organizations from a systems and application
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standpoint. And that's inclusive of AI now, right?
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So that's why he's such a good guest on this
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podcast today to talk about these things. this
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stuck out to you brandon you saw these partnerships
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you saw these announcements um what's the big
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important signal here for you yeah uh i think
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the and i was just thrown off i think my clock
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just behind me just broke i don't know if you
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saw on the back of it the hand just fell and
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that's powered by ai not powered by ai exactly
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um so i i think the big signal is that we're
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we're seeing a massive shift in you know not
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only just tasks, but enterprise -wide infrastructure
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changes that used to be relied on by the traditional
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entry -level employees, but also the middle -level
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management, are being completely replaced by
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AI. I think that there's a massive shift coming
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through of seeing, especially for executives,
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looking at every single thing that's done in
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the organization. all delivery lines right of
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where can we start to eliminate positions and
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where can we replace that with you know a more
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automated tool or artificial intelligence that
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doesn't you know um that doesn't uh you know
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have issues right in that in that actual delivery
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of the process um i i think that there's of course
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still kinks to be worked out but i think that
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there's it's we're already seeing that shift
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um and we can talk about that service now You
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know, partnership that you mentioned that that
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came out in the beginning of last week. You know,
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some of these integral workflows are being already,
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you know, radically changed from AI that used
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to just be manually created. So even just down
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to like support tickets and change tickets. Right.
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So it's really interesting to see. Yeah. And
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so I guess for. For our listeners who tune into
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this podcast, they're probably saying, okay,
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yep, seen that, right? That's all in place. But
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what I'm here for is how does this shift change,
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right, risk and assurance conversations for organizations?
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Yeah, I think it opens Pandora's box for managing
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risk, right? When you're talking about, you know.
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Yeah, well, sorry to interrupt your talk track
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there. And I should let you finish that thought
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and you will finish that thought. But maybe when
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you do finish that thought, I'd be interested
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in, I think it does and doesn't at the same time,
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right? Because humans are some of the biggest
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risk factors within organizations. But sorry,
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go ahead. No, it's a great point. It's a great
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ad because it is. interesting to think about,
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you know, humans, what's the old saying, right?
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Humans are, you know, the weakest point of security,
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right? If there's an opportunity for a control
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to fail with a human intervention, it's probably
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going to fail at some point, right? So I think
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there is that factor. But when you're incorporating
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any new technology, not even AI, right? Just
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let's look at over the last few decades of...
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newer technologies that have been introduced
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there's new risks that are introduced however
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while new risks are introduced there are new
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pillars that can be achieved or new business
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opportunities that can be expanded into at a
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at a rapid rate and and with ai it's a force
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multiplier at this point right there there are
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new ventures that businesses can tap into new
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opportunities that businesses can tap into that
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have never been explored at this scale right
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we're not talking about 2x 3x we're talking about
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10x, 100x, 1000x productivity and opportunities
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from a business scale, reaching customers, reaching
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delivery timelines that have never been able
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to be achieved at rapid pace, right? There's
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so many things that have been unlocked now with
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AI. So I think there's kind of two paths, right?
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There's the There's the output and scale opportunities
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with AI, but then there are the risks, some mitigated
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that I mentioned, like even taking humans out
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of the equation that you brought up, I think.
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And then there's also introducing new risks of
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ensuring your data is locked down. If you're
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going out to the internet to have search capabilities
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and things like that, that your data is not exfiltrated
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out or sent out or you're only reaching out to...
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outside of the boundaries, but your data cannot
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get out of those boundaries, right? So kind of
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a one -directional process. I think that's a
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big factor that a lot of people forget when they're
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developing different sandboxes and things like
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that to ensure that the data cannot be exfiltrated
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out of that instance. So I think that's a big
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risk. I think when it comes to... deployments,
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right? Having something, I know we've touched
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on this a little bit in some of our other podcasts
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is the governance piece, right? Organizations
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need to get to a point now where you're assigning
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roles and departments to manage the new AI tools
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that are out there, which is kind of ironic because
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there's layoffs happening. However, with AI,
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they're introducing new opportunities, right?
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New roles that need to be established. I think
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some of the smaller organizations are using the
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network security teams or server security teams
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or even the CISO role to govern the process for
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AI. I think it varies based on organization.
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But it is something that you have to be thinking
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about of the governance perspective of that.
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Yeah. How are you and I guess I should say just
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you and how you manage the team, how are you
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keeping up? Right, with AI and just how quickly
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it's changing, how fast, how quick it's being
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adopted across so many organizations. I mean,
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year -over -year audits are not the same anymore,
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I would expect, for most of your organizations.
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So how is that factoring into how you look at
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the year, you look at the 100 -plus, maybe even
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close to 200 audits that we do a year as a business?
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Yeah. What are you anticipating and manage off
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of with your team? Well, I think if we're talking
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in an audit vacuum, if you will, or maybe let's
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just focus on the audit realm. Audit vacuum.
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Yeah, the audit vacuum. The process of moving
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away from the year -over -year audits is, as
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you mentioned, moving closer towards the security
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as a continuous process, the continuous compliance,
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the continuous orchestration. as organizations
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deploy these you know tools or even let's say
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just a basic llm right it will start to um radically
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shift the culture of the organization for us
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to move from uh you know oh this is a one -time
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thing this is a one -time audit this is a one
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-time process too constantly evolving, constantly
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shifting of understanding, okay, what is the
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data that we have out there? What needs to be
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harvested? What needs to be mined? What needs
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to be protected? So constant validation becomes
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more and more important. What needs to be re
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-audited, exactly. And then you can look at it
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from a controls perspective, what needs to be
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continuously developed or refined, right? And
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I think the LLMs are... actually pretty good
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at that when it comes to you know incorporating
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it just depends on the security and how close
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you want it to get to your data right so so your
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audits maybe might still be at least they haven't
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shifted totally in that you know they still might
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be a one -time like audit point in a year but
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more of the controls more of what you're evaluating
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more of what you're even recommending for subsequent
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years is that continuous monitoring some sort
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of continuous checks need to start to take place
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no doubt no doubt and a lot of the security tools
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that are purchased on even whether they're off
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the shelf or custom a lot of them have uh you
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know ai modules built in who you know some organizations
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devil is what they're using on the back end a
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lot of them are just lms but a lot of them are
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are more in -depth um you know true agent -based
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um taking workflows to a new level right um so
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i think uh when it comes to control development
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control refinement we're going to see that that
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more continuous process that it's not the oh
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it's time to review our processes it's the beginning
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of the year or it's the middle of the year right
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we're we're now shifting to continuously updating
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those and then continuously ensuring that they're
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up to date which i think from a security perspective
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significantly improves the posture of the organization
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increases the maturity level of of you know the
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security realm if you will or the security department
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whatever the size of the organization is i think
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when it comes to control you know validation
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it's it's if it's always up to date the audit
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is not a big deal right when it comes i think
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where a lot of organizations struggle is if they
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have a one -time process for managing their program
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or checking their program, right, ensuring their
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controls are relevant, they're up to date. If
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you only have that one time, then you end up
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having stale processes for when the audit rolls
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around, you're having to talk with the team of,
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oh, wait, wait, who manages that? Who's handling
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that, right? What's still, what's out of date?
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That's out of date, right? What's been patched
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or what scans haven't been run, right? All of
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these things. But if you have, you know, AI modules
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built into your security program that are constantly
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checking your control, checking your processes,
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doing recurring tasks for you, right? And I think
00:12:56.500 --> 00:12:58.059
we're moving more into the agent side of the
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house. But having, you know, having some of those
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workflows built out, even having agents run recurring
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tasks for you within your security program that
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used to be security professionals doing for you
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that now can be replaced with AI, I think that
00:13:12.440 --> 00:13:14.299
makes the audit process a lot smoother. Wouldn't
00:13:14.299 --> 00:13:19.090
you agree? Yeah. Well, so let's see if we can
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segue this into 42 ,001 then. Do you feel that
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it calls for more given the nature of it and
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what it's certifying, continuous nature? I mean,
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ISO in general is about auditing a management
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system, not necessarily the ARI. So I guess maybe
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I'm answering my own questions there, but maybe
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you could allude to a little bit how 42 ,001
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is still relevant. It is. With the scenarios
00:13:46.220 --> 00:13:47.879
we're talking about where we're seeing more and
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more wide AI adoption and that maybe the models
00:13:52.379 --> 00:13:54.399
are already certified, but the organizations,
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is it relevant for them to get an AI or 42 ,001
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certification based on how they're leveraging
00:14:00.340 --> 00:14:04.690
it? I would argue that. As adoption for AI increases,
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the necessity for ISO 42001 also increases. Because,
00:14:09.490 --> 00:14:12.370
again, this is a governance framework. It's built
00:14:12.370 --> 00:14:15.649
on the process of as you are developing an AI
00:14:15.649 --> 00:14:18.409
management system on top of your information
00:14:18.409 --> 00:14:20.649
security management system, right, that there
00:14:20.649 --> 00:14:23.669
are attributes, there are controls, there are
00:14:23.669 --> 00:14:26.309
relevant requirements that you need to be thinking
00:14:26.309 --> 00:14:28.269
about when it comes to the boundaries of your
00:14:28.269 --> 00:14:31.929
AI management system that ISO 42001 touches.
00:14:32.590 --> 00:14:35.009
The biggest risk, we've been talking about risk,
00:14:35.149 --> 00:14:38.009
right? The biggest risk for AI adoption is not
00:14:38.009 --> 00:14:40.350
the speed. I think many people think the biggest
00:14:40.350 --> 00:14:43.909
risk is speed. I don't think it's speed. It's
00:14:43.909 --> 00:14:47.210
the lack of awareness of the governance requirements
00:14:47.210 --> 00:14:49.629
that you need to be thinking about when it comes
00:14:49.629 --> 00:14:53.309
to your tool deployment, right? So that starts
00:14:53.309 --> 00:14:55.529
from the build process. If you're building agents,
00:14:55.690 --> 00:14:57.970
if you're building workflows, be thinking about
00:14:57.970 --> 00:15:00.389
the security aspects and the governance elements
00:15:00.389 --> 00:15:03.299
that need to be incorporated. into the development
00:15:03.299 --> 00:15:06.220
of that AI management system, right? When it
00:15:06.220 --> 00:15:07.919
comes to any technology, right? We were talking
00:15:07.919 --> 00:15:09.960
earlier about other, you know, earlier times
00:15:09.960 --> 00:15:13.259
of technology deployment, right? Even the 2000s,
00:15:13.259 --> 00:15:16.539
the 2010s, any technology deployment, you wanted
00:15:16.539 --> 00:15:20.320
to incorporate security and compliance into the
00:15:20.320 --> 00:15:22.799
development, into the SDLC lifecycle, into the
00:15:22.799 --> 00:15:25.419
deployment process, into all of that, you know,
00:15:25.419 --> 00:15:28.980
the A to Z, the soup to nuts process of deploying
00:15:28.980 --> 00:15:32.529
a new service or a new tool. That has not changed
00:15:32.529 --> 00:15:34.690
with AI, right? I think it's just been enhanced
00:15:34.690 --> 00:15:38.830
to a greater level. And there's more things to
00:15:38.830 --> 00:15:41.090
think about, right, when it comes to that build
00:15:41.090 --> 00:15:44.710
process or the deployment process of that tool.
00:15:45.350 --> 00:15:48.129
That's a great analogy. I was thinking exactly
00:15:48.129 --> 00:15:49.470
what you're talking about, the sales development
00:15:49.470 --> 00:15:51.690
lifecycle and having some of that built -in security.
00:15:51.990 --> 00:15:54.889
And so I think I like how you put that. It's
00:15:54.889 --> 00:15:57.830
not the speed. It's the lack of governance, right?
00:15:57.950 --> 00:16:00.529
And the security mindset as you're building out
00:16:00.529 --> 00:16:02.429
or adopting or creating these agents or doing
00:16:02.429 --> 00:16:05.370
whatever you're doing with the AI. But I still
00:16:05.370 --> 00:16:07.909
think there's perhaps still a gap there. And
00:16:07.909 --> 00:16:12.330
it's like, well, who knows how to do that? Right?
00:16:12.690 --> 00:16:18.029
You might. If I'm building an agent for the sales
00:16:18.029 --> 00:16:23.269
compliance point, I could absolutely build something
00:16:23.269 --> 00:16:25.350
that's maybe... not secure because i don't know
00:16:25.350 --> 00:16:27.330
so i guess a big component there is education
00:16:27.330 --> 00:16:30.250
and training and if you're an organization that
00:16:30.250 --> 00:16:35.629
wants to adopt it take the added step of getting
00:16:35.629 --> 00:16:40.470
some sort of education a training awareness on
00:16:40.470 --> 00:16:43.710
how to input or incorporate security into the
00:16:43.710 --> 00:16:47.250
build out yes that's a great point the the education
00:16:47.250 --> 00:16:50.850
and the training is fundamental right and When
00:16:50.850 --> 00:16:53.169
it comes to any technology, you want the technology
00:16:53.169 --> 00:16:55.750
to empower the process or to enhance the process.
00:16:55.809 --> 00:16:57.970
When you're developing a process, right, you
00:16:57.970 --> 00:17:00.710
want training and education to be incorporated
00:17:00.710 --> 00:17:03.700
directly in that. before you get to the deployment
00:17:03.700 --> 00:17:05.319
process, right? So let's say you're doing user
00:17:05.319 --> 00:17:07.460
testing or let's say you're doing a pilot testing.
00:17:07.579 --> 00:17:11.039
You want to start educating the necessary individuals
00:17:11.039 --> 00:17:13.819
that are going to be both using the tool and
00:17:13.819 --> 00:17:16.240
managing the tool. And this applies to anything,
00:17:16.440 --> 00:17:18.700
right? Not just AI. This applies to any tool
00:17:18.700 --> 00:17:21.440
deployments, right? When you're looking at secure
00:17:21.440 --> 00:17:23.920
development and security focused development
00:17:23.920 --> 00:17:26.480
of any tool, right? You want to incorporate the
00:17:26.480 --> 00:17:28.940
users and the administrators or the people that
00:17:28.940 --> 00:17:31.400
are managing the tool. right there from the get
00:17:31.400 --> 00:17:33.119
-go, right from the beginning, so that they are
00:17:33.119 --> 00:17:36.579
aware of the tool's capabilities, but also the
00:17:36.579 --> 00:17:38.900
kicker, the guardrails. And we're talking about
00:17:38.900 --> 00:17:41.799
risks. The guardrails are just as important,
00:17:41.920 --> 00:17:43.599
if not more important, than the capabilities
00:17:43.599 --> 00:17:46.420
of the tool. Because when you're talking about
00:17:46.420 --> 00:17:48.480
data security, data protection, and a lot of
00:17:48.480 --> 00:17:51.839
these governance elements that ISO 40001 focuses
00:17:51.839 --> 00:17:55.509
on, the guardrails are... critical, right? You
00:17:55.509 --> 00:17:57.869
have to ensure that your data is protected. And
00:17:57.869 --> 00:17:59.849
that all starts with the guardrails that you
00:17:59.849 --> 00:18:02.569
develop within the tool, because it's great if
00:18:02.569 --> 00:18:04.170
you have all these capabilities with a tool,
00:18:04.190 --> 00:18:06.869
but once your data is leaked out, that puts all
00:18:06.869 --> 00:18:11.269
of that to shame. Yeah. Well said. I think that's
00:18:11.269 --> 00:18:14.210
a good point to end, unless you got anything
00:18:14.210 --> 00:18:18.930
else you want to add. No, I think just to go
00:18:18.930 --> 00:18:21.470
back to your first comment, as I think about
00:18:21.470 --> 00:18:25.069
some of these layoffs, UPS, Amazon, some of these
00:18:25.069 --> 00:18:28.009
other ones that are out there, it really is interesting
00:18:28.009 --> 00:18:32.369
to see how the landscape is changing. And I think
00:18:32.369 --> 00:18:38.069
to the society at large, to those that are charged
00:18:38.069 --> 00:18:41.269
with governance right now, I would say be careful
00:18:41.269 --> 00:18:46.640
with not the speed, but again, the... guardrails
00:18:46.640 --> 00:18:49.259
that you're putting in, the risks that you are
00:18:49.259 --> 00:18:52.200
developing your tool with, right, that need to
00:18:52.200 --> 00:18:54.920
be thought about. So just when you're developing
00:18:54.920 --> 00:18:58.299
a new tool, if you're thinking about using a
00:18:58.299 --> 00:19:02.180
new AI model or developing a new AI model, be
00:19:02.180 --> 00:19:04.920
careful of the risks. The capabilities are there.
00:19:05.000 --> 00:19:08.250
We know that, right? Be cognizant of some of
00:19:08.250 --> 00:19:10.769
these requirements, whether it's an ISO 42001
00:19:10.769 --> 00:19:12.829
or some of these other frameworks that are out
00:19:12.829 --> 00:19:15.490
there, right, that are continuing to come out
00:19:15.490 --> 00:19:17.210
in the marketplace. I know there's, you know,
00:19:17.230 --> 00:19:20.250
the NIST AI RMF. If you're doing HITRUST, there's
00:19:20.250 --> 00:19:22.069
HITRUST AI controls. There's so many out there
00:19:22.069 --> 00:19:25.390
now that are relevant to your organization. But
00:19:25.390 --> 00:19:28.529
just, you know, be cognizant of what needs to
00:19:28.529 --> 00:19:32.049
be, you know, considered when you're deploying
00:19:32.049 --> 00:19:36.039
a new tool. Yeah. That's great. This has been
00:19:36.039 --> 00:19:38.819
really good. I think listeners are going to get
00:19:38.819 --> 00:19:42.819
a lot out of it. I would say if they're seeking
00:19:42.819 --> 00:19:45.220
those things, education, consultant, advisory
00:19:45.220 --> 00:19:47.599
on how to build that security from the get -go
00:19:47.599 --> 00:19:51.359
or how to ready for an audit against ISO, for
00:19:51.359 --> 00:19:55.900
instance, 42001, to get a management system in
00:19:55.900 --> 00:19:58.380
place and then ultimately certified, please don't
00:19:58.380 --> 00:20:01.190
hesitate to reach out. The easiest place to find
00:20:01.190 --> 00:20:03.750
us is compliancepoint .com. There's an email
00:20:03.750 --> 00:20:07.170
distro that should be easy to spot on there,
00:20:07.289 --> 00:20:09.910
but if you can't for some reason, it's connect
00:20:09.910 --> 00:20:12.529
at compliancepoint .com. You can email into that,
00:20:12.549 --> 00:20:17.089
and that's monitored pretty much all business
00:20:17.089 --> 00:20:22.130
hours of the day. Yeah, you send an email into
00:20:22.130 --> 00:20:24.329
that. You'll hear from us usually within five
00:20:24.329 --> 00:20:27.609
minutes, and hopefully we can provide some value
00:20:27.609 --> 00:20:30.490
for you. Brandon, thanks. I'm sure I'll be talking
00:20:30.490 --> 00:20:33.170
to you again on this podcast and all our listeners
00:20:33.170 --> 00:20:35.690
and viewers. Be well. Yeah, I appreciate you
00:20:35.690 --> 00:20:37.069
having me on, Jordan. Thanks again.