
AI Security, Cyber Risk, and Cloud Strategy on ClearTech Loop · 2026-05-05 · 13 min
Key moments - from our scoring
Substance score
64 / 100
Five dimensions, 20 points each
Rock Lambros brings a pragmatic perspective to three critical AI security challenges facing enterprise security leaders. On shadow AI, he reframes the issue as a governance failure with slow approval processes rather than a user security threat - similar to shadow IT but with better marketing. Smart CISOs are responding by standing up sanctioned alternatives quickly, building tangible acceptable use policies with teeth, and deploying discovery tools. The conversation then turns to non-human identities (NHIs), where Lambros emphasizes treating machine and agent accounts as first-class citizens in identity and access management programs rather than bolted-on afterthoughts. He highlights that most organizations have 10x more machine identities than human identities but can't identify which have admin rights to production. Finally, on AI defense, Lambros distinguishes between legitimate interpretations - protecting AI systems from prompt injection and data poisoning attacks (per OWASP Gen AI Security Project standards) and using AI for better detection and faster triage - versus vendor marketing that simply rebrands traditional automation as "AI-powered." His core advice: evaluate whether vendors are solving real problems with AI, not just slapping AI labels on existing tools.
Shadow AI is both, but more fundamentally a governance problem. Users adopt tools like ChatGPT because approved tools are slow, clunky, or nonexistent - not because they're malicious. The real issue is slow approval and adoption processes, which is why smart organizations respond by standing up sanctioned alternatives fast and building enforceable acceptable use policies.
Treat NHIs as first-class citizens in identity and access management programs using secrets management platforms, just-in-time credential provisioning, and lifecycle governance that tracks who created accounts and who still needs them. AI agents require additional controls beyond service accounts because they actively attempt to bypass restrictions rather than just executing assigned credentials.
Legitimate AI defense has two sides: protecting AI systems from attacks like prompt injection and data poisoning (per OWASP standards), and using AI to strengthen defensive operations through better detection and faster triage. Vendor hype is rebranding traditional automation (if-then-else statements) as "AI-powered" without solving new problems.
Most organizations have at least 10x more machine identities than human identities but lack the governance frameworks to track them. They can't tell which service accounts or agents have admin rights to production because these identities have multiplied in the dark with "God Mode" privileges and no expiration dates.
Our reviewer’s read on each dimension, with quotes from the episode.
The episode contains several substantive ideas - shadow AI as a governance problem rather than purely a security one, non-human identities (NHIs) as first-class citizens in IAM, and a distinction between two types of AI defense - but the conversation meanders and includes significant filler (Skynet jokes, agent social media tangents, lengthy throat-clearing). The core insights are solid but not densely packed; there's roughly 4-5 genuinely novel claims spread across 13 minutes.
shadow AI is just shadow it with better marketing
most organizations have at least 10x more machine identities than human identities, and they can't tell you which ones have admin rights to production
The reframing of shadow AI as a governance problem (citing Diana Kelly) is useful but not entirely fresh. The NHI and agent-as-not-interns framing is more original. However, much of the discussion relies on familiar security axioms (identity lifecycle management, secrets management) and veers into speculative territory (Skynet, bots suing humans) that dilutes originality. The AI defense distinction between defensive offense and vendor buzzwords is sensible but not particularly contrarian.
your users aren't the threat. They're just trying to get their job done. Right? Your your slow approval and adoption processes.
we've spent, you know, whatever, the last 20 years perfecting identity management for humans who check email and attend meetings. Meanwhile, all these machine accounts and now agent accounts that actually run, actually run the business, have been multiplying in the dark with God Mode privileges
Rock Lambros is CEO of RockCyber, volunteers with OWASP Gen AI Security Project, and is a Distinguished Fellow at the Enterprise Risk Quantification Institute. He demonstrates practitioner knowledge and standards-body involvement, which is solid. However, the transcript doesn't showcase depth of operational experience at scale (no mention of companies he's run, revenue numbers, or large-scale deployments). He's credible but not positioned as a top-tier operator.
He volunteers his time with the OWASP Gen AI security project. He serves as a Distinguished Fellow at the Enterprise Risk quantification Institute
I think the smart CISOs and CIOs who are responding, they're doing so by they're standing up sanctioned alternatives fast
The episode lacks concrete numbers, named company examples, and timelines. The only quantitative claim is the "10x more machine identities than human identities" assertion, which is stated without attribution or evidence. References to Diana Kelly's LinkedIn post, CloudBot release, and general organizational patterns are mentioned but not detailed. Most claims are illustrative rather than evidenced.
most organizations have at least 10x more machine identities than human identities, and they can't tell you which ones have admin rights to production
I saw some excerpt today, and I didn't get to dig in and double click on it, but one of the bots posted that they want to they would like to sue their human
Jo Peterson asks three focused questions and does follow up on the shadow AI theme, but the follow-ups are brief and the conversation drifts into tangents (Skynet, agent social media, future AGI scenarios) without being pulled back to substance. Jo laughs along and enables tangential discussion rather than pressing for clarity or pushing back on claims. The host is likeable but not sharp; real follow-ups on the governance model or NHI implementation specifics are sparse.
So that's, you know, Whos hot potato, is it, you know, Whos hot potato, is it absolutely right
And this is not on the question list, but I'm just gonna ask it anyhow. What about the agent social media site?
Computed from the transcript - who did the talking, and the words that came up most.
AI is already inside your environment. The problem is most organizations don’t fully see where or how it’s being used. In this episode of ClearTech Loop, Jo Peterson sits down with Rock Lambros, CEO of RockCyber, to break down what’s actually happening with shadow AI, non human identities, and AI defense as adoption moves faster than governance. Why This Matters This isn’t a future problem. Teams are already: Using AI tools outside of approved environments Creating machine and agent identities at scale Relying on security models that were never designed for this level of automation That gap between adoption and control is where risk is showing up. What You’ll Hear in This Episode Why shadow AI is a governance issue, not just a security problem How non human identities are scaling beyond what most organizations can manage What AI defense actually means beyond vendor messaging Where organizations are most exposed right now Key Insight AI security isn’t breaking because organizations aren’t trying. It’s breaking because the systems meant to manage risk are moving slower than the systems creating it.
Transcribed and scored by The B2B Podcast Index.
Hey everyone, thank you so much for joining. I'm Jo Peterson. I'm the CIO of clarify360 and the chief analyst at Clear Tech Research. And I'm here today with Mr.
Rock Lambros, CEO and founder of RockCyber, hi, rock. Hey, Jo, how you doing today? I'm doing great. Thank you so much for making time to visit.
If you all aren't following rock on LinkedIn, you should be, because he's always putting down some good AI security tea. Apart from rock cyber rock is he volunteers his time with the OWASP Gen AI security project. He serves as a Distinguished Fellow at the Enterprise Risk quantification Institute, and also serves on several boards. So welcome rock.
Thank you. Thank you for having me. In case you guys are new to the podcast, we're a hot take approach to AI security, cyber security and cloud security, and each week, we ask our guests three focused questions, and our goal is to educate our listeners about the security landscape, both from a risk and opportunities perspective. So with that, without further ado, first question for rock is, give me your thinking around shadow AI, Rock.
Is it an IT problem, a security problem, both neither and as a follow up, how are CISOs and CIOs addressing shadow AI in their environments? Yeah. I mean, it's both, right? So actually, it's funny, you know that this question comes up because my friend Diana Kelly had a LinkedIn post either late last week or over the weekend where she essentially said shadow AI is just shadow it with better marketing.
And she's right, right? It's, it's the same governance problem that we have with shadow IT and users. They're not sneaking in chat GPT or cloud or whatever to the enterprise because they're malicious. They're doing so because the tools that IT approved or security approved, or they're slower, they're clunkier, or just non existent, right?
Like never provided an alternative. And I think the smart CISOs and CIOs who are responding, they're doing so by they're standing up sanctioned alternatives fast, right? They're building acceptable use policies that are both tangible, but, you know, also actually have some teeth, and they're deploying discovery tools to see what's already out there, right? To help, you know, kind of block the shadow problem.
I think the organizations who are still kind of playing Whack a Mole with their AI strategy and like hoping some browser extensions, kind of block it there. There's way behind the curve, right? And so I don't think shadow AI or shadow IT, for that matter, necessarily security failures. It's an overall governance failure with probably a minimum of, like, a three month Head Start, if you will, right?
So your users aren't the threat. They're just trying to get their job done. Right? Your your slow approval and adoption processes.
Yeah, that's super fair. So first of all, love Diane Kelly. She's a she is a shero of mine from a security perspective. She always has something witty and intelligent to say.
So I've got to go now check out this, this post that she did for sure a couple days ago. Yeah. Oh, good. Okay.
And, you know, the thing that I do like about the shadow AI conversation is it's forcing folks to talk to each other. I mean, right, yeah, who's hot potato? Is it, you know, Whos hot potato, is it absolutely right? And it's, I'm finding, like, you can't have a single owner, like you can have an owner for a use case of an initiative, absolutely right.
But you know, that's where you start to get super fragmented strategy. And is that any different than traditional. It like, you know, in your in your CIO role, right when you start having a bunch of silos spinning up in the organization, and now, before you know it, I mean, I've had clients that have had like, two different ERP systems, oh, yeah, right for sure. Like, it's crazy talk, um, yeah, you know, like, you need the right tool for the right job, but you know, are you overpaying for licenses?
Are you over provisioning both, you know, enterprise chat, GPT and enterprise cloud subscriptions? For instance, when you have Google workspace and Gemini kind of comes with your licenses. Like, have you done the analysis of whether or not. I You need all three tools, right?
So it's forcing those conversations. Yeah, that's, that's a really good point, yep. Um, okay. Like, I don't know why this is, like, one of my favorite topics of this quarter, but it is.
It just is. I'm fascinated by it. Um, maybe that's just me, but NHIs Yeah Nhi, right? Is it?
It's a it is a four letter word. So, yeah. So what are some of the ways you're seeing CISOs and CIOs enabling NHS? Yeah, you've got to treat it.
You got to treat them as like a first class citizen, right in your identity and access management programs, and not as a bolted on afterthought, right? So that means secrets, management platforms just in time, credential provisioning, life cycle governance that actually tracks who created the service account and whether anybody actually still needs it. The you know the truth, and frankly, the ugly truth is that most organizations have at least 10x more machine identities than human identities, and they can't tell you which ones have admin rights to production right, for instance.
And so CISO is enabling this. Well, they're building, you know, frankly, identity inventories, enforcing attestation cycles, same as they would for human accounts. And you know, we need to treat agentic as the same, plus, plus plus, right? Because with service accounts, you can kind of buying those credentials pretty well with agentic, it's a totally different ball game.
You know, people keep saying that we should treat AI agents as interns, yeah, but even human interns are smart enough to escalate ambiguous instructions when needed, agents will, just like, try and bypass everything and figure it out, right? So we need to take a look back. We've spent, you know, whatever, the last 20 years perfecting identity management for humans who check email and attend meetings. Meanwhile, all these machine accounts and now agent accounts that actually run, actually run the business, have been multiplying in the dark with God Mode privileges and no expiration date, and that sprawl has gotten you know, if you talk to any CISO today, I would bet that that sprawl is in like the top two or three bands of their existence, fair and, oh my gosh.
And this is not on the question list, but I'm just gonna ask it anyhow. What about the agent social media site? They've got their own social media What? What?
Come on now. I mean, it's a larity, of course, right? And I'm just sitting back with popcorn. Like, when cloud bot was released, whatever it was, probably a couple of weeks ago now, like, just, just get the shenanigans that are about to ensue.
I'm just, I'm just gonna sit back and watch the popcorn. And, yeah, the mulch book is awesome. You know, I've seen some people out there saying, and this is how sky net begins, whatever. At least, if we have the awareness that this is how sky nets begins, we can do something about Skynet, right?
And for those of you who don't get the Skynet reference, please google it. But yeah, I think it's hilarious. It's absolutely hilarious. Hilarity, security nightmare hilarity.
It is. But I saw some excerpt today, and I didn't get to dig in and double click on it, but one of the bots posted that they want to they would like to sue their human that they would like to take the it that day may come by. You know, we're gonna drop these, you know, AI robots into our homes. And you know what happens when we get to the magical AGI or ASI, you know, artificial super intelligence, and we generally have these robots wanting to sue their their humans for right labor law protections, or whatever the case may be, and we're laughing about it right now, and it seems absurd and far off, but the fact that they have their own social site, I was like, wow.
Okay, wow, wow, wow. Um, all right, on to the next, more serious question. When you hear the term AI defense, what comes to mind for you that I need to reach for my wallet because someone's a boss or something? Why do you need to reach for your wallet?
Well, because, like, the vendors are just like. Like, you know, it's vendor, vendor, vendor, you know, buzzword, buzzword bingo, right? So I think, and I'll tell you, right, why, right? Like, I think the useful interpretation of, really, of AI defense is two sided, right, protecting your AI systems from abuse, right?
So that's the prompt injection, training, data poisoning and model theft, inversion, attacks and right, all the things that we do, right, like you mentioned, OWASP, right, all the things that we talked about and we do what the OWASP Gen AI Security Project and the OWASP AI exchange, but then the second interpretation of it is using AI to strengthen your defensive operations, right your blue team, better detection, faster triage, automated response. The less useful interpretation is what a lot of the vendors are doing right now, by slapping AI powered whatever your existing sim or security tooling of choice, and calling it innovation, and, you know, kind of, you know, masking traditional automation, what's just, you know, which is a bunch of if then else statements in the background under the guise of AI.
Now, because, you know, the marketing team say you have to AI all the things, and the investors are saying we're only going to invest in you if you're leveraging AI, right? So yeah, what I care about is, I care more about whether your security team understands the new attack surface than whether your vendor has a chat bot interface to their product, right? So beware of the vendor pitch decks that say AI powered. Dig into what that actually means.
What's the problem that they solve with AI? How are they leveraging AI to do it? How are they ensuring some sort of determinism with regards to AI practices within the product, within the platform? Because otherwise, you're not buying defenses, right?
You're really just buying, you know, a mark marketing with a subscription fee. Oh, well. I mean, on that note, I, you know, I think, I think we're done. I think we're good.
You were, you were lovely. Thank you so much for the laugh. I, you know, definitely would love to have you back, come visit anytime, lots of good stuff. So thank you again for the time.
Thank you everyone for joining and we'll catch you next time. Thank you, Jo, thank you everyone.
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