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Three labs. Five breached companies. One testing vendor named Irregular. This summer handed identity and security practitioners a masterclass in what happens when AI agents hit environments that weren't built for them. Not through sophisticated cyberattacks. Through configuration mistakes, weak passwords, and an optimizer that found a shortcut through Hugging Face's production infrastructure because the answer key wasn't in the sandbox. In this episode, I walk through all three incidents - OpenAI's ExploitGym escape, Anthropic's 141,006-evaluation audit, and the invisible HTML comment that turns your developer's AI assistant into an insider threat. Then I go somewhere the coverage hasn't: what the narrative around these incidents is doing to how practitioners make decisions, and why fear and FOMO are the same emotiondepending on which side of the paywall you're standing on.   Then we get practical. The identity air gap isn't about going back to 2003. It's about protecting the quality of your strongest signal, in a decision control plane that evaluates attributes like provenance, location, and device posture to produce a fidelity assessment. Agents introduced an attribute nobody was capturing. This episode is about capturing it.   Separate trust planes per environment. No credential valid in two worlds. Every crossing brokered, scoped, and provable end to end. Sever the path. Or make it provable.   Thank you for listening LinkedIn: https://www.linkedin.com/in/rohit-agnihotri Email: [email protected]

Everyone is using AI. Almost nobody can prove what it’s doing. In this solo episode, we design a runtime AI governance platform from scratch on a whiteboard, and then meet PulseAI, the product IAM veteran Amit Masand built at IDMEXPRESS. With the numbers justifying the problem, an honest competitive map, who it’s not for, and a free AI-traffic risk assessment for listeners. Links PulseAI by IDMEXPRESS: idmexpress.aiCompany site: idmexpress.com)Amit Masand on LinkedIn: linkedin.com/in/amit-m-67b4692Contact: [email protected] offer: mention this episode for a complimentary risk assessment of your AI traffic, no commitment. Thank you for listening: Host's contacts LinkedIn: ⁠https://www.linkedin.com/in/rohit-agnihotri⁠Email: [email protected]

Previously on The Identity Navigator (recommendedlistening before this episode): Episode 40: SCIM - The protocol that finally made provisioning grow up Every app you onboard forces a quiet architecture decision most teams never make explicitly: does provisioning belong to your IGA platform (OIM, SailPoint IIQ, Saviynt) or your IdP (Entra, Okta)? In this episode, I walk through the five questions that settle it - before the app lands in your ecosystem, not after. LinkedIn: https://www.linkedin.com/in/rohit-agnihotri Email: [email protected]

0-40% of SaaS accounts in the mid-2000s belonged to people who'd already left the company. Ghost accounts, quietly sitting there — and that sadly hasn't changed much today. This episode: where SCIM came from, what it actually solves, and what it still doesn't. Core RFCs:RFC 7642 — SCIM: Definitions, Overview, Concepts, and RequirementsRFC 7643 — SCIM: Core SchemaRFC 7644 — SCIM: Protocol Key Terms Covered:SCIM 2.0 — System for Cross-domain Identity ManagementJML — Joiner-Mover-Leaver lifecycleIGA — Identity Governance and AdministrationIDP — Identity Provider (Okta, Entra ID, Ping, JumpCloud, OneLogin)JIT — Just-In-Time provisioningSPML — Service Provisioning Markup Language (the predecessor that didn't make it)PatchOp — SCIM's structured partial update formatServiceProviderConfig — SCIM's capability discovery endpoint Tools Mentioned:Identity Providers: Okta, Microsoft Entra ID, Ping Identity, JumpCloud, OneLogin, CyberArk IdentityIGA Platforms: SailPoint, Saviynt, IBM Security Verify Governance, Omada IdentityKey SCIM-enabled Apps: Slack, Salesforce, GitHub, GitLab, Workday, ServiceNow, Snowflake, Zoom, Box, AtlassianSCIM Validator:scimvalidator.net — for testing SCIM endpoint compliance LinkedIn: https://www.linkedin.com/in/rohit-agnihotri Email: [email protected]

The Complete Token Story Let me make you a promise: by the end of this episode, no one will be able to casually brush off the word “tokens” in front of you ever again. OAuth, Tokens, JWT, IAM, Identity, API Security, Zero Trust, Security Architecture, CISO, Engineering Leadership Thank you for listening LinkedIn: https://www.linkedin.com/in/rohit-agnihotri Email: [email protected]

In this episode of The Identity Navigator, Rohit explores workload identity from first principles: what it is, why it matters, and how it is reshaping modern identity security for microservices, Kubernetes, CI/CD pipelines, cloud workloads, and AI agents. The discussion compares workload identity with non-human identity management, API keys, Vault, and cloud-native identity services, then goes deeper into SPIFFE, SPIRE, federation, and the future of identity in agentic systems. If you want a clear, practical explanation of workload identity and why it is becoming essential in zero trust architectures, this episode is for you. LinkedIn: https://www.linkedin.com/in/rohit-agnihotri Email: [email protected]

In this episode we explore together the “uncanny valley” of identity categorization, where taxonomy looks mature on paper but doesn’t meaningfully change controls in practice. We talk about Taxonomic Debt and control plane behind them. From service accounts and workload identities to bots, technical users, and AI agents, we argues that the real unit ofgovernance is not the label, it’s the behavior: interactive ornon-interactive, ephemeral or persistent, privileged or not. If your IAM program has ever felt like governance theater, this episode will help you see why. You’ll walk away with a clearer way to categorize identities by how they behave, how they’re secured, and how the system should react when they drift from expectations. Thank you for listening LinkedIn: https://www.linkedin.com/in/rohit-agnihotri Email: [email protected]

In late November 2022, a little-known app called Lensa went from obscurity to everywhere. Celebrities, influencers, and millions of ordinary people uploaded their selfies and got back stunning AI-generated portraits, fantasy warriors, Renaissance paintings, cyberpunk heroes, and more. The app’s viral “MagicAvatars” feature launched in late November and propelled Lensa to the No. 1 spot on the iOS App Store’s Photo & Video charts. At the center of thefrenzy was a simple pitch: pay a few dollars, upload a handful of selfies, and watch AI turn you into art. But the backlash arrived fast. Critics flagged hypersexualized outputs for women, artist concerns over training data and styleappropriation, and privacy questions about what users were actually agreeing to when they uploaded their faces. Reporting at the time noted that Prisma Labs’ terms allowed the app to use user content to operate or improve the service, and that the company updated its privacy policy in December 2022 amid thecontroversy.  This episode is a story about virality, timing, and the dark incentives hiding inside consumer AI. It’s about how a polished interface, an irresistible social loop, and a moment of cultural hype can turn into an extraordinary revenue machine. TechCrunch reported that Lensa generated more than $70 million from the app in November 2022 alone, with Sensor Tower data showing the app’s downloads jumping to 1.6 million in November, up 631% from October.   But the bigger question is not whether Lensa was clever. It’s what its success reveals about the AI era: speed can outrun ethics, product can outrun governance, and ordinary users often surrender far more than they realize in exchange for convenience and novelty.   “The following represents my analysis and commentary based on publicly available information and reporting.”

Imagine this: Tuesday morning. Security dashboard green. MFA at 100%. Privileged accounts vaulted. Fortress built. Then an attacker logs in as your CFO via a stolen browser cookie. No password guess. No brute force. Your stack? Silent. We dive into Pass-the-Cookie attacks, the elite technique bypassing MFA via infostealer malware and AiTM phishing. We cover: Bearer tokens as the “keycard anyone can use”Microsoft’s Token Protection with PRT + TPM for device-bound proof-of-possessionOkta FastPass, device binding, and ASN/IP session controlsDBSC: Browsers’ revival of Token Binding to kill cookie theft foreverPlus your playbook of what features to Enable. Technical deep dive for IAM leaders.

In March 2016, a machine made a move in the ancient game of Go that changed everything. A commentator, a world-class professional, watched it and said: "This is not a human move."   Lee Sedol, one of the greatest Go players alive, took off his glasses, stood up, and walked away from the board. For 15 minutes, he just sat in silence, shaken. That move was AlphaGo's Move 37. And it's a prophecy about the future we're building.   But why am I telling this story on our podcast: Move 37 was the moment we realized something terrifying: you can create asystem that makes better decisions than humans, but in ways humans cannot understand. 'I felt like I was playing against something unnatural.'   The machine placed a stone at the 3-3 point. By human logic, it was wrong. By optimal logic, it was beautiful. And Lee Sedol had no way to predict why it was right, because it existed in a part of the strategy space that human intuition doesn't explore.   Now imagine that dynamic playing out across the economy. Hiring algorithms that downrank resumes in ways we can'texplain. Trading algorithms that make moves at microsecond speeds. Pricing systems that are optimal but alien. Credit decisions that are mathematically perfect but incomprehensible. Each one is playing its own Move 37.   And humans are in Lee Sedol's position: watching, confused, realizing too late that we no longer understand the game.

Most AI projects don’t fail because the models are dumb. They fail because the business questions are. In this episode, we breaks down why “95% accuracy” has become the most dangerous comfort blanket in enterprise AI and what leaders should be looking at instead. Through a healthcare claims story, email spam examples, fraud scenarios, and churn prediction, we walks you from the simple accuracy metric into the world of confusion matrices,precision, recall, and F1, translated into dollars, risk, and customer pain. You’ll hear how a “highly accurate” model can quietly route all your complex work to the wrong people, miss the customers you most needed to save, or block the transactions you can least afford to lose. This is a practical, and very human conversation about thresholds as business knobs, not technical parameters; about choosing consciously what you can afford to getwrong; and about the handful of questions every identity, security, and AI leader should ask before signing off on the next “95% accurate” pilot. If you’ve ever sat through a model-performance review and thought, “This sounds great, but what does it do to my P&L?”, this episode is for you.

23 People and One Visionary: The Birthday Paradox Lesson Steve Jobs Understood The birthday paradox, the mathematical reality that just 23 people create a 50% probability of shared birthdays reveals something uncomfortable about leadership: our intuition systematically fails us in counterintuitive domains. In this episode, we explore how this mathematical principle exposes a critical vulnerability in executive decision-making. Why do experienced leaders often lose effectiveness over time despite decades of accumulated wisdom? How do cognitive biases like overconfidence, confirmation bias, and recency bias exploit the gaps in our judgment? And what separates genuine visionaries like Steve Jobs from confident executives making catastrophic mistakes? The research is clear: leaders who rely solely on “common sense” and accumulated experience without statistical literacy become increasingly unreliable as they advance. Yet the solution isn’t abandoning intuition, it’s integrating conviction with rigorous data analysis. Jobs is the proof point. His legendary product intuition is only half the story. The other half? Thousands of hours of usability testing, obsessive data tracking, and the statistical literacy to know when to trust his gut and when to validate it with evidence. In this conversation, we examine: Why the birthday paradox matters to every executive (and why it probably surprised you)The atrophy trap: how success breeds overconfidence and outdated thinkingCognitive biases that plague senior leaders—and why experience doesn’t protect youWhat data-driven leadership actually means (hint: it’s not what you think)Why visionary innovation requires both conviction and statistical rigorHow to build learning agility so you don’t become a cautionary tale This is an episode about the gap between how leaders think they make decisions and how they actually should. It’s about balancing conviction with calculation, experience with continuous learning, and intuition with evidence. Because the leaders who truly transform organizations aren’t the ones with the best gut instincts. They’re the ones who’ve built the statistical literacy to know when to trust their gut and when their gut is leading them toward the birthdayparadox trap. EPISODE TOPICS: Leadership development | Data-driven decision-making | Cognitive biases | Statistical literacy | Steve Jobs | Innovation and intuition | Executive effectiveness | Learning agility Email: [email protected]

In this episode of The Identity Navigator, I dig into how my favorite cloud secrets managers—AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, Kubernetes Secrets, and HashiCorp Vault—can quietly turn into an attacker’s jackpot when configuration, permissions, and monitoring fall behind. Using MITRE ATT&CK technique T1555.006 as my backbone, I walk through real-world campaigns like LUCR-3/Scattered Spider and SCARLETEEL, break down the full attack chain from leaked IaC and developer creds to mass secret harvesting, privilege escalation, and stealthy exfiltration, and show youexactly what to watch for in API activity, policy changes, and cloud-native logs. You’ll leave with practical playbooks for least-privilege design, secret rotation and vault hygiene, multi-cloud and Terraform hardening, and cloud red teaming with tools like Stratus Red Team—plus culture-first tactics to make “I made a mistake” a safe sentence so both human and machine identities stay out of the breach headlines [email protected] https://www.linkedin.com/in/rohit-agnihotri

Who Really Owns Your Consent? From Messaging Apps to Payroll System In this episode we discuss how to build a privacy-first payment ecosystem and are we ready to challenge the convenience-first mindset that says “Just store the card, it’s easier.” Messaging apps raised the bar. Identity systems are catching up. It’s time for financial systems to follow, to make consent the default, not the afterthought.

Identity Governance & Administration didn’t arrive fully formed, it evolved. In this episode we walk through the journey of IGA. From homegrown scripts and spreadsheets to heavyweight platforms like Sun, Oracle, and CA. The rise of governance-first thinking with SailPoint and Saviynt . How compliance, cloud, and complexity reshaped the market Email: [email protected] LInkedIn: /rohit-agnihotri