How AI is transforming IAM security

Data. Identity. Sovereignty. In the age of AI and automation, these aren’t just cybersecurity terms, they’re the last lines of defense for our humanity. We’ve entered a world where algorithms know more about us than our closest friends. Where our digital identities can be cloned in seconds. And where “data breaches” no longer just mean lost records — they mean lost selves. The scary part? Every swipe, click, search, and submission contributes to an identity that is co-owned by the platforms we use, the companies we work for, and the systems that train on us. So I’m bullish in saying, security in the age of AI is no longer about protecting systems. It’s about protecting sovereignty and reducing exposure. And that’s why CDOs, CIOs, and CISOs must unite like never before. 🙏🏼The CIO can’t just think infrastructure. 🙏🏼The CDO can’t just think data quality. 🙏🏼The CISO can’t just think threat response. They must unite and think together — because our data, identity, and intellectual property have merged into one digital ecosystem. And that’s why, we created the ☄️AI Security School ☄️- new kind of institution designed to equip leaders and organizations to protect what matters most: identity, IP, and data in an AI-driven world. Our mission is simple but non-negotiable: ✅ Build governance that scales with automation. ✅ Create security frameworks that evolve as AI evolves. ✅ Empower every function — not just IT — to understand what security means in this new era. Because this isn’t a “nice-to-have” it’s now an operational imperative. 💡 Recommendation 1: Audit your organization’s AI exposure — where models are learning from your data without permission. 💡 Recommendation 2: Establish joint security councils with CDOs, CIOs, and CISOs — AI risk doesn’t belong to one function anymore. 💡Recommendation 3: Enroll in our newly established AI Security School Protect your data. Protect your identity. Protect your sovereignty. Because in the end — security is what will determine whether AI scales humanity, or erases it.

Traditional security models built for humans simply can't keep up. This article makes a compelling case: identity is now the non-negotiable foundation of AI security. At One Identity, we couldn’t agree more. Our solutions are built to: -Secure both human and non-human identities -Enforce least-privilege access dynamically -Replace static credentials with ephemeral, centrally managed ones -Provide real-time monitoring and auditability across all identities -Integrate seamlessly into IAM workflows, including AI agents As AI continues to reshape enterprise operations, organizations must evolve their identity strategies. The risks are real, but so are the opportunities. With the right identity-first approach, AI can be adopted confidently and securely. https://lnkd.in/epDdbgyu

"Worse, most AI agents lack clear ownership, follow no standard lifecycle, and offer little visibility into their real-world behavior. They can be deployed by developers, embedded in tools, or called via external APIs. Once live, they can run indefinitely, often with persistent credentials and elevated permissions. And because they're not tied to a user or session, AI agents are difficult to monitor using traditional identity signals like IP, location, or device context." #AI #cybersecurity https://lnkd.in/g3k8zBKR

🕷️ Shadow Access: The Real Horror Story — Now with AI in the Dark 🕸️ We’ve all heard of shadow IT. But the real threat lurking in today’s environments? Shadow access — permissions and privileges that quietly accumulate, often unnoticed. A developer with admin rights they no longer need. A service account with more power than your domain admins. A contractor account that nobody remembered to disable. Now add AI-driven machine-to-machine threats to the mix. Bots, agents, and automated workflows often operate with elevated access — and rarely get reviewed. An AI model with broad API access. A forgotten integration with full database control. A machine identity that’s always trusted, never questioned. In the dark, attackers thrive. Shadow access — human or machine — gives them the perfect path to escalate privileges and move laterally, often undetected. 🔦 The cure? ✅ Automate identity discovery ✅ Apply least privilege policies ✅ Continuously review and remove unused access ✅ Monitor AI-to-AI communications for anomalies This Cybersecurity Awareness Month, remember: The scariest risks aren’t the ones we see — but the ones we don’t. #CyberSecurityAwarenessMonth #ShadowAccess #AIThreats #IdentitySecurity #LeastPrivilege #MachineIdentity #ZeroTrust#OpenText

Just read this really interesting Blog from Token Security about AI agents and the new security risks they bring NHI and the Rise of AI Agents: https://lnkd.in/dz2vU46d by Itamar Apelblat The article talks about how companies are starting to use more AI agents, basically automated systems that act and make decisions on their own but most aren’t ready to secure them yet. These non-human identities(NHIs) can access data, make API calls, and even talk to other systems. but who’s tracking what they’re doing or what permissions they have? It made me realize that as we rush to adopt AI, identity and access management has to evolve too not just for people, but for the AI that works alongside them. Curious to know other's opinion on this: how do we build trust and accountability around AI agents before they become the next big security blind spot? #AI #CyberSecurity #AIagents #TechThoughts #linkedin

83% of organizations use AI, but only 13% know how it's being used… which means, most organizations are flying blind with their data. This begs the question... is speeding into AI worth the risk? A new survey of more than 900 IT and cybersecurity professionals reveals what we expected in this AI hype cycle… while AI adoption has reached mainstream levels, enterprise security controls are struggling to keep pace. The biggest risk that has emerged is being coined "shadow identity", AI systems operating with power and speed but minimal accountability. Here are the key vulnerabilities found from the report; 1 → Agents and prompts are the weakest links 🔹 76% say autonomous AI agents are hardest to secure 🔹 70% flag external prompts to public LLMs as high-risk 🔹 40% report "shadow AI" already operating outside approved oversight 🔹 Nearly 25% have no prompt or output controls in place 🔹 Only 26% redact outputs, just 30% have runtime monitoring 2 → Identity management failing AI 🔹 Only 16% treat AI as a distinct identity class 🔹 66% have caught AI over-accessing sensitive data 🔹 21% grant AI broad access to sensitive information by default 🔹 Just 9% have fully integrated data security and identity controls for AI 🔹 77% either blur AI with humans or apply inconsistent rules 3 → Governance gaps persist 🔹 Only 7% have a dedicated AI governance team 🔹 Just 11% feel fully prepared for AI-related regulations 🔹 33% have awareness of risks but no enforcement controls 🔹 Only 11% can automatically block risky AI activity 🔹 57% remain in early maturity stages despite widespread adoption The bottom line? The report highlights something pretty important.. in all this speed to adopt AI, we've left ourselves "blind to how AI interacts with and uses our data." With adoption surging but controls lagging, AI has become both a productivity driver and one of the fastest-expanding risks that CISOs must defend. The report had a few recommendations: 1️⃣ Treating every AI pilot as production from day one 2️⃣ Containing agents with narrow scopes and explicit approvals 3️⃣ Redefining identity frameworks to treat AI as a first-class identity requiring its own governance model   In the end, the question to aks yourself is the speed worth the risk? The organizations that pause to build visibility, governance, and controls now will be the ones that can safely accelerate later. Those that don't? They're just hoping they don't crash into something they never saw coming. Source: 2025 State of AI Data Security Report | Cyera & Cybersecurity Insiders

Couldn’t agree more 👇 This brings me back to the early data monetization days — a kind of “Wild West” where everyone built data pipelines, but few cared about security or governance. Fast-forward to AI: we can’t make the same mistake. Trust, security, and governance must scale with innovation. Great insights, Darlene Newman.

The rise of Agentic AI is driving a dramatic increase in new identities, each operating with decision-making privileges. Yet traditional tools cannot monitor these agents or detect anomalies in real time, creating critical blind spots. At AuthMind, we are reinventing identity security by focusing on every access to deliver actionable context about every AI agent. This allows security teams to proactively detect risks, reduce blind spots, and ensure secure AI identities. Read more here: https://lnkd.in/gA-gm-yP #agenticai #ai #identitysecurity #identityvisibility #ivip

Reinventing Identity Security for the Age of AI The The AI Journal recently published an excellent article, “Why CISOs Must Reinvent Data Security for the Age of AI.” It highlights a growing reality in banking and cybersecurity: AI has fundamentally changed how data moves, who interacts with it, and how quickly risk can spread. Traditional IAM systems were designed for static environments and predictable user roles. But today, identities include not just people, but APIs, bots, and AI-driven services. Access changes constantly, and compliance risks often hide in entitlement sprawl and shadow automation. At Provision IAM, we believe the next generation of identity security must:  • Automate joiner, mover, and leaver processes across systems—human and machine.  • Enforce least-privilege access through role-based and policy-driven controls.  • Provide real-time visibility into who has access, why, and what’s changing.  • Integrate identity intelligence with data activity for true security context. As AI reshapes how organizations operate, identity becomes the new perimeter. Financial institutions running Jack Henry (Symitar, SilverLake, CIF 20/20), FIS, Fiserv, or Corelation, Inc. cores are finding that automation isn’t optional—it’s the only way to keep pace with modern risk and regulatory demands. The future of data security isn’t just about protecting information—it’s about governing access at machine speed. #Cybersecurity #IdentitySecurity #IAM #AI #DataSecurity #Banking #CreditUnions #ProvisionIAM #JackHenry #Fiserv #FIS #Corelation https://lnkd.in/ee_vbwpR

“AI Expands the Attack Surface — Including Inside Your Walls.” Shadow AI is the new risk vector many organizations are not watching. According to Help Net Security, 37% of employees are using generative AI tools without approval. It is no longer about external threats alone—your internal users are now enlarging your attack surface. Here’s how AI is shifting the battlefield: Tool and target at once: AI systems are no longer just enablers—they’re being exploited via data poisoning, deepfake impersonation, AI-driven phishing, and prompt injection. Shadow AI gives threat actors hidden pathways into otherwise protected systems. Governance gaps are fatal: Many orgs adopted AI fast, but struggle to manage it responsibly. The risks from unsanctioned use—data leakage, regulatory noncompliance—can far outweigh the productivity gains. Attack vectors multiply as AI threads into business processes: APIs, pipelines, chatbots, agents—all now part of the threat landscape. Traditional security tooling often misses behavior, context, or language-based exploits. 🔐 How Autonomos.AI Fortifies Your AI Attack Surface We simulate AI attack vectors—shadow AI, prompt injection, misconfiguration, deepfake pathways—continuously and autonomously, without needing agents. We validate controls in real environments: how AI systems interact with identity, data stores, APIs, and user workflows. We identify the highest risk paths, not just common paths—so you know where to focus first. We deliver prioritized remediation: tighten prompt safeguards, segment AI tool access, enforce monitoring, and vet outputs. AI is not a sidecar—it’s now core infrastructure. If you can’t see how it is being misused or misbehaving, it’s already too late. #ShadowAI #AIAttackSurface #ThreatSimulation #AutonomousSecurity #AutonomosAI #Governance #AIsecurity #PromptInjection #InternalThreats #ZeroTrust https://lnkd.in/gzQjFV8S