Why AI Agents Break Traditional Identity Access Management
AI agent security is the discipline of controlling what autonomous software agents can see and do across enterprise systems by applying identity access management, real-time access control, and runtime policy enforcement that understand machine identities instead of only human users. As organizations push AI agents from pilot to production, they discover that user-centric identity models are not enough. Agents can chain tools, spawn sub-agents, and execute thousands of actions in seconds, often with system-level privileges. Static roles, session-based trust, and one-time approval flows cannot keep pace or evaluate intent at the moment of action. The result is a new class of authorization risk: agents that are authenticated, but not continuously governed. To close this gap, enterprise security vendors are building specialized agent authorization layers that fuse identity, context, and intent into continuous, machine-speed decisions.
Akamai: Building a Unified Agentic Framework at the Edge
Akamai is approaching AI agent security from the edge, creating a unified agentic framework that combines identity, trust, observability, and edge security into a single decision layer. Through work with Visa’s Trusted Agent Protocol, Experian’s Agent Trust framework, and Skyfire’s infrastructure, Akamai is helping define how agents identify themselves, declare intent, and transact safely. According to Visa’s Rubail Birwadker, “Without trusted identity and explicit permissioning, AI agents cannot participate in commerce at scale.” The framework also links agents back to the humans they represent via “Know Your Agent” declarations, and integrates with identity providers like Auth0 and Ping Identity so existing authentication and multi-factor checks extend to AI-driven sessions. By enforcing decisions at the edge in real time, Akamai aims to make agent actions accountable and traceable without forcing enterprises to rebuild their underlying applications.
CrowdStrike: Continuous Identity for High-Speed AI Agents
CrowdStrike is reframing agent authorization as a continuous process rather than a one-off login event. Its Continuous Identity for AI Agents capability in the Falcon platform evaluates every agent action in real time, based on who owns the agent, who is calling it, and the risk posture of their device and environment. Legacy models with standing privileges cannot account for machine-speed behavior changes. CrowdStrike replaces static credentials like API keys with cryptographically verifiable identities based on the SPIFFE standard, making each agent a distinct, auditable workload identity. As AI agents invoke tools, access sensitive data, call APIs, or delegate to sub-agents, the context is preserved and checked against native and third-party risk signals. This moves identity access management toward a dynamic, risk-based, real-time access control plane tuned for autonomous systems rather than humans alone.
Saviynt: Intent-Aware Runtime Authorization for Agent Behavior
Saviynt focuses on what AI agents are trying to do in the moment. Its Agent Access Gateway is a runtime authorization layer that controls how agents interact with applications, data, APIs, tools, infrastructure, and other agents. The latest enhancement, Intent-Aware Runtime Authorization (IARA), evaluates actions in real time using identity, context, policy, and inferred intent. If an action falls outside approved boundaries, Saviynt can block it and log an audit event as it happens. Saviynt’s Vibhuti Sinha describes AI agents as “a new class of enterprise identity — autonomous, powerful, and capable of taking action across critical business systems.” Agent Access Gateway can tell whether an agent is acting independently, on behalf of a person, or on behalf of another agent, and can apply static and dynamic policies to tool access. This closes gaps that static permissions cannot cover.
Balancing Agent Autonomy, Governance, and Compliance
These three approaches point to a shared conclusion: AI agents demand new authorization models that treat them as first-class identities with continuous oversight. Security teams must grant enough autonomy for agents to deliver value, while keeping control tight enough for governance and compliance. That means combining verifiable identity, context-aware risk signals, and intent-aware policies into one decision stack. Akamai’s edge enforcement, CrowdStrike’s continuous identity plane, and Saviynt’s runtime gateway each tackle a piece of this puzzle. Together, they show where identity access management is heading: away from one-time approvals and static roles, toward continuous, real-time access control tuned for non-human actors. Enterprises that want production-grade AI agents will need to design authorization as an always-on process, not an afterthought bolted onto human-centric identity systems.
