AI Agents Create a New Identity and Access Control Problem
AI agent identity security is the discipline of continuously verifying, governing, and authorizing autonomous software agents as they access data, tools, and systems, treating every agent like a distinct identity whose permissions and actions must be evaluated in real time across complex digital environments. As enterprises move AI agents from pilots into production, these agents can execute thousands of actions in seconds across SaaS, APIs, cloud services, and internal tools. Traditional identity and access management, built around human logins and static roles, was not designed for autonomous, tool-using systems that reason, adapt, and delegate to other agents. This gap creates a growing attack surface: long‑lived credentials, over‑privileged agents, and opaque machine‑to‑machine interactions. Security teams now need non-human identity management, continuous verification, and dynamic AI access control that can keep pace with agentic workflows rather than relying on one‑time approvals.
SailPoint Bets on Non-Human Identity With Entro
SailPoint’s planned acquisition of Entro highlights how quickly non-human identity management is becoming central to enterprise security strategies. Entro focuses on non-human identities and credentials security, covering the secrets, keys, and machine identities that AI agents and services use. SailPoint plans to fold this into its Agentic Fabric, a platform aimed at securing autonomous AI agents and other non-human identities at scale. According to SailPoint, Agentic Fabric already offers native discovery, governance, and protection for AI agents; Entro should extend that with deeper visibility into high-risk machine credentials and the context around their use. The goal is a single identity platform that can locate every agent, understand what each one accesses, and apply adaptive controls. This shows that identity vendors now view AI agents as first‑class identities, not edge cases bolted onto human-centric tools.
Akamai Pushes an Agentic Security Framework at the Edge
Akamai is approaching AI access control from the edge, unveiling a unified agentic security framework for its Bot & Agent Control solutions. The company connects identity, observability, trust, and edge security into a single decisioning layer that evaluates AI agent requests in real time. A key focus is making agents safe participants in digital commerce. Through its collaboration with Visa, Akamai is tying into Visa’s Trusted Agent Protocol to define how agents are authenticated and authorized for payment transactions. Akamai is also working with Skyfire and Experian on “Know Your Agent” and Experian Agent Trust frameworks so agents can declare identity, origin, and intent, and be linked to the users and platforms they represent. As Visa states, “Without trusted identity and explicit permissioning, AI agents cannot participate in commerce at scale,” underscoring the importance of verifiable agent identities.
CrowdStrike Targets Continuous Identity for Agentic Enterprises
CrowdStrike is reframing identity for AI agents around continuous authorization rather than static entitlements. Its new Continuous Identity for AI Agents, part of the Falcon Next-Gen Identity Security platform, evaluates every agent action in real time based on who owns the agent, who is calling it, and device risk posture. CrowdStrike says legacy models built on standing privileges “break down” once agents gain autonomy, because authorizing once and trusting indefinitely becomes a liability. The company uses technology from its acquisition of SGNL to dynamically grant, deny, or revoke access as context and risk change. Each AI agent gets a cryptographically verifiable identity following the SPIFFE standard, replacing brittle API keys with workload identities. When agents call tools, APIs, or sub‑agents, Falcon can trace the chain of identity and risk signals, turning its platform into an AI-focused identity security control plane.
Saviynt’s Runtime Gatekeeping for AI Agent Behavior
Saviynt is zeroing in on runtime authorization with its enhanced Agent Access Gateway, designed as a control layer that sits between AI agents and enterprise assets. The gateway treats agents as a new class of identity that can act independently, on behalf of a user, or via another agent. Its new Intent-Aware Runtime Authorization (IARA) evaluates each AI action on the fly using identity, context, policy, and inferred intent. If an action steps outside allowed boundaries, Saviynt can block it and create an audit event right at execution time. This moves governance beyond static permissions and role assignments toward a model where AI access control decisions track what the agent is trying to do and why. For security teams, this runtime lens helps contain the expanded attack surface created when agents can chain tools, invoke APIs, and touch sensitive data at machine speed.
