AI agents need identity
Security teams are increasingly treating AI agents not like passive software but like actors that need identity and permission controls. That shift reframes agentic systems as entities whose intents, access boundaries and audit trails must be governed—so identity, not just code, becomes central to risk management. For any product that automates communications or decisions, buyers will want to know which ‘agent’ acted and why. (biometricupdate.com)
A normal software script is like a vending machine: you press one button and it does one thing. An artificial intelligence agent is closer to a junior employee, because it can read a goal, choose tools, and take several steps on its own. (biometricupdate.com) That difference is why security teams are starting to give agents identities instead of treating them like background code. The April 9, 2026 Biometric Update piece says agents now authenticate, make decisions, and act autonomously, which puts them closer to users and service accounts than to static software. (biometricupdate.com) Identity means each agent gets its own record, permissions, and audit trail, the same way a human worker gets a badge and a login. Microsoft said on May 19, 2025 that its Entra Agent ID product was built so companies can inventory agent identities and manage their lifecycle and access in one directory. (techcommunity.microsoft.com) The problem is that identity alone only answers who the agent is, not what job it is doing right now. Biometric Update argues that old identity and access management systems assume behavior stays predictable after login, while agents can plan, adapt, and chain actions as new information arrives. (biometricupdate.com) That is where intent comes in. In the article, intent-based permissioning means access turns on only when the agent’s declared purpose and its live context match pre-approved rules. (biometricupdate.com) A simple example is the difference between looking and touching. Two agents might call the same cloud interface, but one is only meant to inspect a cost spike while another is allowed to shut down a server, so the security rule has to care about purpose, not just the tool being used. (biometricupdate.com) This is moving from theory into standards work. The National Institute of Standards and Technology launched its Artificial Intelligence Agent Standards Initiative in February 2026, and one of its stated research areas is agent authentication and identity infrastructure for secure human-agent and multi-agent interactions. (nist.gov) The risk list is getting more specific too. Microsoft’s April 2, 2026 post on its open-source Agent Governance Toolkit says the Open Worldwide Application Security Project published a Top 10 list for agentic applications in December 2025 that includes identity abuse, tool misuse, rogue agents, and goal hijacking. (opensource.microsoft.com) That changes the buying checklist for any company selling automated support, finance, hiring, or infrastructure tools. Customers will increasingly ask which named agent took an action, what data it could reach, what human approval it had, and what exact goal triggered the decision. (biometricupdate.com; techcommunity.microsoft.com) The shift is subtle but important: the security question is no longer just “is this software allowed in the system.” It is becoming “which agent did this, under whose authority, for what purpose, and can we prove it after the fact.” (biometricupdate.com; nist.gov)
