The Challenge of Identifying AI Agents in Security

The platform codon.org.uk has published a piece titled “Securing agentic identity,” which addresses the challenge of securing the identity of autonomous software agents based on artificial intelligence.

Context

As agentic AI systems spread — systems capable of independently performing actions on behalf of users, calling external services, authenticating to systems and making decisions without direct human involvement — the question of correctly identifying such agents is taking on ever greater importance for the information security industry.

Traditional authentication and authorization models were designed with a human in mind, or with static software that behaves predictably. Autonomous agents work differently: they can act on someone else's behalf, delegate authority to other agents and carry out chains of actions that are hard to anticipate in advance within classic access-control schemes.

Why it matters

The discussion of such material within the community of developers and security specialists points to growing interest in developing new standards and practices for managing identity and access in an environment where decisions are made not only by people but also by automated agents.

The full content of the publication is available via the link on the author's site.

Source: Lobsters