AI agents need their own identity before they need a gateway

The useful part

They decide which tools to use, which APIs to call, what information to retrieve, and how to sequence actions based on context. Much of today's AI security discussion focuses on prompt injection, model vulnerabilities, and data leakage. These are important concerns, but they represent only part of the challenge.

How it works

• Organizations are rapidly moving beyond assistants that answer questions to autonomous agents capable of reasoning, invoking tools, accessing enterprise applications, coordinating with other agents, and...
• This shift represents a fundamental change in how software operates.
• AI agents, however, dynamically determine how to achieve an objective.
• Identity providers, multi-factor authentication (MFA), role-based access control, and zero trust architectures answer these questions effectively for human users and conventional applications, and NIST's...
• Once an AI agent has successfully authenticated and begins acting autonomously, traditional security controls provide very little visibility into whether it continues to operate safely.

What to take from it

This is where enterprises need to adopt a new security mindset: runtime trust. Who are you, what can you access, and what actions are you authorized to perform.

Details worth keeping

Traditional applications execute predefined logic written by developers.