Identity is the foundation for securing AI systems and agents

AI systems and agents must be treated as managed identities with defined access, clear authorization, and full accountability.

How to secure AI systems and agents


Managed identities
AI systems and agents must operate as managed identities with lifecycle management and strong authentication.


Fine-grained authorization
AI agents must only perform explicitly authorized actions.


Delegation and accountability
All actions must be traceable, with clear control over delegated authority.

Governance and audit
AI activity must be monitored, logged, and governed to ensure compliance and control. 



Picture of Senior IAM Architect, Cloudworks

How Cloudworks helps

We help secure AI systems and agents through identity-driven access control, governance, and integration with enterprise platforms and APIs.

  Define identity and access architecture for AI
  Establish authorization models and governance controls
  Implement IAM and security technologies
  Integrate AI systems and agents with enterprise platforms and APIs

AI Security & Governance Assessment

Understand your AI risks, exposures, and governance gaps, and get clear recommendations for securing your AI environment.

Secure your AI with identity at the core
Control access, actions, and accountability across your AI systems.

Cloudworks illustrationTake control of your AI Security

Get a clear understanding of how to secure your AI environment and what steps to take next.