Identity illustration


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, monitoring, and auditability
AI activity must be monitored, logged, and governed to ensure compliance and control. 

Senior IAM Architect discussing AI security

How Cloudworks helps

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

Define AI identity architecture

Establish secure identity, access, and governance models for AI systems and agents.

Establish authorization and governance

Control access, permissions, and delegated actions for AI systems and agents.

Implement IAM and security controls

Implement identity, authentication, authorization, and Zero Trust Security controls.

Integrate AI systems and APIs

Enable secure integration, access control, and governance across enterprise environments.

AI Security & Governance Assessment

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

Illustration of control of AI agentsTake control of your AI Security

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