
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.
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.
FREQUENTLY ASKED QUESTIONS ABOUT AI SECURITY
AI Security focuses on controlling and securing how AI systems and agents access data, applications, APIs, and enterprise systems.
AI agents are autonomous or semi-autonomous systems that can perform actions, access systems, use APIs, and complete tasks on behalf of users or organizations.
Identity provides control, authentication, authorization, and accountability for AI systems and agents. Without identity-based security, AI systems can operate with excessive or unmanaged access.
AI agents typically access systems through APIs, integrations, applications, and delegated permissions connected to enterprise platforms and services.
AI agents can introduce risks such as unauthorized access, excessive privileges, uncontrolled delegation, limited visibility, and lack of accountability across systems and data.
Identity and Access Management (IAM) helps organizations manage authentication, authorization, governance, and lifecycle management for AI systems and agents.
Zero Trust Security ensures that AI systems and agents only receive the minimum access required, with continuous verification, strong authentication, and strict authorization controls.
Access for AI agents can be controlled through managed identities, role-based access, policy enforcement, authorization controls, and continuous monitoring.
Delegated access allows AI agents to perform actions on behalf of users or systems. This requires clear governance, limited permissions, and full traceability.
Organizations can govern AI activity through logging, monitoring, auditing, policy enforcement, identity governance, and access reviews.
Non-human identities include AI agents, applications, services, APIs, bots, and machine identities that require authentication, authorization, and governance.
Cloudworks helps organizations secure AI systems and agents through identity-driven access control, governance, Zero Trust Security, and integration with enterprise platforms and APIs.
Take control of your AI Security
Get a clear understanding of how to secure your AI environment and what steps to take next.
