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Agent Identity & Access Security

Authenticate Agents with OAuth

Authenticate agent access with scoped OAuth credentials tied to users and policy. Preserve delegation context without granting broad, persistent authority.

Use Case

Authenticate autonomous agents with OAuth and delegated authorization that preserve both agent identity and originating user context. Issue scoped, expiring access so agents can complete approved tasks without inheriting broad or persistent enterprise privileges.

Challenges

Agents often need to act for users across tools, APIs, and applications. Weak authentication models create several risks:

  • Shared secrets fail to distinguish agents from users
  • Long-lived credentials create persistent standing privilege
  • Delegated access may exceed the user or task scope
  • Lost identity context weakens attribution and auditability

Solution

PointGuard AI provides a comprehensive solution for OAuth-based agent authentication and delegated access:

1. Establish agent identity. Use Agent Mission Control to give each agent a verifiable identity distinct from the human user and other workloads.

2. Delegate user authorization. Use OAuth and on-behalf-of flows to issue scoped, expiring tokens tied to the requesting user and task.

3. Validate every action. Use MCP Security Gateway to evaluate tool and API requests against agent identity, user context, policy, and sensitivity.

4. Revoke and audit access. Expire or revoke delegated credentials when authorization changes and preserve the full user-to-agent-to-tool audit chain.

Agents gain only the access needed for delegated work while user authorization boundaries and accountability remain intact.

Risks Addressed

Applicable framework risks and controls include:

OWASP Top 10 for LLMs
  • LLM03:2026 Excessive Agency
OWASP Top 10 for Agentic Applications
  • ASI03: Identity and Privilege Abuse
  • ASI07: Insecure Inter-Agent Communication
NIST AI Risk Management Framework
  • GOVERN 1.4: Transparent risk policies, procedures, and controls are established
  • MEASURE 2.7: AI system security and resilience are evaluated and documented
  • MANAGE 4.1: Post-deployment monitoring and change management are implemented