Securing AI Agents: Identity, Observability, and Compliance with AgentCore Training Course

Foundations of Secure Agent Operations

• Key enterprise challenges in safeguarding AI agents
• AgentCore’s security-centric design philosophy
• An overview of identity, observability, and compliance modules

Identity and Access Governance

• Implementing role-based access controls for agents
• Integrating federated identity with enterprise IAM systems
• Practical lab: setting up secure identity and permission structures

Session Management and Security Protocols

• Managing session-level state
• Mitigating risks of unauthorized persistence and data leakage
• Practical lab: applying secure session policies

Observability for AI Agents

• Structured logging and end-to-end traceability
• Key metrics for monitoring agent behaviour
• Practical lab: connecting AgentCore to observability dashboards

Compliance and Auditability

• Primary compliance frameworks applicable to AI agents
• Maintaining audit logs and trace history
• Practical lab: creating compliance-compliant audit trails

Incident Response and Risk Management

• Identifying and addressing security incidents
• Setting up automated alerts and escalation procedures
• Practical lab: simulating a compliance breach scenario

Best Practices and Enterprise Patterns

• Strategies for safe deployment in regulated sectors
• Developing governance models for agent operations
• Emerging trends in AI agent compliance

Conclusion and Future Directions