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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise challenges in securing AI agents
- Security-first design principles underpinning AgentCore
- Overview of identity, observability, and compliance components
Identity and Access Governance
- Role-based access controls for agents
- Federated identity integration with enterprise IAM systems
- Practical exercise: setting up secure identity and permissions
Session Governance and Security Protocols
- Managing session-level state
- Mitigating risks of unauthorized persistence and data leakage
- Practical exercise: applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Metrics for monitoring agent behavior
- Practical exercise: connecting AgentCore to observability dashboards
Compliance and Audit Readiness
- Essential compliance frameworks for AI agents
- Audit logging and trace retention strategies
- Practical exercise: creating compliance-ready audit trails
Incident Response and Risk Reduction
- Identifying and managing security incidents
- Configuring automated alerts and escalation procedures
- Practical exercise: simulating a compliance breach scenario
Best Practices and Enterprise Archetypes
- Strategies for safe deployment in regulated environments
- Constructing governance models for agent operations
- Emerging trends in AI agent compliance
Recap and Future Directions
Requirements
- Proficient knowledge of enterprise security architectures
- Practical experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2)
- Working familiarity with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
