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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise challenges in AI agent security
- AgentCore’s security-centric design principles
- An overview of identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Lab exercise: Setting up secure identity and permissions
Session Management and Security Controls
- Managing session-level state
- Mitigating unauthorized persistence and data leakage
- Lab exercise: Enforcing secure session policies
Observability for AI Agents
- Structured logging and traceability practices
- Metrics for monitoring agent performance
- Lab exercise: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Audit logging and trace retention strategies
- Lab exercise: Creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Automating alerts and escalation processes
- Lab exercise: Simulating a compliance breach event
Best Practices and Enterprise Patterns
- Safe deployment strategies in regulated sectors
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- Advanced proficiency in enterprise security architectures
- Practical experience with compliance frameworks (such as GDPR, HIPAA, or SOC 2)
- Knowledge of observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
