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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise challenges in securing AI agents
- AgentCore’s security-centric design philosophy
- Introduction to identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical exercise: Setting up secure identity and permissions
Session Management and Security Controls
- Managing session-level state effectively
- Mitigating risks of unauthorized persistence and data leakage
- Practical exercise: Applying secure session policies
Observability for AI Agents
- Establishing structured logging and traceability
- Utilizing metrics to monitor agent performance and activity
- Practical exercise: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Key regulatory frameworks impacting AI agents
- Implementing audit logging and trace retention strategies
- Practical exercise: Creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Setting up automated alerts and escalation procedures
- Practical exercise: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Developing safe deployment strategies for regulated environments
- Constructing governance models for agent operations
- Exploring emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- Advanced knowledge of enterprise security architectures
- Practical experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
