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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Enterprise challenges in securing AI agents
- AgentCore’s security-centric design philosophy
- Overview of identity, observability, and compliance modules
Identity and Access Management
- 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
- Mitigating unauthorized persistence and data leakage
- Practical exercise: Enforcing secure session policies
Observability for AI Agents
- Structured logging and traceability
- Metrics for tracking agent performance
- Practical exercise: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Audit logging and trace preservation
- Practical exercise: Creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Automated alerts and escalation procedures
- Practical exercise: 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
Summary and Next Steps
Requirements
- Advanced knowledge of enterprise security architectures
- 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
