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Course Outline
Introduction to Secure Agent Operations
- Enterprise challenges in securing AI agents
- AgentCore’s security-first design principles
- Overview of identity, observability, and compliance modules
Identity and Access Management
- Role-based access controls for agents
- Federated identity with enterprise IAM systems
- Hands-on lab: configuring secure identity and permissions
Session Management and Security Controls
- Session-level state management
- Preventing unauthorized persistence and leakage
- Hands-on lab: enforcing secure session policies
Observability for AI Agents
- Structured logging and traceability
- Metrics for monitoring agent activity
- Hands-on lab: integrating AgentCore with observability dashboards
Compliance and Auditability
- Key compliance frameworks for AI agents
- Audit logging and trace preservation
- Hands-on lab: generating compliance-ready audit trails
Incident Response and Risk Mitigation
- Detecting and responding to security incidents
- Automated alerts and escalation workflows
- Hands-on lab: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Safe rollout strategies in regulated environments
- Designing governance models for agent operations
- Future trends in AI agent compliance
Summary and Next Steps
Requirements
- Advanced understanding of enterprise security models
- Experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2)
- Familiarity with observability platforms and AWS services
Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
