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Course Outline
Introduction to Secure Agent Operations
- Addressing enterprise challenges in securing AI agents
- Security-first design principles underlying AgentCore
- Overview of identity, observability, and compliance modules
Identity and Access Management
- Implementing role-based access controls for agents
- Federating identity with enterprise IAM systems
- Practical lab: Configuring secure identity and permissions
Session Management and Security Controls
- Managing session-level state
- Preventing unauthorized persistence and data leakage
- Practical lab: Enforcing secure session policies
Observability for AI Agents
- Structured logging and traceability
- Metrics for monitoring agent activity
- Practical lab: Integrating AgentCore with observability dashboards
Compliance and Auditability
- Key compliance frameworks applicable to AI agents
- Audit logging and trace preservation
- Practical lab: Generating compliance-ready audit trails
Incident Response and Risk Mitigation
- Detecting and responding to security incidents
- Automated alerts and escalation workflows
- Practical lab: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Safe rollout strategies in regulated environments
- Designing governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Practical experience with compliance frameworks (such as GDPR, HIPAA, and SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
