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Duration 14 hours
Course Outline
Introduction to Securing Agent Operations
- Challenges enterprises face in protecting AI agents
- Security-first design principles underpinning AgentCore
- Introduction to identity, observability, and compliance modules
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical lab: setting up secure identities and permissions
Session Management and Security Measures
- Managing state at the session level
- Mitigating risks of unauthorized persistence and data leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Utilizing structured logging and end-to-end traceability
- Tracking agent activity through key metrics
- Practical lab: connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Maintaining audit logs and preserving traces
- Practical lab: creating compliance-ready audit trails
Incident Response and Risk Reduction
- Identifying and addressing security incidents
- Setting up automated alerts and escalation processes
- Practical lab: simulating a compliance breach situation
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated environments
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Path Forward
Requirements
- Advanced knowledge of enterprise security frameworks
- Proficiency in compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Experience with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
