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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise challenges in AI agent security
- Exploring AgentCore’s security-centric design philosophy
- Reviewing the identity, observability, and compliance modules
Identity and Access Governance
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM solutions
- Lab: Setting up secure identity configurations and permissions
Session Governance and Security Protocols
- Managing session-level state effectively
- Mitigating risks associated with unauthorized persistence and data leakage
- Lab: Applying secure session policies
Observability in AI Agent Ecosystems
- Implementing structured logging and traceability
- Tracking agent activity through key metrics
- Lab: Connecting AgentCore to observability dashboards
Compliance and Audit Readiness
- Key regulatory frameworks relevant to AI agents
- Maintaining audit logs and trace records
- Lab: Creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and managing security incidents
- Configuring automated alerts and escalation procedures
- Lab: Practicing with simulated compliance breach scenarios
Best Practices and Enterprise Strategies
- Developing safe deployment strategies for regulated sectors
- Building governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- Proficiency in enterprise security architectures
- Practical knowledge of compliance frameworks (such as GDPR, HIPAA, and SOC 2)
- Working familiarity with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
