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Course Outline
Introduction to Securing Agent Operations
- Challenges in securing AI agents within the enterprise
- AgentCore’s security-centric design philosophy
- Overview of identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical lab: setting up secure identity and permission structures
Session Management and Security Protocols
- Managing session-level state
- Mitigating risks of unauthorized persistence and data leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Using metrics to monitor agent behavior
- Practical lab: connecting AgentCore with observability dashboards
Compliance and Audit Capabilities
- Understanding key compliance frameworks for AI agents
- Maintaining audit logs and trace records
- Practical lab: creating audit trails that meet compliance requirements
Incident Response and Risk Management
- Identifying and addressing security incidents
- Setting up automated alerts and escalation processes
- Practical lab: simulating a compliance breach scenario
Best Practices and Enterprise Standards
- Strategies for safe deployment in regulated sectors
- Developing governance models for agent management
- Emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- Advanced proficiency in enterprise security architectures
- Working experience with compliance frameworks such as GDPR, HIPAA, and SOC 2
- Knowledge of observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
