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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise challenges in securing AI agents
- AgentCore’s security-centric design philosophy
- Introduction to identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical exercise: setting up secure identity and permission configurations
Session Management and Security Controls
- Managing session-level state
- Mitigating unauthorized persistence and data leakage
- Practical exercise: applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Utilizing metrics to monitor agent performance
- Practical exercise: connecting AgentCore to observability dashboards
Compliance and Auditability
- Reviewing critical compliance frameworks for AI agents
- Maintaining audit logs and preserving traces
- Practical exercise: creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and managing security incidents
- Configuring automated alerts and escalation procedures
- Practical exercise: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated sectors
- Structuring governance models for agent operations
- Emerging trends in AI agent compliance
Conclusions and Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Working experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
