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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Enterprise-specific challenges in protecting AI agents
- AgentCore’s security-centric design philosophy
- Overview of identity, observability, and compliance components
Identity and Access Governance
- Role-based access controls tailored for agents
- Integration of federated identity with enterprise IAM systems
- Practical exercise: setting up secure identities and permissions
Session Handling and Security Mechanisms
- Managing session-level state
- Mitigating risks of 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 Audit Capabilities
- Essential compliance frameworks for AI agent deployments
- Maintaining audit logs and trace integrity
- Practical exercise: creating compliance-compliant audit trails
Incident Management and Risk Reduction
- Identifying and addressing security incidents
- Setting up automated alerts and escalation processes
- Practical exercise: role-playing a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated sectors
- Establishing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Path Forward
Requirements
- In-depth knowledge of enterprise security architectures
- Practical 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
