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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Enterprise challenges associated with securing AI agents
- Security-centric design principles of AgentCore
- Overview of identity, observability, and compliance components
Identity and Access Management
- Role-based access controls for agents
- Integration of federated identity with enterprise IAM systems
- Practical lab: Setting up secure identity and permissions
Session Management and Security Protocols
- Managing state at the session level
- Mitigating unauthorized persistence and data leakage
- Practical lab: Implementing secure session policies
Observability for AI Agents
- Structured logging and traceability mechanisms
- Metrics for tracking agent activity
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Audit logging and preservation of traces
- Practical lab: Creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identification and response to security incidents
- Automated alerting and escalation procedures
- Practical lab: Replicating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated environments
- Designing governance models for agent operations
- Emerging trends in AI agent compliance
Recap and Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Proficiency with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Knowledge of observability platforms and AWS services
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
