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Duration 14 hours
Course Outline
Introduction to Securing Agent Operations
- Enterprise-level challenges in AI agent security
- Security-centric design principles of AgentCore
- Overview of identity, observability, and compliance components
Identity and Access Administration
- Role-based access controls specific to agents
- Integration of federated identity with enterprise IAM systems
- Practical exercise: Setting up secure identities and permissions
Session Management and Security Enforcement
- Managing session-level state
- Mitigating unauthorized data persistence and leakage
- Practical exercise: Applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Monitoring agent activity through metrics
- Practical exercise: Connecting AgentCore to observability dashboards
Compliance and Audit Trails
- Essential compliance frameworks for AI agents
- Maintaining audit logs and trace records
- Practical exercise: Creating compliance-compliant audit trails
Incident Response and Risk Reduction
- Identifying and managing security incidents
- Automating alerts and escalation processes
- Practical exercise: Simulating a compliance violation scenario
Best Practices and Enterprise Models
- Strategies for safe deployment in regulated sectors
- Constructing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- Proficient knowledge of enterprise security architectures
- Background with compliance standards (such as GDPR, HIPAA, SOC 2)
- Knowledge of observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
