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Course Outline
Introduction to Secure Agent Operations
- Enterprise challenges in securing AI agents.
- AgentCore’s security-first design principles.
- Overview of identity, observability, and compliance modules.
Identity and Access Management
- Role-based access controls for agents.
- Federated identity integration with enterprise IAM systems.
- Hands-on lab: configuring secure identity and permissions.
Session Management and Security Controls
- Session-level state management.
- Preventing unauthorized persistence and data leakage.
- Hands-on lab: enforcing secure session policies.
Observability for AI Agents
- Structured logging and traceability.
- Metrics for monitoring agent activity.
- Hands-on lab: integrating AgentCore with observability dashboards.
Compliance and Auditability
- Key compliance frameworks for AI agents.
- Audit logging and trace preservation.
- Hands-on lab: generating compliance-ready audit trails.
Incident Response and Risk Mitigation
- Detecting and responding to security incidents.
- Automated alerts and escalation workflows.
- Hands-on lab: simulating a compliance breach scenario.
Best Practices and Enterprise Patterns
- Safe rollout strategies in regulated environments.
- Designing governance models for agent operations.
- Future trends in AI agent compliance.
Summary and Next Steps
Requirements
- Advanced knowledge of enterprise security models.
- Experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2).
- Familiarity with observability platforms and AWS services.
Target Audience
- Security architects.
- Compliance officers.
- Observability engineers.
14 Hours
