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Course Outline
Introduction to Secure Agent Operations
- Challenges in securing AI agents within the enterprise.
- AgentCore’s security-first design philosophy.
- Overview of identity, observability, and compliance modules.
Identity and Access Management
- Implementing role-based access controls for agents.
- Integrating federated identity with enterprise IAM systems.
- Hands-on lab: Configuring secure identity and permissions.
Session Management and Security Controls
- Managing session-level state.
- Preventing unauthorized data persistence and leakage.
- Hands-on lab: Enforcing secure session policies.
Observability for AI Agents
- Implementing structured logging and traceability.
- Defining metrics to monitor agent activity.
- Hands-on lab: Integrating AgentCore with observability dashboards.
Compliance and Auditability
- Essential compliance frameworks for AI agents.
- Managing audit logs and trace preservation.
- Hands-on lab: Generating compliance-ready audit trails.
Incident Response and Risk Mitigation
- Detecting and responding to security incidents.
- Setting up automated alerts and escalation workflows.
- Hands-on lab: Simulating a compliance breach scenario.
Best Practices and Enterprise Patterns
- Strategies for safe rollouts in regulated environments.
- Designing governance models for agent operations.
- Emerging 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
