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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Key challenges in securing AI agents at the enterprise level
- AgentCore’s security-first design principles
- 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
- Practical lab: Configuring secure identity and permissions
Session Management and Security Controls
- Managing session-level state effectively
- Mitigating unauthorized persistence and data leakage
- Practical lab: Enforcing secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Utilizing metrics to monitor agent activity
- Practical lab: Integrating AgentCore with observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Maintaining audit logs and trace preservation
- Practical lab: Generating compliance-ready audit trails
Incident Response and Risk Mitigation
- Detecting and addressing security incidents
- Setting up automated alerts and escalation workflows
- Practical lab: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe rollout in regulated environments
- Designing governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- 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
