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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Challenges enterprises face in securing AI agents
- Security-centric design principles of AgentCore
- Overview of identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical lab: Configuring secure identity and permission settings
Session Management and Security Controls
- Managing session-level state
- Preventing unauthorized data persistence and leakage
- Practical lab: Enforcing secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Tracking agent activity through metrics
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Maintaining audit logs and trace integrity
- Practical lab: Creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Setting up automated alerts and escalation processes
- Practical lab: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Safe deployment strategies in regulated industries
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- In-depth knowledge of enterprise security models
- Practical experience with compliance standards such as GDPR, HIPAA, and SOC 2
- Proficiency with observability platforms and AWS services
Intended Audience
- Security architects
- Compliance officers
- Observability engineers
