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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Challenges in securing AI agents at the enterprise level
- Security-first design principles of AgentCore
- 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
- Mitigating risks of unauthorized persistence and data leakage
- Practical lab: Enforcing secure session policies
Observability for AI Agents
- Structured logging and end-to-end traceability
- Utilizing metrics to monitor agent activity
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Maintaining audit logs and trace records
- Practical lab: Creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying 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
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- Advanced knowledge of enterprise security architectures
- Practical experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
