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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Enterprise challenges associated with securing AI agents
- AgentCore’s security-led 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
- Practical lab: setting up secure identity and permissions
Session Management and Security Controls
- Managing session-level state
- Preventing unauthorised persistence and data leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Structured logging and full traceability
- Utilising 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 integrity
- Practical lab: creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Configuring automated alerts and escalation workflows
- Practical lab: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe rollouts in regulated environments
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- A sophisticated grasp of enterprise security frameworks
- Practical experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Working knowledge of observability platforms and AWS services
Intended Audience
- Security architects
- Compliance officers
- Observability engineers
