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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Enterprise-level challenges in safeguarding AI agents
- AgentCore’s security-centric design principles
- Summary 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
- Mitigating risks of unauthorized persistence and data leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Using metrics to monitor agent activity
- Practical lab: connecting AgentCore with observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Maintaining audit logs and trace retention
- Practical lab: creating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Utilizing automated alerts and escalation workflows
- Practical lab: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated environments
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Future Steps
Requirements
- A sophisticated grasp of enterprise security architectures
- Practical experience with compliance standards (such as GDPR, HIPAA, and SOC 2)
- Knowledge of observability platforms and AWS services
Intended Audience
- Security Architects
- Compliance Officers
- Observability Engineers
