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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Key challenges enterprises face in securing AI agents
- Security-centric design principles underlying AgentCore
- A review of identity, observability, and compliance components
Identity and Access Governance
- Role-based access controls specific to agents
- Integrating federated identity with corporate IAM platforms
- Practical lab: setting up secure identity and permission structures
Session Management and Security Safeguards
- Managing state at the session level
- Mitigating risks related to unauthorized persistence and data leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Implementing structured logging and trace capabilities
- Utilizing metrics to track agent behavior
- Practical lab: connecting AgentCore to observability dashboards
Compliance and Audit Capabilities
- Essential compliance frameworks applicable to AI agents
- Maintaining audit logs and trace records
- Practical lab: creating compliance-ready audit trails
Incident Response and Risk Reduction
- Identifying and addressing security incidents
- Setting up automated alerts and escalation procedures
- Practical lab: simulating a compliance violation scenario
Best Practices and Corporate Strategies
- Safe deployment strategies in regulated sectors
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- A sophisticated grasp of enterprise security architectures
- Proficiency with compliance standards (such as GDPR, HIPAA, and SOC 2)
- Knowledge of observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
