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Course Outline
Foundations of Secure Agent Operations
- Key enterprise challenges in securing AI agents
- AgentCore’s security-led design principles
- An introduction to 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 identities and permissions
Session Management and Security Protocols
- Managing session-level state effectively
- Mitigating risks of unauthorised data persistence and leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Utilising structured logging and traceability
- Tracking agent activity through key metrics
- Practical lab: connecting AgentCore with observability dashboards
Compliance and Audit Capabilities
- Essential compliance frameworks for AI agents
- Maintaining audit logs and preserving traces
- Practical lab: creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and addressing security incidents
- Setting up automated alerts and escalation processes
- Practical lab: simulating a compliance breach scenario
Best Practices and Enterprise Models
- Strategies for safe deployment in regulated sectors
- Developing governance structures for agent operations
- Emerging trends in AI agent compliance
Conclusion and Future Directions
Requirements
- Advanced knowledge of enterprise security architectures
- Practical experience with compliance frameworks (such as GDPR, HIPAA, and SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
