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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise-specific challenges in AI agent security
- AgentCore’s security-centric design philosophy
- Introduction to identity, observability, and compliance components
Identity and Access Governance
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical lab: Setting up secure identity and permission configurations
Session Governance and Security Measures
- 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 end-to-end traceability
- Utilizing metrics to monitor agent performance and activity
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Audit Trails
- Examining key regulatory frameworks applicable to AI agents
- Maintaining audit logs and trace retention
- Practical lab: Creating compliance-ready audit records
Incident Management and Risk Reduction
- Identifying and addressing security incidents
- Configuring automated alerts and escalation processes
- Practical lab: Simulating a compliance violation scenario
Best Practices and Enterprise Solutions
- Strategies for safe deployment in regulated sectors
- Architecting governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Recommended Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Proficiency with compliance frameworks (such as GDPR, HIPAA, and SOC 2)
- Acquaintance with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
