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Course Outline
Foundations of Secure Agent Operations
- Enterprise challenges in securing AI agents
- AgentCore's security-centric design philosophy
- Overview of identity, observability, and compliance components
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 permission structures
Session Management and Security Protocols
- 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
- Utilizing metrics to monitor agent performance
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Key regulatory frameworks applicable to AI agents
- Maintaining audit logs and preserving traces
- Practical lab: Creating audit trails that meet compliance requirements
Incident Response and Risk Management
- Identifying and handling security incidents
- Configuring automated alerts and escalation processes
- Practical lab: Simulating a compliance violation scenario
Best Practices and Enterprise Models
- Effective rollout strategies in regulated sectors
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Recap and Future Directions
Requirements
- Deep knowledge of enterprise security architectures
- Practical experience with compliance standards (such as GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security architects
- Compliance specialists
- Observability engineers
14 Hours
