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Course Outline
Foundations of Secure Agent Operations
- Enterprise complexities involved in securing AI agents
- AgentCore’s security-centric design philosophy
- High-level view of identity, observability, and compliance modules
Identity and Access Management
- Role-based access controls specific to agents
- Federated identity integration with enterprise IAM systems
- Practical lab: Setting up secure identity and permissions
Session Management and Security Controls
- Managing state at the session level
- Mitigating risks of unauthorized persistence and data leakage
- Practical lab: Enforcing secure session policies
Observability for AI Agents
- Structured logging and traceability strategies
- Metrics for tracking agent behavior
- Practical lab: Connecting AgentCore with observability dashboards
Compliance and Auditability
- Essential compliance frameworks for AI agents
- Audit logging and data trace preservation
- Practical lab: Creating audit trails that meet compliance requirements
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Setting up automated alerts and escalation workflows
- Practical lab: Simulating a compliance breach event
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated sectors
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Wrap-up and Path Forward
Requirements
- Proficient grasp of enterprise security architectures
- Practical experience with compliance frameworks (such as GDPR, HIPAA, and SOC 2)
- Working knowledge of observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
