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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Challenges facing enterprises in securing AI agents
- AgentCore’s foundational security-first design principles
- Overview of 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: Configuring secure identity and permission settings
Session Management and Security Controls
- Managing session-level state effectively
- Mitigating risks of unauthorized data persistence and leakage
- Practical lab: Enforcing robust session security policies
Observability for AI Agents
- Implementing structured logging and end-to-end traceability
- Utilizing metrics to monitor agent behavior and activity
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Reviewing key compliance frameworks relevant to AI agents
- Managing audit logs and ensuring trace preservation
- Practical lab: Generating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and responding to security incidents
- Setting up automated alerts and escalation workflows
- Practical lab: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe rollout in regulated environments
- Designing governance models for ongoing agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Professional experience with compliance frameworks (such as GDPR, HIPAA, or SOC 2)
- Working familiarity with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
