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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Navigating enterprise challenges in AI agent security.
- Understanding AgentCore’s security-first design philosophy.
- 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 identity and permission structures.
Session Management and Security Controls
- Managing state at the session level.
- Mitigating risks of unauthorized persistence and data leakage.
- Practical lab: Enforcing robust session security policies.
Observability for AI Agents
- Utilizing structured logging for full traceability.
- Leveraging metrics to monitor agent behavior.
- Practical lab: Connecting AgentCore to observability dashboards.
Compliance and Auditability
- Reviewing critical compliance frameworks applicable to AI agents.
- Maintaining audit logs and preserving traces.
- Practical lab: Creating compliance-ready audit trails.
Incident Response and Risk Mitigation
- Identifying and managing security incidents.
- Setting up automated alerts and escalation procedures.
- Practical lab: Simulating a compliance breach scenario.
Best Practices and Enterprise Patterns
- Developing safe deployment strategies for regulated environments.
- Designing governance models for agent operations.
- Exploring future trends in AI agent compliance.
Conclusions and Recommended Next Steps
Requirements
- Advanced knowledge of enterprise security models.
- Practical experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2).
- Proficiency with observability platforms and AWS services.
Target Audience
- Security architects.
- Compliance officers.
- Observability engineers.
