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Course Outline
Foundations of Secure Agent Operations
- Navigating enterprise security challenges with AI agents.
- Understanding AgentCore’s security-centric design philosophy.
- High-level view of identity, observability, and compliance components.
Identity and Access Management
- Applying role-based access control (RBAC) strategies for agents.
- Integrating federated identity with corporate IAM solutions.
- Practical exercise: Setting up secure identity and permission structures.
Session Management and Security Protocols
- Managing state within individual agent sessions.
- Safeguarding against unauthorized data persistence and leaks.
- Practical exercise: Implementing rigorous session security policies.
Observability for AI Agents
- Leveraging structured logs and end-to-end traceability.
- Defining key metrics to track agent performance and activity.
- Practical exercise: Connecting AgentCore to real-time observability dashboards.
Compliance and Audit Trails
- Identifying critical compliance standards for AI deployments.
- Maintaining comprehensive audit logs and trace records.
- Practical exercise: Creating audit trails that meet compliance reporting requirements.
Incident Response and Risk Management
- Techniques for detecting and managing security incidents.
- Setting up automated alerting and escalation procedures.
- Practical exercise: Running a simulation of a potential compliance breach.
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated industries.
- Building governance frameworks for ongoing agent operations.
- Emerging trends in AI agent compliance and security.
Wrap-up and Action Items
Requirements
- In-depth knowledge of enterprise security architectures.
- Proficiency with regulatory frameworks such as GDPR, HIPAA, and SOC 2.
- Working familiarity with observability platforms and core AWS services.
Intended Audience
- Security architects
- Compliance professionals
- Observability and platform engineers
14 Hours
