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Course Outline
Introduction to Secure Agent Operations
- Challenges enterprises face in securing AI agents.
- AgentCore’s core security-first design philosophy.
- Overview of the identity, observability, and compliance modules.
Identity and Access Management
- Configuring role-based access controls for agents.
- Integrating federated identity with enterprise IAM systems.
- Practical exercise: Setting up secure identity and permission structures.
Session Management and Security Controls
- Managing state at the session level.
- Mitigating risks associated with unauthorized persistence and data leakage.
- Practical exercise: Enforcing robust session security policies.
Observability for AI Agents
- Implementing structured logging and full traceability.
- Defining metrics to monitor agent behavior and activity.
- Practical exercise: Connecting AgentCore to observability dashboards.
Compliance and Auditability
- Key regulatory frameworks applicable to AI agents.
- Strategies for audit logging and trace preservation.
- Practical exercise: Creating audit trails that meet compliance standards.
Incident Response and Risk Mitigation
- Methods for detecting and addressing security incidents.
- Setting up automated alerts and escalation procedures.
- Practical exercise: Simulating a compliance breach to test response protocols.
Best Practices and Enterprise Patterns
- Strategies for safe deployment in highly regulated environments.
- Developing governance models for ongoing agent operations.
- Emerging trends in AI agent compliance and regulation.
Summary and Next Steps
Requirements
- A deep understanding of enterprise security architectures.
- Experience with compliance standards such as GDPR, HIPAA, and SOC 2.
- Familiarity with observability platforms and AWS service offerings.
Target Audience
- Security Architects.
- Compliance Officers.
- Observability Engineers.
14 Hours
