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Duration 14 hours
Course Outline
Introduction to Securing Agent Operations
- Key challenges in securing AI agents at the enterprise level
- Security-centric design principles of AgentCore
- Overview of identity, observability, and compliance components
Identity and Access Management
- Role-based access controls tailored for agents
- Federated identity integration with enterprise IAM systems
- Practical lab: setting up secure identities and permissions
Session Management and Security Measures
- Managing state at the session level
- Mitigating unauthorized data persistence and leakage
- Practical lab: applying secure session policies
Observability for AI Agents
- Implementation of structured logging and traceability
- Utilizing metrics to monitor agent behavior
- Practical lab: connecting AgentCore to observability dashboards
Compliance and Audit Trails
- Essential compliance frameworks relevant to AI agents
- Maintaining audit logs and trace records
- Practical lab: creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identification and response to security incidents
- Automation of alerts and escalation processes
- Practical lab: simulating a compliance breach situation
Best Practices and Enterprise Standards
- Strategies for safe deployment in regulated environments
- Building governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Future Directions
Requirements
- In-depth knowledge of enterprise security architectures
- Proficiency with compliance standards (such as GDPR, HIPAA, SOC 2)
- Experience with observability platforms and AWS services
Target Audience
- Security architects
- Compliance specialists
- Observability engineers
