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Course Outline
Introduction to Secure Agent Operations
- Addressing enterprise challenges in securing AI agents
- AgentCore’s security-first design philosophy
- Overview of identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Hands-on lab: configuring secure identity and permission settings
Session Management and Security Controls
- Managing session-level state effectively
- Preventing unauthorised data persistence and leakage
- Hands-on lab: applying secure session policies
Observability for AI Agents
- Structured logging and end-to-end traceability
- Utilising metrics to monitor agent behaviour
- Hands-on lab: connecting AgentCore with observability dashboards
Compliance and Auditability
- Key compliance frameworks applicable to AI agents
- Generating audit logs and preserving trace records
- Hands-on lab: producing compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and responding to security incidents
- Setting up automated alerts and escalation workflows
- Hands-on lab: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe rollouts in regulated industries
- Designing governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- Advanced knowledge of enterprise security architectures
- Practical experience with compliance frameworks (e.g., GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS services
Audience
- Security architects
- Compliance officers
- Observability engineers
14 Hours
