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Duration 14 hours
Course Outline
Introduction to Secure Agent Operations
- Addressing enterprise challenges in securing AI agents
- AgentCore’s security-centric design principles
- An overview of the 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: configuring secure identity and permissions
Session Management and Security Controls
- Managing session-level state effectively
- Preventing unauthorized persistence and data leakage
- Practical lab: enforcing secure session policies
Observability for AI Agents
- Utilizing structured logging and traceability
- Tracking agent activity with relevant metrics
- Practical lab: integrating AgentCore with observability dashboards
Compliance and Auditability
- Key compliance frameworks applicable to AI agents
- Maintaining audit logs and trace preservation
- Practical lab: generating compliance-ready audit trails
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Setting up automated alerts and escalation workflows
- Practical lab: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated environments
- Building governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- A deep understanding of enterprise security architectures
- Practical experience with compliance frameworks such as GDPR, HIPAA, and SOC 2
- Working familiarity with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
