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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Key enterprise challenges in AI agent security
- AgentCore’s security-centric design philosophy
- Introduction to identity, observability, and compliance components
Identity and Access Governance
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM platforms
- Practical lab: setting up secure identity and permissions
Session Security and Control Mechanisms
- Managing session-level state effectively
- Mitigating risks of unauthorized persistence and data leakage
- Practical lab: applying secure session policies
Observability Strategies for AI Agents
- Implementing structured logging and end-to-end traceability
- Utilizing metrics to track agent behavior
- Practical lab: connecting AgentCore to observability dashboards
Compliance and Audit Readiness
- Essential compliance frameworks for AI agents
- Managing audit logs and preserving trace data
- Practical lab: creating compliance-compliant audit trails
Risk Mitigation and Incident Response
- Identifying and managing security incidents
- Setting up automated alerts and escalation procedures
- Practical lab: role-playing a compliance breach scenario
Enterprise Best Practices and Patterns
- Developing safe deployment strategies for regulated sectors
- Crafting governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Further Learning Paths
Requirements
- Proficiency in enterprise security architectures
- Practical experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Working knowledge of observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
