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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Key challenges in securing AI agents at scale
- AgentCore’s design philosophy centered on security
- Introduction to identity, observability, and compliance modules
Identity and Access Governance
- Implementing role-based access controls for autonomous agents
- Integrating federated identities with enterprise IAM solutions
- Practical exercise: Setting up secure identity and permission configurations
Session Integrity and Security Protocols
- Managing state within agent sessions
- Preventing data leakage and unauthorized session persistence
- Practical exercise: Applying strict session security policies
Enhancing AI Agent Observability
- Utilizing structured logging for full traceability
- Defining metrics to track agent behavior and performance
- Practical exercise: Connecting AgentCore to observability dashboards
Regulatory Compliance and Audit Trails
- Overview of critical compliance frameworks applicable to AI
- Maintaining comprehensive audit logs and trace records
- Practical exercise: Creating compliant, audit-ready logs
Incident Handling and Risk Reduction
- Identifying and managing security threats
- Setting up automated alerts and escalation procedures
- Practical exercise: Simulating a regulatory breach scenario
Enterprise Best Practices and Architectural Patterns
- Strategies for safe deployment in regulated sectors
- Building governance models for agent lifecycle management
- Emerging trends in AI compliance and regulation
Wrap-Up and Future Directions
Requirements
- Proficiency in advanced enterprise security architectures.
- Working knowledge of compliance standards such as GDPR, HIPAA, and SOC 2.
- Experience with observability platforms and AWS service ecosystems.
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
