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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Enterprise-specific challenges in securing AI agents
- Security-first design principles underlying AgentCore
- Survey of identity, observability, and compliance modules
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical exercise: Setting up secure identity and permission structures
Session Management and Security Enforcement
- Managing state at the session level
- Safeguarding against unauthorized persistence and data leakage
- Practical exercise: Enforcing robust session security policies
Observability for AI Agents
- Implementing structured logging and traceability
- Defining metrics to monitor agent behavior
- Practical exercise: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Essential compliance frameworks applicable to AI agents
- Maintaining audit logs and preserving trace data
- Practical exercise: Creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and addressing security incidents
- Configuring automated alerts and escalation processes
- Practical exercise: Simulating a compliance breach scenario
Best Practices and Enterprise Architectures
- Strategies for safe deployment in regulated sectors
- Constructing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Path Forward
Requirements
- Profound knowledge of enterprise security architectures
- Practical experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Working familiarity with observability platforms and AWS services
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
