Securing AI Agents: Identity, Observability, and Compliance with AgentCore Training Course

Introduction to Secure Agent Operations for Government

• Challenges in Securing AI Agents within Government Enterprises
• AgentCore’s Security-Centric Design Principles for Government Use
• Overview of Identity, Observability, and Compliance Modules for Government Applications

Identity and Access Management for Government

• Role-Based Access Controls for AI Agents in Government Agencies
• Federated Identity Integration with Existing Government IAM Systems
• Hands-On Lab: Configuring Secure Identity and Permissions for Government Operations

Session Management and Security Controls for Government

• State Management at the Session Level for Government AI Agents
• Preventing Unauthorized Persistence and Data Leakage in Government Systems
• Hands-On Lab: Enforcing Secure Session Policies in a Government Context

Observability for AI Agents in Government

• Structured Logging and Traceability for Government Operations
• Metrics for Monitoring Agent Activity within Government Agencies
• Hands-On Lab: Integrating AgentCore with Government Observability Dashboards

Compliance and Auditability for Government AI Agents

• Key Compliance Frameworks Relevant to Government AI Agents
• Audit Logging and Trace Preservation for Government Audits
• Hands-On Lab: Generating Compliance-Ready Audit Trails for Government Use

Incident Response and Risk Mitigation for Government AI Agents

• Detecting and Responding to Security Incidents in Government Systems
• Automated Alerts and Escalation Workflows for Government Operations
• Hands-On Lab: Simulating a Compliance Breach Scenario in a Government Setting

Best Practices and Enterprise Patterns for Government AI Agent Operations

• Safe Rollout Strategies for Regulated Government Environments
• Designing Governance Models for Government AI Agent Operations
• Future Trends in AI Agent Compliance for Government

Summary and Next Steps for Government Agencies