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Course Outline
Introduction to Securing Agent Operations
- Challenges organizations face in securing AI agents
- Security-first design principles underlying AgentCore
- Overview of identity, observability, and compliance modules
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Lab: Configuring secure identity and permission settings
Session Management and Security Controls
- Managing session-level state effectively
- Preventing unauthorized data persistence and leakage
- Lab: Enforcing robust session security policies
Observability for AI Agents
- Utilizing structured logging for full traceability
- Defining metrics to monitor agent performance
- Lab: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Key regulatory frameworks relevant to AI agents
- Maintaining audit logs and preserving traces
- Lab: Generating audit trails that meet compliance requirements
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Setting up automated alerts and escalation procedures
- Lab: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated sectors
- Creating governance models for agent operations
- Emerging trends in AI agent compliance
Summary and Next Steps
Requirements
- Advanced knowledge of enterprise security architectures
- Hands-on experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS services
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
