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Duration 14 hours
Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise-specific challenges in AI agent security
- Examining AgentCore’s security-centric design philosophies
- Exploring the core modules of identity, observability, and compliance
Identity and Access Management
- Configuring role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical session: Setting up secure identity and permission frameworks
Session Management and Security Protocols
- Managing state at the session level
- Safeguarding against unauthorized persistence and data leakage
- Practical session: Applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Utilizing metrics to monitor agent behavior
- Practical session: Connecting AgentCore to observability dashboards
Compliance and Audit Readiness
- Understanding critical compliance frameworks for AI agents
- Maintaining audit logs and trace integrity
- Practical session: Creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and addressing security incidents
- Designing automated alerts and escalation procedures
- Practical session: Simulating a compliance violation scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated sectors
- Architecting governance models for agent operations
- Emerging trends in AI agent compliance
Conclusions and Further Learning Paths
Requirements
- In-depth knowledge of enterprise security architectures
- Proficiency with compliance frameworks such as GDPR, HIPAA, and SOC 2
- Working familiarity with observability platforms and AWS services
Target Audience
- Security architects
- Compliance officers
- Observability engineers
