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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise-scale challenges in AI agent security
- Examining AgentCore’s security-centric design principles
- Reviewing the core modules for identity, observability, and compliance
Identity and Access Governance
- Implementing role-based access controls for agent entities
- Integrating federated identity with enterprise IAM systems
- Lab: Configuring secure identity protocols and permission sets
Session Integrity and Security Enforcement
- Managing state at the session level
- Mitigating risks associated with unauthorized data persistence and leakage
- Lab: Applying and enforcing strict session security policies
AI Agent Observability
- Establishing structured logging and end-to-end traceability
- Defining metrics for monitoring agent behavior and activity
- Lab: Connecting AgentCore to observability dashboards for real-time insight
Compliance and Audit Trails
- Navigating key compliance frameworks specific to AI agents
- Implementing audit logging and persistent trace storage
- Lab: Generating audit trails that meet compliance requirements
Incident Response and Risk Reduction
- Identifying and managing security incidents effectively
- Setting up automated alerting and escalation procedures
- Lab: Simulating and responding to a compliance breach scenario
Best Practices and Enterprise Standards
- Developing safe deployment strategies for regulated industries
- Architecting governance models for ongoing agent operations
- Exploring emerging trends in AI agent compliance
Conclusion and Path Forward
Requirements
- Proficient knowledge of enterprise security architectures
- Practical experience with regulatory frameworks (e.g., GDPR, HIPAA, SOC 2)
- Working familiarity with observability platforms and the AWS service catalog
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
