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Course Outline
Introduction to Secure AI Agent Operations
- Addressing enterprise challenges in securing AI agents
- Understanding AgentCore’s security-centric design principles
- Overview of the identity, observability, and compliance components
Identity and Access Management
- Implementing role-based access controls for agents
- Integrating federated identity with enterprise IAM systems
- Practical lab: configuring secure identities and permissions
Session Management and Security Protocols
- Managing session-level state effectively
- Mitigating risks of unauthorized data persistence and leakage
- Practical lab: enforcing strict session security policies
Observability for AI Agents
- Utilizing structured logging and end-to-end traceability
- Tracking agent activities through key performance metrics
- Practical lab: connecting AgentCore to observability dashboards
Compliance and Auditability
- Identifying key compliance frameworks applicable to AI agents
- Maintaining audit logs and preserving transaction traces
- Practical lab: generating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and addressing security incidents promptly
- Setting up automated alerts and escalation processes
- Practical lab: simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Developing safe deployment strategies for regulated sectors
- Creating governance models for effective agent operations
- Exploring emerging trends in AI agent compliance
Course Summary and Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Working experience with compliance standards such as GDPR, HIPAA, and SOC 2
- Proficiency with observability platforms and core AWS services
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
