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Course Outline
Introduction to Securing Agent Operations
- Addressing enterprise challenges in securing AI agents
- Exploring AgentCore’s security-centric design principles
- 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
- Practical exercise: Configuring secure identity and permission structures
Session Management and Security Controls
- Managing session-level state effectively
- Mitigating risks of unauthorized persistence and data leakage
- Practical exercise: Enforcing strict session security policies
Observability for AI Agents
- Utilizing structured logging and end-to-end traceability
- Monitoring agent activity through key metrics
- Practical exercise: Connecting AgentCore to observability dashboards
Compliance and Auditability
- Key regulatory frameworks applicable to AI agents
- Maintaining audit logs and preserving trace history
- Practical exercise: Generating audit trails that meet compliance standards
Incident Response and Risk Mitigation
- Identifying and addressing security incidents
- Setting up automated alerts and escalation procedures
- Practical exercise: Simulating a compliance breach scenario
Best Practices and Enterprise Patterns
- Strategies for safe deployment in regulated environments
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Path Forward
Requirements
- In-depth knowledge of enterprise security architectures
- Hands-on experience with compliance standards such as GDPR, HIPAA, and SOC 2
- Proficiency with observability platforms and the AWS ecosystem
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
