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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise-level challenges in securing AI agents
- Examining AgentCore’s security-centric design philosophy
- An overview of 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: Setting up secure identities and permissions
Session Management and Security Measures
- Managing state at the session level
- Mitigating risks related to unauthorized persistence and data leakage
- Practical lab: Applying secure session policies
Observability for AI Agents
- Implementing structured logging and traceability
- Utilizing metrics to monitor agent performance and activity
- Practical lab: Connecting AgentCore to observability dashboards
Compliance and Audit Capabilities
- Key regulatory frameworks applicable to AI agents
- Maintaining audit logs and trace preservation
- Practical lab: Creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and managing security incidents
- Configuring automated alerts and escalation procedures
- Practical lab: Simulating a compliance breach scenario
Best Practices and Enterprise Architectures
- Strategy for safe deployment in regulated sectors
- Developing governance models for agent operations
- Emerging trends in AI agent compliance
Conclusion and Recommendations
Requirements
- A deep understanding of enterprise security architectures
- Proficiency with compliance frameworks such as GDPR, HIPAA, or SOC 2
- Working knowledge of observability platforms and AWS services
Intended Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
