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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise-specific challenges in AI agent security
- Exploring AgentCore’s core security-centric design principles
- Overview of identity, observability, and compliance components
Identity and Access Management
- Configuring role-based access controls for agent interactions
- Integrating federated identity with enterprise IAM systems
- Practical exercise: setting up secure identity and permission structures
Session Management and Security Protocols
- Managing state throughout agent sessions
- Mitigating risks of unauthorized data persistence or leakage
- Practical exercise: implementing robust session security policies
Observability for AI Agents
- Implementing structured logging and full traceability
- Utilizing metrics to monitor agent performance and behavior
- Practical exercise: connecting AgentCore to observability dashboards
Compliance and Audit Readiness
- Reviewing critical compliance frameworks applicable to AI agents
- Managing audit logs and ensuring trace preservation
- Practical exercise: creating audit trails that meet compliance standards
Incident Response and Risk Management
- Identifying and reacting to potential security incidents
- Setting up automated alerts and escalation procedures
- Practical exercise: simulating a compliance breach scenario
Best Practices and Enterprise-Grade Patterns
- Developing safe deployment strategies for regulated sectors
- Structuring governance models for agent lifecycle operations
- Examining future trends in AI agent compliance
Wrap-Up and Recommended Next Steps
Requirements
- In-depth knowledge of enterprise security architectures
- Practical experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
- Proficiency with observability platforms and AWS service offerings
Target Audience
- Security Architects
- Compliance Officers
- Observability Engineers
14 Hours
