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Course Outline
Foundations of Secure Agent Operations
- Addressing enterprise-level challenges in securing AI agents.
- Exploring AgentCore’s security-centric design philosophy.
- Reviewing the core modules for identity, observability, and compliance.
Identity and Access Management
- Implementing role-based access controls for agents.
- Integrating federated identity with enterprise IAM systems.
- Practical exercise: Setting up secure identity frameworks and permissions.
Session Governance and Security Protocols
- Managing state at the session level.
- Mitigating risks of unauthorized persistence and data leakage.
- Practical exercise: Enforcing robust session security policies.
Observability Strategies for AI Agents
- Utilizing structured logging to ensure full traceability.
- Deploying metrics to monitor agent behavior.
- Practical exercise: Connecting AgentCore to observability dashboards.
Compliance Management and Audit Readiness
- Identifying key compliance frameworks relevant to AI agents.
- Maintaining audit logs and preserving trace data.
- Practical exercise: Creating audit trails that meet compliance standards.
Incident Response and Risk Reduction
- Identifying and managing security incidents.
- Configuring automated alerts and escalation processes.
- Practical exercise: Simulating a compliance breach scenario.
Best Practices and Enterprise Patterns
- Developing safe deployment strategies for regulated industries.
- Creating governance models for agent operations.
- Examining emerging trends in AI agent compliance.
Wrap-up and Recommendations
Requirements
- A sophisticated grasp of enterprise security architectures.
- Practical experience with compliance frameworks such as GDPR, HIPAA, and SOC 2.
- Knowledge of observability platforms and related AWS services.
Target Audience
- Security architects.
- Compliance officers.
- Observability engineers.
14 Hours
