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 Duration 14 hours

Course Outline

Introduction to Secure Agent Operations

  • Challenges in securing AI agents within enterprise contexts
  • AgentCore’s security-centric design philosophy
  • Overview of identity, observability, and compliance components

Identity and Access Management

  • Implementing role-based access controls for agents
  • Integrating federated identity with corporate IAM systems
  • Lab exercise: Configuring secure identity and permission settings

Session Management and Security Controls

  • Managing session-level state and context
  • Mitigating risks of unauthorized data persistence or leakage
  • Lab exercise: Enforcing robust session security policies

Observability for AI Agents

  • Implementing structured logging and trace tracking
  • Defining metrics to monitor agent behavior
  • Lab exercise: Connecting AgentCore to observability dashboards

Compliance and Auditability

  • Core compliance frameworks applicable to AI agents
  • Managing audit logs and retaining trace data
  • Lab exercise: Creating compliance-compliant audit trails

Incident Response and Risk Mitigation

  • Identifying and addressing security breaches
  • Configuring automated alerts and escalation procedures
  • Lab exercise: Simulating a compliance violation scenario

Best Practices and Enterprise Patterns

  • Strategies for safe deployment in regulated industries
  • Building governance structures for agent operations
  • Emerging trends in AI agent compliance

Summary and Next Steps

Requirements

  • In-depth knowledge of enterprise security architectures
  • Practical experience with compliance standards (e.g., GDPR, HIPAA, SOC 2)
  • Proficiency with observability tooling and AWS platform services

Target Audience

  • Security architects
  • Compliance officers
  • Observability engineers

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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