Course Outline

Introduction to Secure Agent Systems

  • Security risks in multi-agent systems
  • Overview of CrewAI security capabilities
  • Compliance concerns in AI-driven workflows

Agent Identity and Authentication

  • Managing identities and roles
  • Secure communication between agents
  • Token-based authentication and OAuth integration

Data Privacy and Confidentiality

  • Data minimization and anonymization
  • Secure data exchange between agents
  • Encrypting sensitive inputs and outputs

Governance and Audit Logging

  • Audit trails for agent actions
  • Centralized logging and monitoring strategies
  • Enforcing governance policies across agents

Policy Enforcement and Compliance Frameworks

  • Aligning with industry compliance standards (e.g., GDPR, SOC 2)
  • Custom policy engines and compliance guards
  • Dynamic rules and policy-based decision making

Design Patterns for Secure Agent Collaboration

  • Event-driven task orchestration
  • Isolation of agent responsibilities
  • Fault tolerance and incident response strategies

Deployment and Monitoring at Scale

  • Security in CI/CD pipelines
  • Containerized deployment with Docker and Kubernetes
  • Monitoring compliance violations in real-time

Summary and Next Steps

Requirements

  • Experience with Python programming
  • An understanding of agent-based systems
  • Familiarity with cybersecurity and compliance principles

Audience

  • Security specialists
  • Enterprise AI leads
  • Compliance officers
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
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    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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