NIST Advisory

AI Risk Management Framework Implementation

AI-RMF-1.0 • Published January 26, 2024

Severity: medium

As companies use more AI, they face new security risks. Hackers can trick AI systems, poison their training data, or steal their models. NIST provides a guide for managing these new risks.

Overview

NIST guidance on managing risks associated with AI systems including cybersecurity considerations. Organizations using AI should assess risks from adversarial attacks, data poisoning, and model manipulation.

Who Is At Risk

  • • Organizations using AI/ML systems
  • • Technology companies
  • • Financial services
  • • Healthcare using AI diagnostics
  • • Autonomous systems operators

Is your business exposed?

Immediate Actions

  1. 1.

    Inventory all AI systems in use

  2. 2.

    Assess AI model security risks

  3. 3.

    Implement AI model access controls

  4. 4.

    Monitor for adversarial inputs

  5. 5.

    Establish AI incident response procedures

Official Source

https://www.nist.gov/itl/ai-risk-management-framework

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