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CSA's strategic programs driving innovation in AI, cloud, and Zero Trust.
A public-interest 501(c)(3) dedicated to secure and trustworthy AI.




Industry Leadership
Strategic Initiatives
CSA's strategic programs driving innovation in AI, cloud, and Zero Trust.
A public-interest 501(c)(3) dedicated to secure and trustworthy AI.

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STAR for AI Program Knowledge Guide

Released: 10/26/2026

STAR for AI Program Knowledge Guide
STAR for AI Program Knowledge Guide
Both enterprise service customers and service providers are experiencing a tremendous amount of pressure due to the accelerated growth and adoption of AI. Service customers are looking to rapidly onboard and ensure the security of the thousands of AI services they use. At the same time, service providers want to prove the security of their products to customers. 

To ease these pressures, the industry requires an AI security assurance program. In cybersecurity, assurance is a measure of confidence that an information system's security features, practices, procedures, and architecture accurately enforce the security policy. An industry-accepted AI security assurance program should be standards-based, recognized globally, able to quickly adapt to changes in the industry, and supported by experienced partners. 

The Security, Trust, Assurance, and Risk (STAR) for AI program is the world's largest and most complete AI security assurance program, and is the holistic solution that answers the assurance needs of customers and service providers alike.

Get a deep dive into the background of the program and its five pillars:
  • AI Controls Matrix (AICM): A framework of AI security controls derived from industry best practices.
  • STAR for AI Assessment Portfolio: A collection of globally recognized AI security assessments.
  • STAR Registry: A publicly accessible repository of thousands of STAR Assessments.
  • AI Assurance Education: The STAR AI Controls Auditor training program.
  • STAR for AI Extended: The elements of STAR for AI delivered in a customized fashion.

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