Context

Standard

B. Security

C. Safety

D. Reliability

E. Accountability

F. Society

Shaping the standard for agentic AI

Founding AIUC-1 Consortium Members

About the AIUC-1 Consortium

Enterprises are racing to adopt AI agents, but security, governance, and safety are lagging behind. Leaders across security, risk, and legal face tremendous pressure to balance innovation with security. The AIUC-1 Consortium unites security, risk, and legal leaders across industry, government, academia, and non-profits to shape AI best practices - defining how the world adopts AI agents securely and confidently.

Testimonials / Featured members

Recent research discussed

Research

SOC 2 solved SaaS trust - AIUC-1 solves AI trust

AIUC-1 builds on the principles that made SOC 2 the standard for cybersecurity - and evolves in the places where SOC 2 falls short.

Research

Comparison & Mapping: ISO 42001 and AIUC-1

As AI evolves, new standards are needed to ensure security, safety, and reliability. Two standards have emerged with distinct approaches: ISO 42001 focuses on establishing AI governance frameworks and management systems, while AIUC-1 focuses on validating the robustness of safeguards through independent technical testing.

Research

AI-Proofing The Board and C-suite

Dr. Keri Pearlson at MIT Sloan and Rajiv Dattani at AIUC have written a paper to AI-proof the Board and the C-Suite. The focus is on developing a new framework to enable at-scale enteprise AI adoption.

Research

MITRE ATLAS x AIUC-1

MITRE is now a technical contributor to AIUC-1. They contribute by creating and maintaining of MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems), a leading AI security framework.