Context

Standard

B. Security

C. Safety

D. Reliability

E. Accountability

F. Society

Certification

AIUC-1 certification Scoping Accredited auditors FAQ

Evidence overview

The standard for AI agent security, safety and reliability

Created with 100+ Fortune 500 CISOs to unlock enterprise adoption.
Covers all enterprise concerns. Grounded in testing. Refreshed quarterly.

AIUC-1 covers core enterprise risks

Security

Safety

Reliability

Accountability

Society

Data & Privacy

Protecting users and enterprises against data & privacy concerns through customer data policies, access controls, and safeguards against data leakage, IP exposure, and unauthorized training on user information.

Keywords

Data LeaksPII ProtectionIP Infringement

See requirements

AIUC-1 Technical Contributors & Consortium Members

Tom Zick, Director of Responsible AI

Aparna Chennapragada, CVP & Chief Product Officer for AI Experiences

Sanmi Koyejo, Leader, Trustworthy AI Research

Amyn Jan, Chief AI Architect

Jim Reavis, CEO

Phil Venables, fmr. CISO

Simon Hodgkinson, Fmr. CISO

Daniel Creed, CISO - Midwest

Neil Barlow, Fmr. Deputy CISO (Fintech) & Director of Cybersecurity at Meta

Omar Khawaja, VP and Field CISO

Jason Clinton, Deputy CISO

Bil Harmer, CISO

David Campbell, Head of AI Security Research

Dr Alex Shulman-Peleg, Global CISO

Keri Pearlson, Senior Lecturer and Principal Research Scientist

Lena Smart, Fmr. CISO

John Bautista, Partner

Slava Klimovs, Distinguished Engineer

Jason Witty, EVP & CISO

Vaibhav Garg, Executive Director, Cybersecurity and Privacy Engineering

Mark Hillick, CISO

Matt Fredrikson, CEO

Amy Larsen, Director

Gagandeep Singh, VP of Global Compliance & Certifications

Introducing AIUC-1

Built with industry leaders

Operationalizing trusted frameworks

Reliability

Learn more about AIUC-1

Research

Q2-2026 update: Strengthening MCP security, agent permissions & third-party risk

AI capabilities are reshaping cybersecurity faster than most frameworks can adapt - Mythos Preview is the latest proof point. AIUC-1 is updated quarterly to keep pace with shifts in technology, risk, and regulation. This quarter's refresh focused on MCP security, third-party risk management, and agent identity and permissions.

Research

From Consortium input to new controls: AIUC-1 quarterly update process

AIUC-1's quarterly cadence is deliberately faster than traditional standard-setting processes, enabled by a structured, repeatable process grounded in contributions from AIUC-1 consortium members, technical peer-review, and transparent change management. This quarter, over 120 Consortium members contributed through a series of technical sessions and 200+ peer-review comments.

Research

Whitepaper: 2026 - The End of Vibe Adoption

Executive briefing on AI security & latest research, presented by Sanmi Koyejo (Stanford Trustworthy AI Research Lab) & the AIUC-1 Consortium

Research

AIUC-1 prepares organizations to meet emerging state and local AI laws

Crosswalks mapping AIUC-1 to local and regional AI legislation from New York City, Colorado and California are now available, offering organizations a clear pathway to begin preparing for upcoming legal obligations

Research

Setting the standard for agentic automation

Agentic automation is transforming enterprise operations. But the capabilities that drive the value - autonomy, speed, and system access - are the same ones driving the risk. This is how we evolved AIUC-1 to address the unique challenges of agentic automation, drawing on Consortium member insights and Technical Contributors.

Research

AIUC-1 certification covers all OWASP Agentic Top 10 threats

Security leaders already rely on the OWASP Agentic Top 10 as the reference point for understanding the highest-impact agentic AI risk. Through AIUC-1’s partnership with the OWASP GenAI Security Project, we bring the latest community-led, expert-backed research and guidelines on agentic AI security into the standard.

Research

AIUC-1 is integrated into IBM Research AI governance solutions

Today we announce that AIUC-1 has been integrated into IBM Research’s AI Risk Atlas Nexus, creating a clear path for organizations to move from AI risk identification to certifiable, agent-specific controls. This marks the first step toward deeper integration with IBM watsonx.governance.

Research

ElevenLabs achieves AIUC-1 certification

ElevenLabs becomes the first voice AI company to achieve AIUC-1 certification and joins as Technical Contributor to bring security expertise to voice-specific requirements.

Research

OWASP AI Vulnerability Scoring System integrates AIUC-1

The partnership enables organizations to quickly identify risks associated with AI agent deployments, quantify those risks, and prioritize mitigations with AIUC-1

Research

Setting the standard for voice AI agents

Voice agents are growing rapidly in demand – but come with their own unique risks that must be managed appropriately. This is how we evolved AIUC-1 to cover voice agent security, safety and reliability, working with Technical Contributors from Stanford University, ElevenLabs and Gray Swan.

Research

Join the AIUC-1 community

Shape the new standard for AI agents as part of the AIUC-1 community, working alongside other AI builders, enterprise security leaders, and practitioners.

Research

Schellman becomes the first accredited auditor for AIUC-1

Schellman, a leading provider of attestation and compliance services, today becomes the first authorized auditor of AIUC-1, marking a significant milestone in AI compliance

Research

AIUC-1 operationalizes Cisco’s AI Security Framework

We are excited to announce Cisco as a technical contributor to AIUC-1. The standard will operationalize Cisco's Integrated AI Security and Safety Framework (AI Security Framework), enabling more secure AI adoption.

Research

Q1-2026 update: Detailed evidence requirements

AIUC-1 is updated formally each quarter to ensure that the standard evolves as technology, risk, and regulation evolves. The standard is updated in collaboration with AIUC-1 Technical Contributors, the AIUC-1 Consortium and external peer-reviewers.

Research

UiPath becomes Founding Technical Contributor to AIUC-1 to shape the standard for automation agent security

UiPath will bring expertise from working with 10,000+ customers globally, including 60%+ of the Fortune 500, to extend the industry’s leading AI security framework, AIUC-1, for automation agents.

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

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

The standard for AI agent security, safety and reliability

AIUC-1 covers core enterprise risks

Data & Privacy

AIUC-1 Technical Contributors & Consortium Members

Introducing AIUC-1

Built with industry leaders

Operationalizing trusted frameworks

Learn more about AIUC-1

Q2-2026 update: Strengthening MCP security, agent permissions & third-party risk

From Consortium input to new controls: AIUC-1 quarterly update process

Whitepaper: 2026 - The End of Vibe Adoption

AIUC-1 prepares organizations to meet emerging state and local AI laws

Setting the standard for agentic automation

AIUC-1 certification covers all OWASP Agentic Top 10 threats

AIUC-1 is integrated into IBM Research AI governance solutions

ElevenLabs achieves AIUC-1 certification

OWASP AI Vulnerability Scoring System integrates AIUC-1

Setting the standard for voice AI agents

Join the AIUC-1 community

Schellman becomes the first accredited auditor for AIUC-1

AIUC-1 operationalizes Cisco’s AI Security Framework

Q1-2026 update: Detailed evidence requirements

UiPath becomes Founding Technical Contributor to AIUC-1 to shape the standard for automation agent security

Comparison & Mapping: ISO 42001 and AIUC-1

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

MITRE ATLAS x AIUC-1

AI-Proofing The Board and C-suite