> ## Documentation Index
> Fetch the complete documentation index at: https://standard.aiuc-1.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AIUC-1 operationalizes emerging AI frameworks

> AIUC-1 mappings to external AI frameworks, standards, and regulations.

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# AIUC-1 operationalizes emerging AI frameworks

<div className="aiuc-framework-comparisons-intro">
  <p>AIUC-1 is designed to be:</p>

  <ul>
    <li><strong>Customer-focused.</strong> We prioritize requirements that enterprise customers demand and vendors can pragmatically meet, increasing confidence without adding unnecessary compliance.</li>
    <li><strong>Adaptable.</strong> We update AIUC-1 as regulation, AI progress, and real-world deployment experience evolves.</li>
    <li><strong>Transparent.</strong> We keep a public change log and share our lessons.</li>
    <li><strong>Forward-looking.</strong> We require AI vendors to conduct testing and review systems at least quarterly to ensure that an AIUC-1 certificate stays relevant.</li>
    <li><strong>Insurance-enabling.</strong> We emphasize the risks that lead to direct harms and financial losses.</li>
    <li><strong>Predictable.</strong> We review the standard in partnership with our technical contributors and push updates on January 15, April 15, July 15, and October 15 of each year.</li>
  </ul>

  <p>In practice, this means that <strong>AIUC-1 builds on other AI frameworks</strong> including the <a href="/crosswalks/eu-ai-act">EU AI Act</a>, the <a href="/crosswalks/nist-ai-rmf">NIST AI RMF</a>, <a href="/crosswalks/iso-42001">ISO 42001</a>, <a href="/crosswalks/mitre-atlas">MITRE ATLAS</a>, <a href="/crosswalks/csa-aicm">CSA AICM</a>, and the <a href="/crosswalks/owasp-agentic-top-10">OWASP Top 10 for agentic AI</a>.</p>
  <p><strong>AIUC-1 does not duplicate the work of non-AI frameworks like SOC 2, ISO 27001, or GDPR.</strong> Companies should ensure compliance with these frameworks as needed independently of AIUC-1.</p>
  <p>AIUC-1 is already being adopted by multiple AI vendors to address enterprise concerns. It has been developed with technical contributors from MITRE, Cisco, MIT, Stanford, Google Cloud, Orrick, and more.</p>
</div>

<div className="aiuc-framework-comparisons-table" />

| AIUC-1 is built on                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | AIUC-1 does not duplicate                                                                                                                                                                                                                                                                            |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| <div className="aiuc-table-list"><div className="aiuc-table-list-item"><a href="/crosswalks/eu-ai-act">EU AI Act</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/nist-ai-rmf">NIST AI RMF</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/iso-42001">ISO 42001</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/mitre-atlas">MITRE ATLAS</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/owasp-top-10">OWASP Top 10 for LLM Applications</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/owasp-aivss">OWASP AIVSS</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/owasp-agentic-top-10">OWASP Top 10 for Agentic Applications</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/ibm-ai-risk-atlas">IBM AI Risk Atlas</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/cisco-ai-security-safety-framework">Cisco AI Security & Safety Framework</a></div><div className="aiuc-table-list-item"><a href="/crosswalks/csa-aicm">CSA AI Controls Matrix</a></div><div className="aiuc-table-list-item">Regional U.S. AI legislation, including <a href="/crosswalks/nyc-ll-144">NYC Local Law 144</a>, <a href="/crosswalks/ca-sb-53">California's Transparency in Frontier AI Act</a>, and <a href="/crosswalks/co-ai-act">Colorado AI Act</a></div><div className="aiuc-table-list-item">Sector-specific AI legislation</div><div className="aiuc-table-list-item">OECD AI Principles</div></div> | <div className="aiuc-table-list"><div className="aiuc-table-list-item">AICPA SOC 2</div><div className="aiuc-table-list-item">EU GDPR</div><div className="aiuc-table-list-item">Canada Artificial Intelligence and Data Act (AIDA)</div><div className="aiuc-table-list-item">ISO 27001</div></div> |

## AIUC-1 operationalizes emerging AI legislation and best practices

<div className="aiuc-framework-comparisons-detail-table" />

| Framework                                 | Description                                                                                                                                                                                 | How AIUC-1 compares                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
| ----------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **EU AI Act**                             | EU regulation classifying AI systems by risk levels (minimal, limited, high, unacceptable) with corresponding obligations                                                                   | Operationalizes the EU AI Act by aligning with its requirements. Certification against AIUC-1 is a strong step towards compliance with the EU AI Act as it:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Enables alignment towards <em>minimal</em> and <em>limited</em> risk systems</div><div className="aiuc-table-list-item">Enables alignment towards <em>high risk</em> systems only if specific control activities are met (AIUC can help guide AI companies through this process)</div><div className="aiuc-table-list-item">Provides documentation for internal conformity assessments for <em>high risk</em> systems as required in <em>Annex VI</em></div></div><br />[EU AI Act crosswalk by article ->](/crosswalks/eu-ai-act)                                                                                    |
| **NIST AI RMF**                           | US government framework for managing AI risks throughout the AI lifecycle with four core functions: Govern, Map, Measure, Manage                                                            | Operationalizes the NIST AI RMF. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Translates NIST's high-level actions into specific, auditable controls</div><div className="aiuc-table-list-item">Provides concrete implementation guidance for key areas such as harmful output prevention, third-party testing and risk management practices</div></div><br />[NIST AI RMF crosswalk by function ->](/crosswalks/nist-ai-rmf)                                                                                                                                                                                                                                                                                                                                                                    |
| **ISO 42001**                             | International standard for AI management systems (AIMS) covering responsible AI development and deployment                                                                                  | Aligns with ISO 42001. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Incorporates the majority of controls from ISO 42001</div><div className="aiuc-table-list-item">Translates ISO's management system approach into concrete, auditable requirements</div><div className="aiuc-table-list-item">Extends ISO 42001 with third-party testing requirements of, e.g., hallucinations and jailbreak attempts</div><div className="aiuc-table-list-item">Addresses additional key concerns such as AI failure plans and AI-specific system security</div></div><br />[ISO 42001 crosswalk by clause ->](/crosswalks/iso-42001)                                                                                                                                                                        |
| **MITRE ATLAS**                           | Knowledge base of adversarial tactics, techniques and mitigation strategies for machine learning systems, similar to MITRE ATT\&CK for cybersecurity                                        | Integrates MITRE ATLAS, which is a technical contributor to AIUC-1. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Incorporates ATLAS mitigation strategies in requirements and controls</div><div className="aiuc-table-list-item">Strengthens robustness against the adversarial tactics and techniques identified in ATLAS</div><div className="aiuc-table-list-item">Goes beyond ATLAS's focus on security alone</div></div><br />[MITRE ATLAS crosswalk by mitigation strategy ->](/crosswalks/mitre-atlas)                                                                                                                                                                                                                                                                                   |
| **OWASP Top 10 for LLM Applications**     | Curated list of the most critical security threats to LLM and generative AI systems                                                                                                         | Integrates OWASP's Top 10 for LLM Applications. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Addresses Top 10 threats in requirements and controls</div><div className="aiuc-table-list-item">Strengthens robustness against the threats identified with concrete requirements and controls</div><div className="aiuc-table-list-item">Goes beyond OWASP's focus on security alone</div></div><br />[OWASP Top 10 crosswalk by threat ->](/crosswalks/owasp-top-10)                                                                                                                                                                                                                                                                                                                              |
| **OWASP AIVSS**                           | Scoring system for quantifying how agentic capabilities amplify security risks, producing numerical scores (0-10) that combine technical vulnerability severity with agent-specific factors | Integrates the OWASP AIVSS, which is a technical contributor to AIUC-1. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Covers all agent risks identified in AIVSS</div><div className="aiuc-table-list-item">Enables organizations to mitigate risks quantified in OWASP AIVSS</div><div className="aiuc-table-list-item">Incorporates AIVSS agent risk amplification factors in standard requirements</div></div><br />[OWASP AIVSS crosswalk by risk ->](/crosswalks/owasp-aivss)                                                                                                                                                                                                                                                                                                                |
| **OWASP Top 10 for Agentic Applications** | Curated list of the most critical security threats to autonomous AI agent systems                                                                                                           | Integrates OWASP's Top 10 for Agentic Applications. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Addresses Top 10 agentic threats in requirements and controls</div><div className="aiuc-table-list-item">Strengthens robustness against the threats identified with concrete requirements and controls</div><div className="aiuc-table-list-item">Goes beyond OWASP's focus on agentic risk alone</div></div><br />[OWASP Top 10 for Agentic Applications crosswalk by threat ->](/crosswalks/owasp-agentic-top-10)                                                                                                                                                                                                                                                                             |
| **IBM AI Risk Atlas**                     | Comprehensive taxonomy of risks associated with ML models, GenAI, and AI Agents from IBM Research                                                                                           | Integrates IBM Research's AI Risk Atlas, where IBM Research is a technical contributor to AIUC-1. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Maps AI Risk Atlas risks to concrete requirements and controls</div><div className="aiuc-table-list-item">Strengthens robustness against risks with concrete requirements and controls</div><div className="aiuc-table-list-item">Goes beyond AI Risk Atlas's risk identification alone</div></div><br />[IBM AI Risk Atlas crosswalk by risk ->](/crosswalks/ibm-ai-risk-atlas)                                                                                                                                                                                                                                                                  |
| **Cisco AI Security & Safety Framework**  | Comprehensive AI threat landscape taxonomy identifying 19 attacker objectives with 150+ subtechniques                                                                                       | Integrates Cisco's AI Security Framework, where Cisco is a technical contributor to AIUC-1. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Maps Cisco's AI threat taxonomy to concrete requirements and controls</div><div className="aiuc-table-list-item">Strengthens robustness against the attacker objectives and subtechniques identified by Cisco</div><div className="aiuc-table-list-item">Goes beyond threat identification to provide actionable, auditable requirements</div></div><br />[Cisco AI Security Framework crosswalk by threats ->](/crosswalks/cisco-ai-security-safety-framework)                                                                                                                                                                                         |
| **CSA AI Controls Matrix**                | Cloud Security Alliance's AI Controls Matrix providing security controls framework specifically designed for AI/ML systems                                                                  | Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Addresses key controls for AI vendors from the AICM such as adversarial robustness, system transparency, and documentation of criteria for cloud and on-prem processing</div><div className="aiuc-table-list-item">Enables a compliance burden significantly lower than CSA's AICM due to its targeted focus on top AI enterprise concerns</div><div className="aiuc-table-list-item">Avoids duplicating controls in areas where CSA is industry-leading, such as data center infrastructure, physical server security, and other domains outside of the AIUC-1 scope</div></div><br />[CSA AICM crosswalk by control ->](/crosswalks/csa-aicm)                                                                                                     |
| **Regional U.S. regulation**              | *e.g. NYC Local Law 144, California TFAIA, Colorado AI Act (SB 24-205)*                                                                                                                     | Simplifies alignment with regional U.S. regulation. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Addresses top concerns of emerging regional U.S. regulations such as the Colorado AI Act (SB 24-205) and NYC Local Law 144</div><div className="aiuc-table-list-item">Integrates controls for compliance obligations such as human-in-the-loop, appropriate data handling, and labelling AI clearly</div><div className="aiuc-table-list-item">Helps organizations proactively prepare for obligations from emerging AI legislation before entering into force</div></div><br />[NYC Local Law 144 crosswalk by section ->](/crosswalks/nyc-ll-144)<br />[Colorado AI Act crosswalk by section ->](/crosswalks/co-ai-act)<br />[California TFAIA crosswalk by section ->](/crosswalks/ca-sb-53) |
| **Sector-specific regulation**            | *e.g. HIPAA, Fair Credit Reporting Act, Fair Housing Act, FTC guidance on AI & algorithms*                                                                                                  | Simplifies alignment with AI requirements in sector-specific regulation. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Prepares organizations to comply with, e.g., FTC guidance on AI & algorithms</div><div className="aiuc-table-list-item">Addresses top concerns in sector-specific regulations such as discrimination and bias, human-in-the-loop, monitoring and logging, third-party interactions, and data handling in base requirements</div><div className="aiuc-table-list-item">Offers AI companies optional add-on requirements for relevant use cases, e.g., for financial transactions and PII handling</div></div>                                                                                                                                                               |
| **OECD AI Principles**                    | First inter-governmental AI standard (2019, updated 2024) with five principles for trustworthy AI adopted by 47+ countries                                                                  | Operationalizes OECD's AI Principles. Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Translates OECD's five principles into concrete, auditable requirements</div><div className="aiuc-table-list-item">Addresses additional key areas such as third-party testing, AI failure plans, and adversarial resilience</div></div>                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |

## Frameworks outside the scope of AIUC-1

<div className="aiuc-framework-comparisons-detail-table" />

| Framework                                                      | Description                                                                                                                      | How AIUC-1 compares                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
| -------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **AICPA SOC 2**                                                | Leading cybersecurity standard                                                                                                   | Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Extends SOC 2 Security controls specifically for AI systems, e.g., jailbreak attempts</div><div className="aiuc-table-list-item">Extends SOC 2 Privacy controls specifically for AI systems, e.g., data used for model training</div><div className="aiuc-table-list-item">Extends SOC 2 Availability controls specifically for AI systems, e.g., system reliability/hallucinations</div><div className="aiuc-table-list-item">Avoids duplication of existing requirements in SOC 2 on general cyber security best practices</div></div> |
| **Additional ISO standards including ISO 27001 and ISO 42006** | International standards for, e.g., information security management systems (ISMS)                                                | Certification against AIUC-1:<br /><div className="aiuc-table-list"><div className="aiuc-table-list-item">Focuses on ISO 42001, which is specific to AI systems</div><div className="aiuc-table-list-item">Extends several ISO 27001 controls into the AI domain including the Confidentiality-Integrity-Availability triad</div></div><br />*AIUC is following the newly-introduced ISO 42006 standard closely.*                                                                                                                                                                                                                                  |
| **EU GDPR**                                                    | European data protection regulation with AI-relevant provisions on automated decision-making, profiling, and data subject rights | AIUC-1 does not duplicate GDPR.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| **Canada Artificial Intelligence and Data Act (AIDA)**         | Canada's proposed Artificial Intelligence and Data Act regulating AI systems based on impact assessments and risk mitigation     | AIDA has not been passed into law yet.<br /><br />AIUC can help with guidance on how to meet AIDA once passed having incorporated similar principles of risk mitigation, risk assessment, transparency, and incident notification.                                                                                                                                                                                                                                                                                                                                                                                                                 |

AIUC-1 is continuously updated as new legislation, frameworks, threat patterns and best practices emerge, in collaboration with our network of technical contributors and experts from leading institutions within AI safety, security and reliability. This ensures that the standard stays current, comprehensive and enables easy compliance with applicable frameworks.

*Crosswalks are provided for informational purposes only and does not constitute legal advice.*

Last updated May 27, 2026.

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