Regulatory & Frameworks

Map Your AI Risk Landscape
Aligned with ISO/IEC 23894

Independent evaluation of your AI risk management practices aligned with ISO 23894 to identify, analyze, and mitigate AI-related risks across the lifecycle.

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    WHAT IS AN ISO/IEC 23894 AI Risk Assessment

    An ISO/IEC 23894 AI Risk Assessment is a structured and independent evaluation of how your organization identifies, analyzes, evaluates, and treats risks associated with Artificial Intelligence systems. ISO/IEC 23894 provides specific guidance on AI risk management, complementing broader management system standards such as ISO/IEC 42001 and ISO 31000.

    UNLOCK THE BENEFITS OF ISO/IEC 23894

    Risk Identification

    Strengthen AI risk identification

    Implement a structured methodology to detect AI-specific risks across design, development, and deployment phases.

    Prioritization

    Improve risk prioritization

    Apply consistent criteria to assess likelihood, impact, and severity of AI-related harms.

    Exposure

    Reduce legal and operational exposure

    Identify weaknesses in documentation, testing, monitoring, and control frameworks before incidents occur.

    ISO 42001

    Support ISO/IEC 42001 readiness

    Build the risk management foundation required for an AI Management System certification.

    Confidence

    Increase stakeholder confidence

    Provide documented, auditable evidence of structured AI risk oversight.

    ROADMAP TO AN ISO/IEC 23894 ASSESSMENT

    Week 1 Phase 1

    Scope Definition & Context Analysis

    Define AI system boundaries, business objectives, regulatory exposure, and stakeholder impact.

    Week 1-2 Phase 2

    Risk Identification

    Identify AI-specific risks across data governance, model performance, bias, security, misuse, transparency, and operational controls.

    Week 2-3 Phase 3

    Risk Analysis & Evaluation

    Assess likelihood, impact, detectability, and severity using structured risk criteria aligned with ISO/IEC 23894.

    Week 4 Phase 4

    Risk Treatment

    List control enhancements, monitoring mechanisms, and governance adjustments.

    Commitment to Excellence

    We operate as an accredited, independent assurance body, delivering certifications and audits that regulators, investors, and boards trust.

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    Accreditation

    Accredited as Conformity Assessment Body for AI Management Systems by ANAB (United States) and in the process for UKAS (United Kingdom) and ENAC (Spain - EU).

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    Credentials

    Our team is qualified by leading international organisations for training and certification in AI, data and privacy governance.

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    Memberships

    Member of IAPP, INCITS, UKAI and signatory to the EU AI Pact.

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    FREQUENTLY ASKED QUESTIONS

    Everything You Need to Know About ISO/IEC 23894

    What is ISO/IEC 23894?

    It is an international standard providing guidance on risk management specific to Artificial Intelligence systems.

    Is ISO/IEC 23894 certifiable?

    No. It is a guidance standard. This assessment measures alignment and implementation maturity rather than granting certification.

    Who should conduct this assessment?

    Organizations developing or deploying AI systems that require structured AI risk identification and mitigation practices.

    How long does it take?

    Typically four weeks, depending on AI system complexity and organizational maturity.

    What are the deliverables?

    A comprehensive AI risk register, risk evaluation matrix, control gap analysis, and a prioritized mitigation roadmap.

    How does it relate to ISO/IEC 42001?

    ISO/IEC 23894 focuses specifically on AI risk management and supports the risk component required within an ISO/IEC 42001 AI Management System.

    Your fast track to compliance starts here

    Our team is ready to support your compliance, cybersecurity, and privacy needs. Complete the contact form or reach out to hello@zertia.ai, and our experts will guide you through the next steps.