ISO/IEC 42001 Artificial Intelligence Management System
International standard for AI management systems. Provides framework for responsible AI development with continuous monitoring of model-data interactions.
What ISO/IEC 42001 draws on
This framework pulls on 2 pillars of the platform.
Compliance
- Sensitive Data DiscoveryFinds and classifies the regulated data, so everything downstream knows what is in scope.
- Policy & ComplianceTurns the captured activity into the report shape the framework asks for.
- Compliance Advisory ServicesOrganises the gap register, the remediation roadmap, and the auditor-ready pack.
What your auditor cites,
and what produces the evidence
The regulator's text is quoted below in italic, exactly as written. What follows each one is what the platform records, detects, or proves — not a claim about your compliance status, which no tool can confer.
AI Risk Assessment
Organizations MUST assess AI system risks including bias, drift, and data quality issues.
An assessment is only defensible if the findings in it are observed rather than asserted. Discovery supplies what regulated data exists and where, scanning supplies the configuration and exposure posture, and the audit trail supplies who has actually been reaching it — so the assessment describes the estate as measured. Our advisory engagements then map each finding to the specific mandate it touches and sequence the remediation.
AI System Monitoring
REQUIRES continuous monitoring of AI model performance and data interactions.
A record of processing is only as good as the layer producing it. Real-time SQL auditing captures every statement against the data — the identity, the session, the client, the objects touched, the outcome — with no nightly batch window where activity goes unrecorded. Classification is what makes that a record of *regulated* data rather than a log of everything: it tells you which tables are in scope, so the register describes the processing you actually have to declare. Policy templates then produce it in the shape the framework asks for, instead of leaving you to assemble it from raw logs the week before an inspection.
Performance Evaluation
Organizations MUST monitor, measure, analyze, and evaluate AI system performance.
A record of processing is only as good as the layer producing it. Real-time SQL auditing captures every statement against the data — the identity, the session, the client, the objects touched, the outcome — with no nightly batch window where activity goes unrecorded. Classification is what makes that a record of *regulated* data rather than a log of everything: it tells you which tables are in scope, so the register describes the processing you actually have to declare. Policy templates then produce it in the shape the framework asks for, instead of leaving you to assemble it from raw logs the week before an inspection.
Nonconformity Management
AI failures MUST be documented, investigated, and corrected with audit trail.
Framework audits do not ask whether you own a tool; they ask you to demonstrate that a named control operated over a period. Access reviews, privileged activity, change monitoring, and audit-log integrity are produced from the activity already being captured and mapped to the control they satisfy, with dashboards showing posture over the audit window rather than at a single point. Our evidence-pack engagement formats it the way assessors expect and answers the database-controls questions on the call.
What ISO/IEC 42001 covers
This instrument defines no data category of its own. Governs an AI management SYSTEM. It defers to whichever data protection regime applies for what the data actually is.
How ISO/IEC 42001 is enforced
Every figure below is the ceiling the instrument publishes about itself, not a prediction of what anything would cost. Enforced by Your certification body, at surveillance and recertification audits.
A voluntary standard. No regulator enforces it.
ISO/IEC 42001 certifies an AI management system. Nobody can sanction you for lacking one. It is increasingly asked for in procurement, and it is a credible way to evidence the governance the AI Act expects, but the standard and the Regulation are separate things.
A 42001 certificate is not a conformity assessment under the AI Act and does not substitute for one.
Uncapped exposure that sits outside this instrument
These come from company law rather than from ISO/IEC 42001, and they are not penalties — they are liability for a loss, which is why nothing caps them at a published maximum.
Duty of oversight
Delaware, and followed in most US corporate jurisdictions. It is a rule of company law, not of any privacy or security statute.
Triggered by. A sustained or systematic failure by the board to establish a reporting system for a mission-critical risk — or, having one, consciously disregarding what it reported. The second limb is what a documented, unremediated finding goes to.
Who. Directors, in their personal capacity, in a derivative action brought on behalf of the company.
This is liability for the loss the company suffered, not a statutory penalty, so nothing caps it at a published maximum. A bad-faith finding also takes the conduct outside the exculpation and indemnification the charter would otherwise provide.
In re Caremark Int’l Deriv. Litig. (Del. Ch. 1996); Marchand v. Barnhill (Del. 2019); In re Boeing Co. Deriv. Litig. (Del. Ch. 2021).
Enforcement data reviewed August 2026. Several figures are indexed annually and move.
Built for ISO/IEC 42001,
not configured for it afterwards
AIMS Monitoring Policy
Continuous monitoring of AI model-data interactions
ISO 42001 Audit Evidence
Documented bias and drift audits for certification
AI System Data
Identify model parameters, training data, and outputs
Model Drift Alert
Alert on AI performance degradation or bias detection
Other AI & Technology frameworks
Walk into the ISO/IEC 42001 audit knowing the answer
228 cited requirements across 57 frameworks are mapped to the controls that evidence them. A fixed-fee gap assessment tells you which of them you can already prove today.