Implementing ISO 42001 with tooling: inventory, risks and evidence in one platform

An ISO 42001 implementation has the same administrative challenges as ISO 27001, with one extra complication: the subject moves faster. AI systems are updated, vendors add functionality and new tools appear continuously. An AI management system you track in spreadsheets is therefore outdated within a few months. Tooling here is not a luxury but a necessity to keep the AIMS alive. This article shows how a GRC platform supports the implementation of ISO 42001.

The AI inventory as a living register

The foundation of ISO 42001 is the AI inventory. The problem is not only creating that inventory, but keeping it current. In a platform you record the AI systems as a living register: per system the purpose, the vendor, the data it uses, the risk classification and the owner. When a new system is procured or an existing tool adds AI functionality, you register it in one place instead of in a spreadsheet no one opens anymore. This prevents shadow AI, the unseen use of AI outside the view of governance.

Risk assessment and impact assessments linked

In the platform you link the risk assessment and, where needed, an impact assessment to each AI system. Because risks, controls and systems live in the same system, you immediately see which controls belong to which risk and where gaps remain. If a system changes character, for example by being deployed for a new purpose, you signal that the risk assessment needs revision. That is exactly the kind of follow-up that gets lost in a static document.

Evidence for the AIMS controls

As with ISO 27001, the auditor wants to see that the controls work. In a platform you link evidence directly to the control: evidence of human oversight, documentation of model validation, supplier agreements and monitoring results. The platform tracks when evidence expires, so your AIMS stays demonstrably maintained instead of degenerating into a paper tiger.

Making governance visible

ISO 42001 requires clear responsibilities. A platform makes explicit who owns which AI system and which risks. This supports the governance model in which the business owns the outcomes and security and compliance advise. Because responsibilities are visible, governance becomes a workable process instead of an org chart on paper.

Ongoing monitoring instead of a snapshot

The biggest pitfall with ISO 42001 is that the AIMS stalls after certification. With continuous monitoring a platform signals when an AI system must be reassessed, when evidence expires or when a new system was added without assessment. This maintains the rhythm needed in a fast-changing AI landscape.

One platform for ISO 42001 and ISO 27001

Many organizations implement ISO 42001 alongside an existing ISO 27001 system. A platform that supports both standards prevents duplicate administration. You register shared controls once and link them to both standards, while AI-specific controls stay separate. That makes an integrated implementation considerably more efficient than two separate projects.

Tooling accelerates, expertise steers

Here too: a platform accelerates and structures, but does not replace substantive knowledge. The assessment of whether an AI system is high-risk, the implementation of human oversight and the consideration of bias and transparency remain human work. The value of tooling lies in oversight, traceability and keeping the system alive; the substantive steering comes from auditors and the organization itself.

Secure Audit implements ISO 42001 with support from our own GRC tool, in which the AI inventory, risk assessment, impact assessments and evidence come together, alongside an existing ISO 27001 system if present. Get in touch for a demonstration or a conversation about AI governance.