# 6.4.2.5 Identification of controls

The organization should identify the controls already in place that affect the AI risk, including technical measures in the system, organizational measures around it and the human oversight applied, and how effective they are. The artefact behind the answer is register of existing controls per AI system with their effectiveness. The step before 6.4.2.5 supplies its input, so run both together.

- Framework: ISO/IEC 23894:2023
- Cited to: ISO/IEC 23894:2023, clause 6.4.2.5
- Source: https://www.iso.org/standard/77304.html
- Last updated: 2026-10-20

## What it asks

The organization should identify the controls already in place that affect the AI risk, including technical measures in the system, organizational measures around it and the human oversight applied, and how effective they are.

## Where generative AI changes the answer

Controls for generative AI are layered, from retrieval filters and output checks to a named human who signs off before the output is used.

## Who it binds

The AI risk owner, the assessment team and the business owner of each generative AI use.

## Evidence an auditor samples

- Register of existing controls per AI system with their effectiveness

## The test you can run

Ask for one completed assessment for a live use, with its criteria, its analysis and its treatment decision.

## Common failures

- Existing controls assumed effective without evidence

## Before the draft publishes

Run the step once, by hand, on one live generative AI use, and keep the working paper. A method that has never been run on a real use is a template.

## What this page does not say

It does not state the text of ISO/IEC DTS 25568, because ISO has not published the draft's clause text. It does not certify anything.

Not legal advice; does not certify.
