3 standards bodies wrote this down separately. None of them consulted the others. That is not a preference you can argue with, it is what happens.From 4 controls across our corpus
ASEAN Guide on AI Governance and Ethics Evidence & Implementation Kit
This is the complete documentation set: an adopt-ready artifact for every control in policy and procedure text you edit rather than draft, and the evidence checklist an auditor asks for against each.
See what is in it, $249
The same set every buyer of this kit receives. Nothing here is produced on request.
Who warns about it
Every framework below independently names this failure. They were written by different
bodies, in different jurisdictions, for different industries, and they agree.
What an auditor asks for
The artefacts named on the controls that warn about this failure. This is what closes
it, and what you will be asked to produce when somebody checks.
- Quality assurance procedure for risk assessments
- Peer review records on assessment outputs
- Source citation requirements for risk inputs
- Audit trail of changes to risk records
- Independent validation of high impact assessments
- Incident notification policy and timing matrix
What closing it also buys you
The 12 controls that warn about this failure map onto controls in other
frameworks. Close them here and this much of each of those is closed too. It is the same work
counted once, which is usually the difference between a programme that finishes and one that
does not.
FedRAMP High4
FedRAMP Moderate5
SOC 223
NIST SP 800-53 Rev 53
NIST SP 800-53 Revision 5.1 HIGH3
NIST SP 800-53 Rev 5 MODERATE3
ISO 27701:20196
NIST SP 800-53 Rev 5 LOW4
Switzerland New Federal Act on Data Protection (nFADP/nDSG, 2023)14
GDPR17
ISO 27001:20224
South Korea ISMS-P20
Scaled against the framework this reaches furthest into, not against a hundred
percent. Exact figures below.
| Also progresses | Covered |
Controls reached |
|---|
| FedRAMP High United States | 4.1% | 17 of 410 |
| FedRAMP Moderate United States | 5.3% | 17 of 323 |
| SOC 2 United States | 23.0% | 14 of 61 |
| NIST SP 800-53 Rev 5 United States | 3.4% | 11 of 320 |
| NIST SP 800-53 Revision 5.1 HIGH United States | 3.2% | 10 of 317 |
| NIST SP 800-53 Rev 5 MODERATE United States | 3.6% | 10 of 275 |
| ISO 27701:2019 International | 6.2% | 9 of 145 |
| NIST SP 800-53 Rev 5 LOW United States | 4.6% | 8 of 173 |
| Switzerland New Federal Act on Data Protection (nFADP/nDSG, 2023) Switzerland | 14.3% | 8 of 56 |
| GDPR European Union | 17.5% | 7 of 40 |
| ISO 27001:2022 International | 4.0% | 5 of 125 |
| South Korea ISMS-P South Korea | 20.0% | 5 of 25 |
Read as: closing this failure reaches that share of the named
framework's control library through cross-framework mappings held in our corpus. It is not a
claim of compliance with that framework, it is a measure of how much of it you have already
touched.
Where this comes from
Harvested from the control library itself. Every control in our corpus carries the evidence an
auditor expects and the ways implementations commonly fail, recorded when that control was
verified against its source document. This page is those two fields, for one failure, across
every framework that names it.
The overlap is computed by traversing
332,959 cross-framework control mappings out from the specific controls that
warn about this failure, not from the frameworks they sit in. Those mappings were built control
by control against source documents.
Nothing here is inferred, predicted or scored. The number at the top
is a count of frameworks.
All failure modes ยท
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