United Kingdom, UK-wide

Home Office

CSAM Detection and Classification (Vigil AI / CAID), supplied by Roke (Vigil AI classifier); Qumodo and Cyan Forensics also credited

OperationalOfficial publicationPAI-ACD4B53A

Body
Home Office
Country
United Kingdom
Area
UK-wide
Technology
CSAM Detection and Classification (Vigil AI / CAID)
Supplier
Roke (Vigil AI classifier); Qumodo and Cyan Forensics also credited
Programme
Child Abuse Image Database (CAID)
Status
Operational
In routine use by the named body, on the evidence of a public source.
Stage
In use now
Since
2014
Legal basis
Home Office programme with a published privacy notice; no dedicated statute identified
Oversight
None named externally; Home Office CAID team
Evidence
Official publication
Police force, government department or public body publication
Source
GOV.UK CAID privacy notice; Roke white paper; Computer Weekly
Last checked
Record code
PAI-ACD4B53A

Notes

CAID is the UK's national hash-matching database of child sexual abuse imagery, live since Dec 2014 and used by all territorial forces, Police Scotland, PSNI and the NCA. The AI layer -- the Vigil AI CAID Classifier, built with Roke -- trains on the CAID corpus to detect previously unseen CSAM, including deepfake CSAM, and grade severity against government categories, going beyond hash-matching's ability to only catch already-known material. Roke describes it as (in the supplier's own words) the first operationally viable classifier able to both detect and grade. Home Office had invested £18.2m by 2019 with a further £1.76m on AI/fast-forensic tools. A May 2024 Home Office market notice signalled a possible move to public cloud hosting, reversing a 2020 legal opinion against cloud hosting for this data; outcome not established. This is the only documented operational police deployment of AI against synthetic/deepfake media found in this research pass.

Recorded for the Home Office, which runs CAID. All UK territorial forces, Police Scotland, the PSNI and the NCA use it.

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