Resolver Unveils Powerful New Service for Identifying Unknown CSAM
New service makes high-precision CSAM identification and classification capability available to platforms and services through the world's leading trust & safety intelligence provider.
The eco-system challenge: overwhelming volumes and AI exploitation by predators
In
A breakthrough enabled by partnership and unique data access
Resolver's Unknown CSAM Detection Service is built upon the Roke Vigil AI CAID Classifier, a machine learning solution trained directly on the UK Government's Child Abuse Image Database (CAID), developed under strict Home Office oversight and owned by Roke Manor Research and Vigil. This unique and proven capability allows the classifier to detect not only known and modified CSAM but also previously unseen, first-generation, and AI-generated material. Crucially, it also categorises imagery by severity to support faster and more effective triage.
Until now, the classifier has been reserved exclusively for law enforcement, scanning devices seized in criminal investigations. Through Resolver, it is now available to platforms to accelerate proactive approaches to child safety. Automated detection and classification of new and previously unseen CSAM allows high-risk content to be routed directly to the appropriate teams for assessment.
Equipped with suitable training and welfare support, these teams can act quickly to initiate safeguarding measures, protecting users while also shielding other operational staff from unnecessary exposure to traumatic content.
How it works: moving beyond hash-matching
The classifier is effective against known and, crucially, new and previously unseen imagery. The twin outputs enable partners to both identify and categorise CSAM, greatly aiding pace and accuracy.
Superior detection leverages two major advantages: the unparalleled quality of training data and direct training access to the world's most highly curated imagery dataset (CAID) in a secure laboratory environment. Each image is rigorously verified by three separate specialist officers to ensure all imagery meets the evidential bar. Each image is categorised as part of this process to denote the severity of abuse.
This allows the classifier to not only detect CSAM with high accuracy, but to also provide a classification for the severity of abuse (category A, B, C or indicative CSAM). The classifier is routinely re-trained to ensure that the model continues to reflect evolving abuse dynamics.
"The Roke Vigil AI CAID Classifier sets a new standard for automated, scalable detection of CSAM," said
Supporting the industry at scale
Resolver's Unknown CSAM Detection Service is available with a managed API and deployment support, enabling platforms to meet evolving regulatory expectations, protect their users, and reduce the operational burden on Trust & Safety teams.
"This launch is another commitment from Resolver to keep children safe and support Trust & Safety teams doing this vital work every day," said
About Resolver
Resolver, a Kroll Business, a leader in risk intelligence solutions, safeguards
About Roke Manor Research Ltd.
Roke is a world-class
For Trust & Safety platform or service enquiries:
[email protected]
View original content to download multimedia:https://www.prnewswire.com/news-releases/resolver-unveils-powerful-new-service-for-identifying-unknown-csam-302508166.html
SOURCE Resolver Inc.
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