+
Skip to content

Protect your child: Explore Thorn’s Deepfake Nudes Resource Guide

SOLUTIONS FOR VICTIM IDENTIFICATION

Here to help you find children faster

Behind every file of child sexual abuse material (CSAM) is a child. Thorn’s technology adds efficiency to the work you’re already doing, so you can find victims of child sexual abuse faster.

A collection of graphics connected together by a colorful line.


We’re fighting the good fight together

350+agencies in 50 countries use Thorn technology to keep children safe

32%average triage time saved by users of our CSAM Classifier*

*Based on 55 CSAM Classifier user responses to a 2023 user survey

Together, we can protect more children

You show up every day, on the frontlines, ready to fight for children being harmed. We’re by your side, providing tools, data, and resources so you can identify more children faster and more efficiently.

The children you’ll never see, never meet, and sometimes never even know about are thankful for you.

Investigator, United States

Thorn Detect

Accelerate your investigations with AI-powered detection. Using state-of-the-art machine learning models, Thorn Detect quickly identifies potential child sexual abuse images and videos on a digital device, helping investigators speed up case resolution, prioritize the most critical files, and ultimately safeguard children faster.

For Investigators

Already working with one of our partner platforms? Access Thorn Detect directly through:

  • Griffeye logo
  • Magnet Forensics logo

For Digital Forensic Platforms and Law Enforcement Agencies

Looking to integrate Thorn Detect directly into your platform or workflow?

Let’s Connect


Ecosystem partnerships

When it comes to safeguarding childhood joy, we each have a unique role to play. But the children we serve rely on us to work together — to amplify our impact by working as a collective.


INHOPE

Thorn is a partner and advises on developments, trends, and perspectives across the online childhood protection ecosystem.


INHOPE Global
Standard Project

The Global Standard project combines the experience of global experts to create a shared CSAM ontology for the categorization of CSAM. Thorn has helped develop the Universal Classification Schema as part of this project — and continues to advocate for its adoption.


INTERPOL

Thorn participates to INTERPOL’s Crimes against Children Unit’s activities, leveraging technical components and data, to overcome technical challenges that investigators face, by contributing with expertise and leadership, and supporting the international community to identify children faster.

  • Interpol logo

Ready to work together?

Learn more about how Thorn can help you defend children.

点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载