Hive AI
CSAM Detection API
Thorn's industry-leading CSAM detection technology is seamlessly integrated into Hive's content moderation suite. By leveraging Thorn's expertise in child protection and Hive's cutting-edge AI, this integrated solution provides an effective approach to identifying and addressing CSAM within digital ecosystems.
Proactively detect known and new CSAM at scale
Proactively detect known and new CSAM at scale
CSAM is a serious risk
Platforms with user-generated content face challenges in preventing child sexual abuse material (CSAM). Failing to address CSAM risks can seriously impact a platform's stability and viability.
Protect your platform
Built by experts in child safety technology, Safer is a comprehensive solution that detects both known and new CSAM for every platform with an upload button.
Industry-leading CSAM detection by Thorn
Harness industry-leading CSAM detection developed by Thorn, a trusted leader in the fight against online child sexual abuse and exploitation.
Seamless integration
through Hive
Process high volumes with ease with Hive’s real-time API responses. Model responses are accessible with a single API call.
Industry-leading CSAM detection by Thorn
Industry-leading CSAM detection by Thorn
Using two equally important technologies – hash matching and artificial intelligence (AI) – Safer detects both known and unknown CSAM. Safer provides a layer of protection for your company’s brand, reputation, and user experience.
AI Classification Models
AI Classification Models
Proprietary Hashing & Matching
Proprietary Hashing & Matching
Seamless integration through Hive
Seamless integration through Hive
Speed at scale
We handle high volumes with ease and efficiency, serving responses to billions of API calls per month.
Simple integration
Hash matches and model responses are accessible with a single API call. Integrate Thorn's Safer into any application with just a few lines of code.
Proactive updates
Thorn maintains a database of 57M+ known CSAM hashes and receives daily NCMEC updates.
How you can use the CSAM Detection API today
How you can use the CSAM Detection API today
Image
For an image, simply send the image to us, and we will hash it using MD5 and Safer encryption algorithms. Once the image is hashed, we return the results in our output JSON. We also return the classifier score in the same response.
Video
For videos, we use MD5 hashes and Safer's proprietary perceptual hashing. MD5 will return exact match videos and will only indicate whether the whole video is a known CSAM video. Additionally, Thorn's proprietary perceptual scene sensitive video hashing (SSVH) technique splits videos into scenes and frames to identify CSAM with precision. We also return the classifier score in the same response. Note: For the Safer SSVH, videos are sampled at 1FPS.
Model Response