Key Takeaways for Platform Leaders Hash matching only detects previously identified CSAM. Any platform relying on it exclusively has a blind spot for first-generation and AI-generated content, the two fastest-growing categories. All recall rates are lab-measured. Ask whether the vendor’s
Key Takeaways for Platform Leaders On April 3, 2026, the EU’s temporary ePrivacy derogation expired, removing the harmonised legal basis that had allowed platforms to voluntarily scan communications for CSAM. A similar legal gap in 2020 produced a 58% drop
Key Takeaways for Platform Leaders Secondary traumatic stress in CSAM investigators mirrors clinical PTSD, with symptoms including intrusive imagery, nightmares, emotional numbing, and withdrawal from family. Investigators aren’t exposed to trauma secondhand; they review direct recordings of child abuse. A
Key Takeaways for Platform Leaders ✓ A New Mexico jury found Meta liable under the state’s Unfair Practices Act and imposed $375 million in civil penalties, making New Mexico the first state to prevail at trial against a major tech
Why Hash Matching Alone Can’t Protect Your Platform: The Case for AI-Powered Content Moderation in 2026 For online platforms handling user-generated content, relying solely on traditional detection methods is no longer enough to meet regulatory requirements or protect users. Here
This report explores the growing threat of AI-generated child sexual abuse material (AI-CSAM) in the United States. It examines how generative technologies are being used to create synthetic but hyper-realistic imagery that mimics CSAM, raising urgent ethical, legal, and enforcement
In the battle against child exploitation and human trafficking, digital forensics is crucial. Law enforcement officers often have to sift through hundreds of thousands of media files to find child sexual abuse material (CSAM) and related files. The priority is
In the realm of child sexual abuse material (CSAM) investigations, digital forensics has undergone significant advancements. From the early days of cryptographic hashing to the current era of AI-driven analysis, the evolution of image classification techniques has profoundly impacted law