Reducing the burden of large-scale media review
Digital media investigations often involve millions of images and videos, making it difficult to identify related evidence quickly. This session explores how T3K CORE and Magnet Griffeye use AI-powered conceptual similarity search to help investigators find images and videos depicting the same locations, scenes, objects, or activities using either natural language descriptions or example media. CORE enables text-to-image and image-to-image searching across vast media collections, allowing investigators to uncover hidden connections, accelerate victim identification, reduce review workloads through de-duplication and intelligence sharing, and perform rapid searches across millions of media items. Attendees will see how CORE and Griffeye (Ops and Enterprise) combine AI-driven media analysis, global similarity search, and integrated intelligence workflows to help investigators find relevant evidence faster while reducing the burden of large-scale media review.