Platform
All risk signals in one place
Detection, analytics, and response together — built to catch deepfakes, forged documents, and social-engineering attacks before they land.
Visual
Deepfaked faces and AI generated images and videoIdentity & documents
Forged IDs, tampered paperwork, and synthetic identitiesOn-device
Real-time & secure detection with Halo
Eva V1.6 Detection Model — our detection engine
Eva V1.6 is the unified API behind every result: real-time analysis of video, images, and documents, trained on the largest library of real attack media — and retrained as fast as generation techniques evolve. Every session is scored for manipulation signals and returned with a confidence level. Explore Eva V1.6 →
Risk Signals
Monitor threat activity and trends across your organization. Dashboards surface where attacks concentrate so you can act on patterns, not single incidents. See Risk Signals →
API & SDK
One detection API for the places fraud happens: send video, images, or documents and get a scored result back — wire it into onboarding flows, support channels, and content pipelines. Native SDKs are on the way. Deploy in the cloud or on-prem; how we handle, retain, and delete submitted media is documented in the Trust Center. Build with the API →
Halo — on-device deepfake detection AI
The world's first on-device deepfake detection. Halo runs detection AI directly on your device: video calls are analyzed locally, in real time — deepfaked faces, replayed backgrounds, injected video — and nothing leaves your machine. Meet Halo →
Detection modules
Purpose-built signals you can turn on for the exact fraud you face.