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Exiphore: Deepfake Detection and Synthetic Media Forensics

Video, image, audio, documentsEight evidence familiesCourt-ready reportsRuns on your infrastructure

In short

Exiphore is a forensic deepfake detector from AI Anytime for investigators and law enforcement. It examines video, images, audio and documents across eight independent evidence families, preserves provenance, and produces court-ready reports — deployed on the customer's own infrastructure so evidence never leaves their estate.

Beyond “is it fake?”

Independent forensic measurements are pooled and calibrated, each stating what it cannot show, so findings can be defended.

Evidence stays yours

Deployed on your infrastructure with provenance preserved end to end.

Key facts

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Law enforcement, investigators and forensic teams

FAQs

Exiphore: FAQs

More answers on the FAQ page, or ask us.

What is Exiphore?

Exiphore is an AI Anytime product for forensic deepfake detection and synthetic media authentication, built for law enforcement and investigators.

How does Exiphore detect deepfakes?

Instead of one model giving one score, Exiphore runs independent forensic measurements across eight evidence families, pools and calibrates them, and states what each signal can and cannot show.

What media can Exiphore examine?

Video, images, audio and documents — including re-encoded social media evidence, cloned voices and AI-generated or manipulated files.

Can Exiphore run on a customer's own infrastructure for law enforcement or forensic work?

Yes. Exiphore is deployed on the customer's own infrastructure, so evidence never leaves their estate, and it preserves provenance end to end for court-ready reporting.

Is Exiphore suitable for investigating video, image, audio and document evidence in a legal setting?

Yes. Exiphore is built for police, cyber crime units, forensic laboratories and prosecution. It examines video, images, voice, text and documents, and every examination produces a record an examiner can sign and another expert can interrogate: the measurements, the interval that bounds the finding, and what each signal cannot show.

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