
Exiphore
Exiphore is a forensic media authentication platform for examining video, images, audio, documents, and text for signs of synthetic generation or manipulation.
What Exiphore is
Exiphore is a forensic media authentication platform for examining video, images, audio, documents, and text for signs of synthetic generation or manipulation. It combines eight independent evidence families and pools related measurements to avoid double-counting. Each exhibit can receive a finding, evidence breakdown, confidence interval, quality ceiling, custody record, examiner adjudication, and digest-sealed PDF report; ambiguous evidence may be marked inconclusive. A qualified, named examiner must review measurements and sign before an expert opinion is released. Submissions can be individual, batched, provided by URL, or taken from a monitored path, with fingerprints linkable across cases as investigative leads. The platform installs on customer infrastructure, including air-gapped and private-cloud environments, and needs no specialised accelerator on standard server hardware. Original evidence stays in a write-once, content-addressed locker, with seal checks and hash-chained custody records. Five administrator-issued roles and case classifications from unclassified through secret are listed. Pricing is on request; onboarding includes installation, examiner training, and validation against customer casework.
Good
- Examines video, images, audio, documents, and text
- Combines eight forensic evidence families
- Supports air-gapped and private-cloud deployment
- Maintains write-once evidence storage
- Provides examiner-signed expert opinions
Watch out
- Pricing is available only on request
- Qualified examiner sign-off is required
- Small image sample is not a casework guarantee
- No named third-party integrations listed
Who it suits
Exiphore is intended for law-enforcement and security agencies, police units, forensic laboratories, prosecution, financial-crime, and intelligence teams. It suits organisations requiring customer-hosted examination and examiner-signed results.
Verdict
Exiphore combines multi-media analysis with controlled evidence handling and examiner adjudication for forensic workflows. Its deployment, training, and validation requirements, plus the stated validation limits, should shape procurement decisions.
The facts
Each one read from Exiphore's own pages, with the date it was checked.
What it does
- Access and support
- The site offers access by demo request and says deployment, examiner training and validation against the customer's casework are part of onboarding.checked 4 Oct 2026
- Access control
- The platform has administrator, supervisor, examiner, analyst and viewer roles; accounts are administrator-issued, and cases can be classified from unclassified through secret.checked 4 Oct 2026
- Access controls
- The platform lists five roles, administrator-issued accounts, configurable session lifetime and per-case classification from unclassified through secret.checked 4 Oct 2026
- Analysis
- It combines eight independent families of forensic evidence and reports measurements, limitations and calibrated confidence, including inconclusive results when evidence is ambiguous.checked 4 Oct 2026
- Casework
- Exhibits can be submitted individually, in batches, by URL or from a monitored path, and fingerprints can be linked across cases as investigative leads.checked 4 Oct 2026
- Deployment
- The platform is installed on customer infrastructure, supports air-gapped and private-cloud deployment, and requires no specialised accelerators on standard server hardware.checked 4 Oct 2026
- Evidence handling
- Exhibits are kept in a content-addressed, write-once locker, with seals re-verified before examination and hash-chained custody and audit records.checked 4 Oct 2026
- Evidence security
- Original evidence is kept in a content-addressed, write-once locker, its seal is re-verified before examination, and custody and audit records are hash-chained.checked 4 Oct 2026
- External model
- Optional narrative generation is the only component that can call an external model, does not alter verdicts or measurements, and can be disabled.checked 4 Oct 2026
- External model use
- Optional narrative generation is the only component that can call an external model, does not touch verdicts or measurements, and can be disabled.checked 4 Oct 2026
- Forensic signals
- Exiphore combines eight independent families of forensic evidence and pools related measurements to avoid counting them twice.checked 4 Oct 2026
- Human review
- A qualified, named examiner must review the measurements and sign before a result is released as an expert opinion.checked 4 Oct 2026
- Integrations
- The opened maker pages describe no named third-party integrations and state that there is no external API dependency in the examination path.checked 4 Oct 2026
- Intended users
- The maker identifies law-enforcement and security agencies, police units, forensic science laboratories, prosecution, financial crime and intelligence teams as intended users.checked 4 Oct 2026
- Media coverage
- The platform says it examines video, images, audio, documents and text.checked 4 Oct 2026
- Onboarding
- Onboarding includes installation, examiner training and validation against the customer’s own casework.checked 4 Oct 2026
- Product
- Exiphore is a forensic media authentication platform that examines video, images, audio, documents and text for signs of deepfake generation or manipulation.checked 4 Oct 2026
- Purpose
- Exiphore examines digital exhibits for signs of synthetic generation or manipulation and produces an explainable forensic record for examiner review.checked 4 Oct 2026
- Reports
- Each exhibit can receive a finding, evidence breakdown, confidence interval, quality ceiling, custody record, examiner adjudication and digest-sealed PDF report.checked 4 Oct 2026
- Supported users
- The maker identifies law-enforcement and security agencies, police units, forensic laboratories, intelligence teams, financial-crime investigators and prosecution or legal teams as intended users.checked 4 Oct 2026
- Validation limits
- The site reports end-to-end results on a balanced 60-image sample from one public corpus and cautions that this small still-image sample is not a casework performance guarantee.checked 4 Oct 2026
The company
- Company
- The about page names Sonu Kumar as founder and AI lead but does not state a founding year or headquarters.checked 4 Oct 2026
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