PersonaWatch was born from real-world casework — where the difference between authentic and synthetic media can determine the outcome of an investigation, a court ruling, or a corporate decision.
PersonaWatch was founded by two former FBI Special Agents, including FBI Cyber Division veterans, with decades of experience in counterintelligence, cyber investigations, digital forensics, and complex investigations.
Having worked cases where manipulated evidence threatened to derail proceedings, our founder recognized a critical gap: investigators, attorneys, and corporate security teams lacked a reliable forensic tool to detect AI-generated and manipulated media.
PersonaWatch was built to fill that gap — a platform designed from the ground up with forensic rigor, transparency, and professional workflows in mind.
In an era where anyone with a laptop can generate convincing fake images, videos, and narratives, the ability to verify authenticity is no longer optional — it's essential.
PersonaWatch answers two critical questions that no other platform addresses together:
"Is it fake?" — Synthetic media detection for deepfakes, AI-generated images, and manipulated video.
"Is it false?" — Headline and narrative verification to identify misleading claims attached to authentic or synthetic media.
At the heart of PersonaWatch is S.A.R.A. — Synthetic Analysis Reporting and Attribution, PersonaWatch's analysis system. S.A.R.A. coordinates a multi-model detection pipeline that goes far beyond simple binary classification.
S.A.R.A. orchestrates multiple detection models, including CLIP-based source attribution, facial manipulation analysis, AI generation detection, metadata forensics, and C2PA Content Credentials verification. Every analysis produces a comprehensive forensic report with full provenance tracking — including case IDs, execution IDs, SHA-256 hashes, and detailed methodology explanations.
The result is detection you can explain and defend. Not a black-box probability score — a documented chain of evidence with full methodology transparency.
Every detection is documented with full chain-of-custody tracking, SHA-256 hashing, and methodology explanations built for professional forensic workflows.
No black boxes. Our reports show exactly what was detected, how it was detected, and why it matters — so you can defend your findings.
Designed for investigators, attorneys, corporate security, and insurance professionals who need answers they can stand behind.
We understand that computational photography creates artifacts. Our EXIF-aware scoring reduces false positives from modern smartphone cameras.
Uploaded media is processed in memory and not retained after analysis. We don't store, share, or train on your files. Saved reports contain results and hashes — not original media.
Generate detailed forensic reports with provenance tracking and documented methodology for professional investigations.
Start analyzing media with forensic-grade AI detection.
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