Cyberette Launched New Deepfake Detection Platform
The cybersecurity firm released a tool that identifies manipulated digital media in under two seconds.
Updated on Oct. 1, 2026 in Cybersecurity
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Cyberette has introduced a new deepfake detection platform capable of flagging manipulated regions within images and videos. The system utilizes cloud or local infrastructure to provide forensic evidence for investigation teams.
Why it matters
As synthetic media becomes more prevalent, the platform aims to equip investigators with precise tools to identify how and where digital content has been tampered with. This technology supports the verification of authenticity for organizations facing rising risks of digital misinformation.
The system processes media by analyzing facial geometry, motion, and file metadata alongside C2PA credentials. It returns detection results for image, audio, and video files in less than two seconds.
The players
Julia Jakimenko
She is the co-founder and CEO of Cyberette.
Cyberette
Based in Amsterdam, this cybersecurity firm focuses on developing software to combat synthetic media threats.
Crosshub
This South Korean company is a strategic partner of Cyberette.
The details
The platform integrates into existing enterprise systems via an API to support both cloud and on-premises deployment. It provides granular timecodes and visual highlighting of manipulated areas to assist in forensic analysis.
Timeline
Cyberette was founded in 2024.
The deepfake detection platform launched on September 30, 2026.
The Tech Race
The integration of the C2PA content credentials standard demonstrates a shift toward verifiable digital provenance as a primary method for detecting synthetic media. This platform positions Cyberette to compete in an emerging market projected to reach nearly $5 billion in revenue by 2027.
For organizations, the platform offers a streamlined workflow to verify media authenticity through existing API-connected systems. Users can expect faster security audits of incoming content, though implementation depends on their specific cloud or local network integration.
The takeaway
The rise of specialized detection tools indicates that businesses must increasingly treat synthetic media as a standard forensic challenge rather than an anomaly. Organizations should prepare for the adoption of provenance-based authentication as a baseline requirement for digital media.
Further reading
Learn more about the evolving landscape of Cybersecurity.
Source note: This article includes information reported by Biometric Update.
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Do you trust your ability to distinguish between real media and AI-generated deepfakes?
