Cyberette Launched Deepfake Detection Platform
The service flags manipulated media for investigators with a reported 98 percent accuracy rate.
Updated on Oct. 1, 2026 in Cybersecurity
Live Poll
Do you trust your ability to distinguish between real media and AI-generated deepfakes?
Cyberette has launched a platform designed to detect deepfakes by identifying manipulated regions in images and video. The service, which currently serves customers in seven countries, provides analysis results in under two seconds.
Why it matters
The platform enables investigation teams to pinpoint exactly where and how media was altered. This development addresses the growing need for forensic tools to verify the authenticity of digital content.
The system processes media in under two seconds, returning results that identify manipulated timecodes and image regions. Accuracy is reported at 98 percent, a figure established through internal performance testing.
The players
Cyberette
An Amsterdam-based cybersecurity startup focused on digital forensics and media authenticity.
Julia Jakimenko
The co-founder and CEO of Cyberette.
Crosshub
A South Korean technology firm that has entered a partnership with Cyberette.
The details
The platform functions by analyzing facial geometry, motion, and file metadata alongside C2PA content credentials—the Coalition for Content Provenance and Authenticity’s technical standard for certifying the origin and history of media. It can be deployed on local infrastructure or through a cloud-based API, allowing systems to integrate detection into existing workflows. The platform is designed to provide forensic teams with a detailed breakdown of how and where specific media files have been tampered with.
Timeline
2024: Cyberette was co-founded by CEO Julia Jakimenko.
September 30, 2026: The company launched its deepfake detection platform.
The Tech Race
The platform integrates C2PA content credentials to standardize how media authenticity is verified. It competes in an expanding market projected to reach $4.95 billion by 2027 as forensic firms move to counter sophisticated synthetic media.
Enterprise and investigation teams can currently integrate this platform into their existing systems via API. The technology is primarily targeted at professional forensic workflows rather than individual consumer use.
The takeaway
The firm is currently scaling its commercial footprint after converting 85 percent of its pilot programs into paid contracts. Investors should monitor future expansions into behavioral and sentiment analysis as the next indicator of the platform’s technical maturity.
Further reading
For more on the current state of digital forensics, explore our coverage of Cybersecurity.
Source note: This article includes information reported by Biometric Update.
Live Poll
Do you trust your ability to distinguish between real media and AI-generated deepfakes?
