Czech startup Synhawk develops deepfake detection, partners with Vodafone
The startup Synhawk, founded by entrepreneur Lukáš Foral and Stanford researcher Matyáš Boháček, is developing technology for real-time detection of deepfakes and synthetic content. It is working with the operator Vodafone and is in talks with other telecom companies.
The Czech startup Synhawk, founded by entrepreneur Lukáš Foral and researcher Matyáš Boháček, who works at Stanford University, is developing technology for detecting deepfakes and other synthetic or manipulated content – from audio and video to photographs, texts, and documents. According to the company, these are proprietary foundation models that analyze patterns in the signal imperceptible to the human eye or ear, while also working with communication context, metadata, and cryptographic verification where available.
The company wants to bring this protection into telecom networks, banks, video conferencing, and corporate systems. For phone calls, the detection model is said by the company to analyze parts of the signal in real time and flag a synthetic voice origin within a few seconds – a typical scenario being a fraudulent call where the caller mimics the voice of a close person and asks for money.
Synhawk is already working with the operator Vodafone and, according to Foral, is in talks with other telecom operators in EU countries, the US, Canada, and the United Arab Emirates. Besides a mobile app for verifying suspicious content, the company is also developing protection for online meetings and technology for detecting deepfake calls within operators' infrastructure.
According to the company, it does not state a single detection accuracy figure, because, according to Foral, it depends on the measurement conditions and the combination of signals. The rest of the article with further details about Boháček's research was not available – for details, see the source article.
Why it matters
According to the source's description, deepfake scams using a cloned voice or face are spreading faster because today's AI needs only a few seconds of voice or a single photograph to create a convincing imitation. Technologies like Synhawk are meant to provide a tool for verifying whether a call, video, or document is authentic, directly within the infrastructure of operators, banks, or companies, i.e., without requiring active verification by the user for every call.
Two audiences, two different impacts
What this means
For individuals
People should be aware that a phone call featuring the voice of a close person asking for money could be a deepfake created from just a few seconds of recording, and should independently verify such requests.
For a business
Telecom operators, banks, and companies can integrate synthetic content detection into their communication channels and approval processes to reduce the risk of vishing-type fraud and fake payment documents created using AI.
Risks and complianceCheck the original
Event sources
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