This Startup Wants To Make Deepfake Detection As Easy As An API Call

SUMMARY

Neural Defend works on developing AI-powered detection tools that could identify deepfake manipulations across images, videos, and audio

Its proprietary algorithm avoids open-source dependence and has secured four patents. The solution is an API, and not a standalone application

The startup aims to reach $10 Mn in ARR within a year and plans to expand globally by tailoring its deepfake detection solutions for specific industries and ensuring seamless adoption

Who could be a better guarantee for your money in India than Infosys cofounder Narayana Murthy or Reliance chairman Mukesh Ambani? Two individuals bit the bait of fake images that eventually led to an INR 95 Lakh fraud. While someday a Mumbai-based doctor is duped INR 7 Lakh in a share market scam, a Bengaluru chartered accountant is conned into an INR 23 Lakh trickery on some other day. Such stories hardly surprise us any more as newspapers and tubes keep flashing such incidents almost every day. “The name Neural Defend reflects our goal. Neural represents AI and neural networks, while Defend underscores our commitment to fighting against the misuse of AI,” he added.Over the next 12 months, Neural Defend aims to secure at least 10 customers. “Given the scale of verification needs, where a single company can conduct 150 Mn API verifications a day, even acquiring two clients could make the company profitable,” Selvarajan said.

What makes a consumer trust a product? A credible face, beyond doubt. Thanks to artificial intelligence, bringing faces into the picture has never been easier. Scammers have leveraged deepfake technology to feature business icons like Murthy and Ambani in fake trading apps, driving people into the trap.