A deepfake is synthetic media — video, audio or images — in which AI replaces or fabricates a real person's face, body or voice, making them appear to say or do things they never did. The name combines "deep learning" (the AI technique) with "fake".
How does a deepfake actually work?
Modern generative models learn a person's appearance or voice from example material — photos, videos, interview clips — and then synthesise new content in that likeness. The barrier has collapsed: a convincing face-swap now takes minutes on consumer tools, and a usable voice clone needs only seconds of source audio. No studio, no VFX team, no budget.
Why is India a prime target?
Three reasons. India has an enormous celebrity economy where familiar faces move products instantly; it has hundreds of millions of first-generation internet users still calibrating what to trust; and enforcement is slower than distribution. The most common abuse pattern here is the fake celebrity endorsement — cricketers and film stars "recommending" betting apps and investment schemes they have never heard of.
How do you spot a deepfake?
Look for mismatched lighting between face and scene, unnatural blinking or teeth, audio that doesn't quite sync with lips, and — most reliably — context: is this person really announcing a trading app in a low-quality ad? Detection tools score content algorithmically, which matters because the best fakes now pass casual human inspection.
Is making a deepfake of someone illegal in India?
Using someone's likeness commercially without consent violates personality rights that Indian courts actively enforce; processing a person's face or voice without consent engages the DPDP Act, 2023; and platforms must act on impersonation complaints under the IT Rules, 2021. See our complete guide to personality rights in India for the legal detail.
What should you do if you find a deepfake of yourself?
Document it immediately (URL, screenshots, download), report it through the platform's impersonation channel, and escalate with an IT Rules notice if needed. If your likeness is registered with a timestamped record, every one of those steps is faster — that registry-first approach is exactly what Zimorta's Radar and Vault operationalise, and our India deepfake statistics page tracks how fast the problem is growing.
