India’s growing wave of AI-generated celebrity scams is creating a new market for technology that can detect and document unauthorized use of faces, voices and digital likenesses. ContentLens, an Indian content-protection platform, is using biometric signatures and automated social-media monitoring to help celebrities identify deepfakes, fake endorsements and other potential personality-rights violations.
The rapid spread of generative AI is creating a new challenge for celebrities: protecting an identity that can now be replicated across video, audio and advertising at scale. Indian startup ContentLens is targeting that problem with a platform designed to monitor social media for unauthorized uses of a celebrity’s face, voice and visual identity.
The company says its platform creates a biometric signature for each protected celebrity and continuously monitors social-media platforms for potential violations. When a possible misuse is detected, ContentLens provides an alert along with evidence and information intended to help the celebrity or their representatives pursue a platform takedown or legal action.
The need for such systems is becoming more visible in India. McAfee’s 2025 research found that 90% of Indians surveyed had encountered fake or AI-generated celebrity endorsements, while people who lost money to such scams reported an average loss of ₹34,500. The same research found that 60% had encountered AI-generated or deepfake content involving influencers or online personalities.
The technology challenge is partly one of scale. ContentLens estimates that India has about 15 million active content creators and argues that even five or six videos per creator each month could produce 75 million to 90 million pieces of content. Those figures are company estimates rather than independently verified market statistics, but they illustrate the monitoring problem facing celebrity management teams.
Traditional approaches to rights enforcement generally depend on discovering infringing material after it has appeared online. AI-generated content changes the economics of that process because the same identity can potentially be reproduced repeatedly, across multiple platforms and in different formats.
Recent Indian court cases demonstrate how personality-rights disputes are increasingly intersecting with AI. In July 2026, the Delhi High Court granted interim protection to actor Ravi Kishan against unauthorized exploitation of his name, image, likeness and voice, including AI-generated and deepfake content. The order also included directions concerning removal of identified online material.
The Bombay High Court similarly directed Meta, Google and other platforms to remove specified AI-generated deepfake material involving actor Preity Zinta in July 2026. Earlier cases involving public figures including Varun Dhawan and Naga Chaitanya have also addressed unauthorized use of names, voices, images and likenesses through AI and deepfakes.
India does not currently have a dedicated personality-rights statute. Instead, courts have developed protections through a combination of existing intellectual-property, privacy and constitutional principles, resulting in a growing body of case law around unauthorized commercial use and digital impersonation.
That legal environment creates an important role for detection technology. Finding a deepfake is only the first step; evidence showing where the material appeared, what identity attributes were used and how the content was presented can become important when a rights holder seeks removal or legal remedies.
ContentLens says its platform is designed around that evidence layer. According to the company, its monitoring can identify fake endorsements, cloned voices and other uses that celebrity teams may not otherwise discover.
The company says it is already working with the Indian music industry to monitor unauthorized use of music intellectual property and is extending that approach to personality and identity protection. Founder and CEO Rohan Sahu describes a celebrity’s face, voice and visual identity as a form of valuable intellectual property that can be exploited by generative AI systems without authorization.
The commercial risk extends beyond fabricated entertainment content. Fake celebrity endorsements can be used to promote financial schemes, consumer products, giveaways and other scams. McAfee found that fraudulent celebrity content in India was being used for areas including skincare products, giveaways and cryptocurrency or trading schemes.
That makes deepfake detection relevant to both digital rights management and online fraud prevention. A platform capable of continuously identifying suspicious uses could give talent agencies, legal teams and brands a way to move from reactive monitoring toward continuous identity surveillance.
For celebrities, another challenge is distinguishing legitimate licensed use from unauthorized material. A monitoring system therefore needs to identify potential violations without treating every appearance of a face or voice as infringement. Human review, contractual context and legal assessment can remain important before a takedown request or lawsuit is initiated.
ContentLens is positioning automated detection as the first layer of that process. Its longer-term opportunity is tied to the increasing volume of synthetic media and the growing use of AI-generated identities across social platforms.
As Indian courts continue to address personality rights on a case-by-case basis, technology that can detect, document and organize evidence of unauthorized digital likeness use is becoming an increasingly important part of the enforcement workflow. For ContentLens, the goal is to make that monitoring continuous rather than dependent on celebrities discovering misuse themselves.
Market Landscape
AI-generated celebrity impersonation sits at the intersection of generative AI, digital rights management, cybersecurity and online fraud prevention. McAfee’s 2025 India research found widespread exposure to fake celebrity endorsements, while Indian courts have increasingly issued interim protections covering names, images, voices and AI-generated likenesses.
The legal framework remains fragmented. India has no dedicated personality-rights statute, with courts developing protections through existing legal principles. That increases the importance of evidence, identification and rapid takedown workflows when unauthorized synthetic media appears online.
Top Insights
- ContentLens uses biometric signatures covering facial, vocal and visual attributes to monitor potential unauthorized use of celebrity identities.
- McAfee found 90% of surveyed Indians had encountered fake or AI-generated celebrity endorsements in its 2025 research.
- Recent Indian court orders have increasingly addressed AI-generated deepfakes and unauthorized exploitation of celebrity personality attributes.
- ContentLens says automated surveillance can identify potential violations and package evidence for takedown requests or legal proceedings.
- India’s absence of a dedicated personality-rights statute leaves courts developing protections through case-by-case decisions.
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