Delhi Police Warns Over Viral 1980s AI Selfie Security Threat

News Desk
NEW DELHI: Delhi Police has issued a formal security advisory warning social media users that the viral artificial intelligence trend transforming modern selfies into 1980s-era portraits poses significant cybersecurity risks.
The phenomenon, which has gained massive traction across Instagram and the microblogging platform X, requires users to upload personal biometric data and high-resolution facial images to third-party applications.
Authorities emphasize that while the retro aesthetic appears harmless and entertaining, the underlying mechanisms often bypass stringent data protection protocols. Cybersecurity experts point out that uploading raw biometric inputs to unverified platforms leaves citizens vulnerable to identity theft, unauthorized data harvesting, and malicious deepfake generation.
The widespread popularity of these filters has alarmed law enforcement agencies regarding how easily personal information can be compromised for commercial or illicit exploitation.
This emerging digital hazard highlights the broader vulnerabilities of everyday internet users who readily surrender sensitive personal data for transient online trends. Regulatory bodies and digital rights advocates have repeatedly called for stricter oversight of generative AI applications operating across South Asia, noting that lack of awareness remains the primary driver of such privacy breaches.
Citizens are increasingly urged to exercise caution and thoroughly evaluate the privacy policies of third-party software before engaging with viral social media challenges.
In response to the growing threat, law enforcement cyber cells are intensifying monitoring efforts and preparing comprehensive awareness campaigns to educate the public on digital hygiene. Investigators are also reviewing the operational transparency of popular filter applications to determine potential violations of regional data protection laws, with further advisories expected as the investigation progresses.