iWorld
BIG FM brings Ramayana to life with AI twist
MUMBAI: What happens when age-old wisdom meets artificial intelligence? You get a Ramayana retelling fit for the reel world. BIG FM, one of India’s leading radio networks, has launched ‘BIG Ramayana’, an AI-powered audio-video series that brings the timeless legend of Lord Ram to today’s screens and streams. Narrated by acclaimed actor Saurabh Raaj Jain, the series transforms the classic epic into bite-sized, visually rich reels, a perfect blend of mythology and modernity.
The first episode premiered on 20 October 2025, alongside the launch of the BIG Ramayana Anthem, a soulful ode to dharma, devotion, and destiny. Designed for digital-first audiences, the project combines AI-enhanced reels, audio dramas, podcasts, celebrity capsules, RJ specials, and trivia segments, giving the Ramayana a dynamic, cross-platform presence.
“At BIG FM, storytelling is in our DNA,” said BIG FM CEO Sunil Kumaran. “BIG Ramayana represents our belief that when tradition meets innovation, it creates something powerful and lasting. It’s about connecting today’s youth to stories that have defined generations.”
Echoing the sentiment, chief marketing & product officer Atul Razdan added, “We wanted to make mythology matter again for Gen Z. With AI and creative storytelling, BIG Ramayana lets audiences rediscover these timeless tales in formats they truly relate to.”
Listeners can catch AI-enhanced episodes on BIG FM’s social media platforms and tune in to radio broadcasts Monday to Friday at 8 am and 9 pm. The show also streams on Spotify, JioSaavn, Apple Podcasts, Amazon Prime Music, and Gaana, proving that even an ancient epic can find its rhythm in a new digital dhun.
iWorld
Meta warns 200 users after fake Whatsapp spyware attack
Italy-targeted campaign used unofficial app to deploy surveillance spyware.
MUMBAI: It looked like a message, but it behaved like a mole. Meta has warned around 200 users most of them in Italy after uncovering a targeted spyware campaign that weaponised a fake version of WhatsApp to infiltrate devices. The attack, first reported by Agenzia Nazionale Stampa Associata, relied on classic social engineering with a modern twist: persuading users to download an unofficial WhatsApp clone embedded with surveillance software. The malicious application, believed to be developed by Italian firm SIO through its subsidiary ASIGINT, was designed to mimic the real app closely enough to bypass suspicion.
Meta’s security teams identified roughly 200 individuals who may have installed the compromised version, triggering immediate countermeasures. Affected users were logged out of their accounts and issued alerts warning of potential privacy breaches, with the company describing the incident as a “targeted social engineering attempt” aimed at gaining device-level access.
The malicious app was not distributed via official app stores but circulated through third-party channels, where it was presented as a legitimate WhatsApp alternative. Once installed, it reportedly allowed external operators to access sensitive data stored on the device turning a simple download into a potential surveillance gateway.
According to Techcrunch, Meta is now preparing legal action against the spyware developers to curb further misuse. The company, however, has not disclosed details about the specific individuals targeted or the extent of data compromised.
A Whatsapp spokesperson reiterated that user safety remains the top priority, particularly for those misled into installing the fake iOS application. Meanwhile, reports from La Repubblica suggest the spyware may be linked to “Spyrtacus”, a strain previously associated with Android-based attacks that could intercept calls, activate microphones and even access cameras.
The episode underscores a growing reality in the digital age, the threat is no longer just what you download, but where you download it from. As unofficial apps become increasingly convincing, the line between communication tool and covert surveillance is getting harder to spot and far easier to exploit.
