Bengaluru — Bengaluru city police have arrested a 25-year-old migrant worker from Bihar after tracing an AI-generated video that depicted a bomb blast inside Vidhana Soudha, the seat of Karnataka’s state government, officials said.
How the clip was detected and traced
The accused has been identified as Hazrat Ali Shoiab, a native of Araria district, Bihar, who has been working in Bengaluru as a daily-wage pipefitter for the past few months, police said. The short video surfaced on Tuesday morning on an Instagram account named jnx_king_h_g.
The footage begins with exterior shots of Vidhana Soudha and then shows AI-generated visual effects portraying a large explosion inside the historic building. The post carried a caption that reportedly read:
“Vidhanasabha Uda Diya Bam se.”
Police said the clip came to light during routine digital surveillance. The Vidhana Soudha police registered a First Information Report (FIR) and used Internet Protocol (IP) logs and other digital footprints to trace the account, which led them to Shoiab.
Custody and ongoing probe
Shoiab is currently in custody and being questioned, according to the police, who said investigators are trying to determine his motive and whether others were involved in creating or editing the AI-generated footage. No charges were specified beyond the registration of the FIR in initial reports.
- Accused: Hazrat Ali Shoiab, 25, from Araria, Bihar.
- Occupation: Daily-wage pipefitter in Bengaluru.
- Platform: Instagram account jnx_king_h_g.
- Action taken: FIR registered by Vidhana Soudha police; accused detained and questioned.
Broader concerns: AI, misinformation and public safety
The incident underscores growing concerns about the use of artificial intelligence to fabricate realistic-looking violence or terror-related imagery. While the clip surfaced on social media, it was discovered by routine monitoring by law-enforcement digital teams rather than through public complaint, police said.
Authorities are examining digital forensic traces to establish the chain of creation and dissemination. The probe will also look into whether the accused used off-the-shelf AI tools, third-party editors or collaborators to generate the visual effects and post the content.
Timeline
| Event | Date / Time (reported) | Details |
|---|---|---|
| Video posted | Tuesday morning | AI-generated video showing explosion at Vidhana Soudha posted on Instagram account jnx_king_h_g |
| Detection | Tuesday (routine surveillance) | Video flagged during police digital monitoring |
| FIR registered | Following detection | Vidhana Soudha police registered a First Information Report |
| Accused traced and arrested | Subsequent investigation | Account traced via IP logs and digital footprints to Hazrat Ali Shoiab |
Local angle and implications for migrant workers
The accused is a migrant labourer from Bihar. Police said Shoiab had been in Bengaluru for a limited period working as a pipefitter. The case brings into focus how accessible AI tools have become and the potential for misuse by individuals without technical or legal awareness.
Investigators will need to establish whether the post was intended as a prank, to mislead, or to create panic — and whether the accused understood the legal consequences. The matter also raises questions about digital literacy and the spread of deepfake content among low-income migrant communities, who may be active social-media users but lack awareness of digital legislation.
Next steps
Police said they are continuing their inquiry to determine motive and identify any collaborators. The outcome of questioning and forensic analysis will shape any formal charges and potential prosecution.
Authorities did not disclose further details about the FIR or the sections of law invoked. No statement on any damage to property or injury was reported, and the video appears to be entirely synthetic rather than showing real violence.
The case is likely to add to debates on regulating AI-generated content in social media and the need for stronger detection mechanisms within platform policies and law enforcement workflows.
