Viveka
विवेकdiscernment of true & false — Disinformation & Deepfake Radar
What if you could prove a riot-inciting video was a coordinated fake — before the first stone was thrown?
A single doctored clip can put a city on fire in hours, and by the time it's debunked the damage is done.
The situation
A state police information cell during rising tension
On an edgy evening, a video claiming an atrocity starts racing across local groups. Viveka sees that hundreds of accounts pushed the identical clip in the same few minutes — the fingerprint of an orchestrated campaign, not real outrage — and flags it with the evidence, so police can pre-empt the violence instead of mopping up after it.
How it plays out
Step by step
- 01
A clip starts spreading
A provocative claim or video surges across local networks during tension.
- 02
The pattern gives it away
Hundreds of accounts posting in lock-step, plus signs of synthetic media, mark it as orchestrated.
- 03
It's flagged with proof
The cell gets the campaign, the accounts and the evidence — fast enough to act on.
- 04
Violence is pre-empted
Police counter the falsehood and move before a fake becomes a funeral.
The system itself
Under the bonnet
Surfaces manufactured narratives as they form — coordinated bot networks, deepfakes and synthetic media — and presents the campaign with the evidence behind the verdict, so the response can be measured, not reflexive.
What it means for you
The bottom line
- ▸Spots orchestrated incitement early
- ▸Flags deepfakes & coordinated campaigns
- ▸Evidence-backed, ready for action
- ▸Buys the hours that prevent a riot
A different use case?
This is one capability; the engine under it is general. If your problem looks different — in any industry, not only defence — we build the tool for it: the same on-device, training-free, auditable RSN approach, scoped to your domain and proven in a bounded pilot. Tell us what you need →