Report an incident

PREVENTION-FIRST CYBER INTELLIGENCE

Every complaint should make the next one safer.

Niriksh turns cybercrime reports into structured intelligence, learns recurring patterns across incidents, and helps surface threats earlier—under human review.

Prevention-firstLearns across incidentsHuman-reviewedSource-backed
Report an incident Check a suspicious message

People verify patterns and decide every operational action.

Bhumika's guided demoFile a complaint
on WhatsAppSay it your way. We'll help shape the details.
Structured report
Source-backed caseTimeline and indicators
Screenshot 04Payment request
Voice noteIncident details
Learn
EMERGING PATTERNRequires review
5 related incidentsRecurring payment identifier and domain.
Same UPI ID in 5 reportsSource-backed indicators
Recurring domainwealth-demo.example5 cases
Immediate danger or urgent financial fraud?Call 112 for emergency help or 1930 for the national cybercrime helpline.
Call 112Call 1930

Bhumika-derived WhatsApp reporting demo

Report in the conversation you already understand.

Adapted from Bhumika’s guided intake experience, this Niriksh demo helps someone explain what happened without guessing which form field comes next. It checks required information as the conversation develops, asks focused follow-ups, and keeps the person in control before anything is filed.Open the Bhumika-derived demo The browser demo runs inside Niriksh. Bhumika separately owns the live Meta/WhatsApp channel.
Bhumika-derived reporting assistantGuided intake · ready when you are
Tell me what happened in your own words. I’ll help organise the details.
A message promised guaranteed returns and asked me to pay a fee.
Let’s check what is still neededWhat happenedContact channelPayment identifier or linkEvidence, if safe to share
Voice notePhotoSend when ready

ONE PREVENTION LOOP

Understand → Learn → Prevent

Individual reports are often treated in isolation. Niriksh retains the case intelligence that makes recurring harm visible.
1

Understand

Turn each incident into a structured, source-backed case.

  • Narrative and structured details
  • Timeline, provenance and indicators
  • Useful questions for information still missing
2

Learn

Compare structured cases so repeated signals become visible.

  • Exact shared indicators
  • Explainable related incidents
  • Emerging patterns requiring review
3

Prevent

Use human-verified intelligence to inform future review.

  • Known-pattern warnings on new incidents
  • Internal watchlists and advisory drafts
  • Potential connection—not offender attribution

Understand

Every useful observation should have somewhere to point.

Original evidence, extracted facts and analysis-assisted observations are displayed as different layers. When chronology is uncertain, Niriksh says so instead of inventing an exact order.
Finding₹15,000 requested
SourceScreenshot 04
Original evidenceSubmitted image

Prevention intelligence

Patterns make the reason visible. Conclusions remain human.

Niriksh compares normalized phone numbers, emails, UPI IDs, transaction references, URLs, domains and scoped social handles. Exact shared identifiers create candidates; behavioural context can explain them, never prove them. This intelligence is reviewed inside the officer workspace.
5 related reportsdemo-invest@upiRecurring domainwealth-demo.example

Potential connection only. A human must verify a pattern before it can support a warning or awareness draft.

Awareness, when the intelligence is ready

A place for simple, human-reviewed scam explainers.

This space creates video, image, and text awareness content from verified patterns—not from unreviewed AI guesses.
One pattern, one clear lessonVideo, image, or text formatHuman approval before publishing
Awareness content studioReviewed guidance in the right format
Available after verification

Trust boundary

Assistance without automated judgement

Analysis can assist with
  • Extracting information from submitted material
  • Organising evidence and supported chronology
  • Identifying missing information
  • Surfacing factual active signals
Analysis does not decide
  • Guilt or evidence authenticity
  • Which victim deserves priority
  • Whether an FIR should be filed
  • Final legal classification or enforcement action

Cybercrime systems shouldn’t forget.

Your report can help officers recognise repeated harm.

Report an incident