Intelligence · forecasts
Getting ahead, without pretending to be certain
A forecast is useful when its uncertainty is on the same screen as its central estimate. Every band below is published with the model, not after it.
Volume forecast
14 days forward · 7 days backexpectedactual80% band
Early warnings
threshold breachesForecast shape
next 14 days15410-31
16711-01
16611-02
16411-03
17711-04
17211-05
15711-06
16411-07
14811-08
14911-09
14011-10
13111-11
12311-12
Mean expected / day155
Peak day2026-11-04 · 177
When cybercrime actually arrives
weekday × hour, all intakePeak band 20:00–00:00
0003060912151821SunMonTueWedThuFriSat
Demand is not uniform. Staffing the duty desk to this shape costs less than staffing it flat and answers more calls inside the golden hour.
Channel mix
where reports come from101App
100H1991
98Web
92Walk-in
90Partner referral
The app is deliberately the widest lane: it removes the walk-in journey that suppresses reporting outside the eight largest cities.
Loss cohorts
reported valueUnder Rs 50k 193Rs 1M and above 100Rs 200k–1M 99Rs 50k–200k 71No loss reported 18
Reports with no loss stated4%
Language of report
Urdu vs EnglishEnglish60%
Urdu (اردو)40%
The interface is bilingual by design, not by translation: Urdu carries its own type scale and line height so Nastaliq descenders never collide with the row above.
District outlook
ranked by volume| District | Province | Reports | High / critical | Value reported | Trend · 9d |
|---|---|---|---|---|---|
| Lahore | Punjab | 74 | 24 | 37,807,065 | |
| Karachi | Sindh | 70 | 23 | 34,812,810 | |
| Islamabad | Islamabad Capital Territory | 43 | 19 | 21,813,495 | |
| Rawalpindi | Punjab | 28 | 8 | 13,539,410 | |
| Faisalabad | Punjab | 28 | 9 | 12,726,575 | |
| Multan | Punjab | 28 | 11 | 10,146,891 | |
| Peshawar | Khyber Pakhtunkhwa | 25 | 11 | 9,689,097 | |
| Hyderabad | Sindh | 18 | 7 | 10,589,726 | |
| Bahawalpur | Punjab | 16 | 6 | 4,620,344 | |
| Gujranwala | Punjab | 14 | 5 | 8,639,786 |
Guardrails on prediction
what this page refuses to doNo individual risk scores. The model forecasts volume and typology, never a person. There is no score attached to any human being anywhere in this platform.
Bands, always. A central estimate without its band is a misleading number. Every forecast here carries one, and the band widens with horizon.
Advisory, not enforcement. A warning can change a public advisory. It cannot suspend an account, block a SIM, or trigger enforcement on speech. Those need a human, a warrant and a recorded basis.