Identity Verification and Fraud Prevention at Scale
How to make sure an online benefit, account, or service reaches real, eligible people — layered KYC that validates against an authoritative registry, proves a live human, and scores risk with AI.
- Software Development
- Identity
- Security
The situation
Any system that hands out something valuable — a subsidy, a free benefit, an account, a limited offer — becomes a target the moment it opens. Duplicate sign-ups, fabricated identities, and bots farming the same person many times over quietly drain the budget and push out the real, eligible people it was meant for. Checking by hand does not scale; at volume, a few minutes per applicant becomes impossible.
How we approach it
Trustworthy onboarding is built in layers, each one catching what the last cannot:
- Validate against an authoritative source. Match the identity against a system of record rather than trusting whatever was typed in — so a registration corresponds to a real, recognised person.
- Prove a live human. Liveness detection confirms there is an actual person present in the moment, not a photo, a screen, or a replay.
- Score the risk with AI. Models weigh signals across the whole population to flag duplicates and patterns a single check would miss — the fraud that only looks like fraud when you see it at scale.
How it works
Each layer catches what the previous one can’t — registry match, then liveness, then AI risk — so the genuine pass and the fraudulent are stopped.
No single check is enough on its own. A registry match can be fooled by stolen details; a liveness check alone doesn’t know the person is eligible; AI scoring needs ground truth to be useful. Stacked together — registry, liveness, AI — they let genuine applicants through in seconds while stopping the duplicates and fraud that would otherwise scale right alongside the legitimate traffic.
The proof
On Kartu Prakerja, every registration was validated against Dukcapil — Indonesia’s national civil registry — and reinforced with liveness detection and AI, so a free public benefit at a scale of 100 million users reached real, eligible citizens rather than fraudulent accounts.
If you need onboarding that stays trustworthy as it grows, that is exactly the kind of system our Software Development team builds. Let’s talk.