Detecting fraud in real time with AI
Fixed rules arrive too late and miss the unknown. Here's how AI spots fraud in real time — and cuts false positives too.
Fraud doesn't warn you — AI does
Diverted payments, fake documents, compromised accounts, false claims: fraud is expensive and fast. The problem with classic controls — fixed rules, after-the-fact manual checks — is that they arrive too late, or miss anything that doesn't match a known rule. AI spots the abnormal as it happens.
What AI catches that rules miss
A rule says: "block any transaction over €5,000 from abroad." AI instead learns what normal looks like for each customer and flags the deviation. A €200 purchase at 3 a.m. from an unknown device can be far more suspicious than a €10,000 transfer. It spots patterns too complex to write by hand:
- Transactions: unusual payments, card testing, layering.
- Documents: fake proofs, doctored invoices, edited IDs.
- Accounts: takeovers, mass creation, multi-accounting.
- Claims: inconsistencies in insurance claims, expense reports, applications.
Real time = before the money leaves
The difference from an after-the-fact check is huge: AI scores each operation in milliseconds and alerts or blocks approval. You stop fraud instead of noticing it next month. (See our use case .)