Financial Crime Prevention

Four capabilities.
One intelligence layer.

Payment fraud, insider risk, money laundering and sanctions evasion don’t wait for each other, and your defences shouldn’t sit in separate silos either. Vyntra brings four solutions together in one intelligence layer, so every payment is scored, explained and actioned in real time — without impacting your genuine customers.
Book a demo
Explore our solutions →
Financial Crime Prevention
Four capabilities, one intelligence layer
Live
Coverage · today
Payment Fraud Prevention
Scams & account takeover, scored in real time
Monitoring
Internal Fraud Prevention
Insider risk & collusion, continuously watched
Monitoring
AML Transaction Monitoring
Risk-based scoring, explainable to your regulator
Monitoring
Sanctions Screening
Fuzzy & phonetic matching, sub-second decisions
Monitoring
One case manager, every alert
130+ institutions

Financial institutions protected worldwide

0 +

Countries with Vyntra in production

0 +

Why one intelligence layer

Fraud, laundering and insider risk
rarely stay in their lane.

A mule account funding a scam can also be the subject of a sanctions hit. An account takeover can look, at first, like ordinary customer behaviour. When fraud, AML and sanctions teams work from separate systems, each only sees its own slice of the picture — and the connections between them go unnoticed. Vyntra scores every payment against all four capabilities at once, so risk is caught wherever it shows up.

What "one intelligence layer" actually means

Four key capabilities.
One shared backbone.

Whichever solution a team opens, they’re working from the same engine, the same explainability, the same case file — and the same outside signal. That last part is what makes the layer intelligent rather than just shared.

Batch & real-time, on the same engine

Every capability scores transactions in batch or real time, on the same rules-and-machine-learning engine — so instant rails get the same coverage as end-of-day processing.

Explainable AI, everywhere

Every score comes with its drivers attached, whether it’s a fraud alert, an insider-risk flag, an AML hit or a sanctions match — so investigators and regulators see the reasoning, not a black box.

One case manager for every alert

Fraud, AML, insider and sanctions alerts land in the same case manager with a shared audit trail, so nothing needs re-keying between systems to build a full picture.

The part no single bank can build alone

Community Scoring & Intelligence

Fraudsters operate across dozens of banks at once. Community Scoring & Intelligence (CS&I) brings network and community risk signals into real-time scoring, catching what institution-level detection alone cannot see.

See how CS&I works →

Use Cases

See it against
the problem you have today.

The same four solutions, applied to the situations fraud and compliance teams actually face.

Fraud · Use case

APP & Scam Detection

The customer approved it. That doesn’t make it legitimate. When identity and device checks pass clean, the footprint in the payment itself — a fresh beneficiary, an unusual amount — is what gives a scam away.

Read the use case →

Fraud · Use case

Real-Time Payments Fraud Prevention

Instant schemes operate on seconds-level windows — miss the threshold and the payment is auto-rejected. Detect delays before they cross the SLA, not after.

Read the use case →

Fraud · Use case

Account Takeover

Valid credentials, invalid owner. Whether the session looks foreign or the device looks entirely genuine, behavioural profiling catches what credential checks can’t.

Read the use case →

Fraud · Use case

Insider Threat

The riskiest access in the bank often belongs to the bank’s own staff. Continuous behavioural monitoring flags collusion and misuse that trust-based controls miss.

Read the use case →

Compliance · Use case

AML Alert Overload

Most AML alerts are noise. Risk-based scoring and explainable AI cut false positives without missing what matters, even at instant payment speed.

Read the use case →

Compliance · Use case

Sanctions Screening

Sanctions lists tell you who is designated, not who is evading. Fuzzy and phonetic matching catches aliases and transliterations exact-match engines miss entirely.

Read the use case →

GET IN TOUCH

See all four capabilities,
on your own data.

Payment fraud, insider risk, AML and sanctions screening — scored by one engine, explained the same way, and investigated from one case manager.
Book a demo
Talk to an expert