
The strongest fraud defence from application to final payment
Synthetic IDs, social engineering and first-party abuse are testing the limits of traditional fraud systems. Synectics gives lenders and leasers the intelligence and automation to prevent more fraud, protect vehicle and portfolio value and keep genuine customers moving.
The proven advantage against vehicle-based fraud
Fraud in vehicle lending moves quickly - from synthetic IDs to no-intent-to-pay abuse. Traditional checks miss too much, too late.
Synectics gives fraud and risk leaders earlier visibility of emerging threats, drawing on the UK’s largest fraud intelligence consortium, explainable AI and real-time orchestration.
That means lenders and leasers can detect fraud and affordability risks at the point of application, not after losses mount.
- Prevent organised fraud and opportunistic abuse at the gate.
- Accelerate approvals for genuine customers.
- Align every decision to your risk appetite while protecting asset value and customer relationships.

What you achieve with our vehicle finance & rental fraud solutions
Prevent fraud from entering your book
Block false applications, synthetic identities and payment abuse using shared intelligence and live risk signals.
Protect trust from approval to repayment
Assess true affordability and longer-term risk with behavioural insight and cross-sector credit intelligence.
Make fraud checks faster and sharper
Automate ID verification, document screening and affordability checks - reducing manual effort while meeting compliance obligations.
Approve genuine customers without delay
Enable faster onboarding by detecting high-risk intent and fraud signals upfront, without blocking genuine customers.
Connect collections to customer value
Use behavioural intelligence to prioritise and personalise collections, improving recovery outcomes and strengthening long-term relationships.
Got a challenge or a question?
Get in touch to see how we can work together to prevent fraud and reinforce your defences against emerging threats.
We’d love to hear from you.