Real-time behavioral risk scoring

Every check
passed.
The behavior
didn't.

Vara learns each customer's behavioral baseline from typing, hesitation and navigation, and flags the session that breaks it while it is still happening.

Typing rhythm
Mouse movement
Navigation
Hesitation
Behavioral anomaly detected

Built for the institutions that enterprise vendors overlook

Community banksCredit unionsRegional banksBSA / AML teamsFraud operationsRisk & complianceDigital bankingCommunity banksCredit unionsRegional banksBSA / AML teamsFraud operationsRisk & complianceDigital banking

By the numbers

The cost of the blind spot.

False positives

0%

of fraud alerts at financial institutions are false positives.

Gartner, 2025

0%

would leave a bank that failed to refund a scam loss.

McKinsey 2025

$0K

median occupational fraud loss in banking & financial services.

ACFE 2026

0%

of UK bank fraud losses are authorized push payments.

Mastercard 2023

$0.0B

lost to imposter scams in the U.S.

FTC 2026

$0.0B+

in ACH fraud losses in 2023. The NACHA rule answers this.

AFP Payments Fraud Survey

The moment

The rule changed.
The window is now.

NACHA's ACH Fraud Monitoring Rule lands in 2026. Most institutions are not built for it.

The Payments InstituteListed on Nacha's Credit-Push Fraud Monitoring Resource Center

The rule

Risk-based fraud monitoring becomes mandatory across the network, not just at tier-1 banks.

The gap

Enterprise platforms take quarters to land and price for tier-1 budgets.

The fit

Vara deploys in weeks, regulator-aligned from day one.

Compliance window

From kickoff to live

0days

Supported payment types

0+

Behavioral indicators

0+

Session scored in

<200ms

Versus tier-1 fraud stacks

Fraction of the cost

Weeks to live, not quarters. The window rewards the institutions that move before the effective date.