InnaIT
Behavioural Biometrics for Banking

How it works

The InnaIT Behavioural Biometrics solution captures touch, swipe, typing, motion, and navigation events during a session. These signals are transformed into privacy-aware feature vectors and securely streamed for scoring, where a per-user behavioural model compares live behaviours with the learned baseline and returns a trust score. That score can then drive an allow, step-up, or block decision through the bank’s authentication and fraud workflow

Adaptive response for every transaction

A configurable trust policy helps reduce friction for genuine users while escalating only when risk is elevated. High-risk sessions are blocked and alerted, ambiguous sessions trigger step-up authentication such as device-bound biometrics, FIDO, or PKI signing, and genuine sessions proceed silently

In line with regulatory requirements

Go beyond login-time authentication with adaptive, risk-based step-up for high-risk and ambiguous transactions. Designed for modern fraud scenarios and aligned to the RBI Authentication Directions, 2025, which highlight three themes: two-factor authentication, one dynamic factor for digital payments, and explicit encouragement for risk-based checks using behavioral, device, location, and historical signals

Built to complement the InnaIT stack

Behavioural biometrics work best as part of a broader trust model. InnaIT  combines behavioural trust, device trust, identity, and PKI-based transaction signing, giving banks a more complete defence against phishing, remote access fraud, impersonation, and transaction abuse

Make every session a trusted one! Talk to us about a discovery workshop, sandbox pilot, and a plan for phased rollout for behavioural biometrics in mobile and net banking!