Systems liveBook a demoSystems liveBook a demoekPulse · Protect the User & App
ekPulse learns how a genuine customer holds their phone, types, and swipes — then flags the moment those patterns don't match, even if every password and code was entered correctly.
Continuous behaviour check
Pattern matched
Reviewing signal…
Works silently in the background
No extra step for the customer — it learns from normal use of the app.
Catches what passwords can't
A stolen credential still won't behave like the real customer.
Covers both people and sessions
Flags a different person typing, and a remote-control tool moving the cursor in ways a human wouldn't.
Gets stronger with use
The more a genuine customer uses the app, the sharper the behavioural profile becomes.
01. The app observes typing rhythm, swipe pressure, and how the phone is held during normal use.
02. Over time, this builds a behavioural profile unique to that customer.
03. Every new session is compared against that profile in real time, and any mismatch is passed to ekRules as a signal.
Behavioural biometrics are increasingly cited by regulators, including SAMA and RBI, as an expected layer of continuous authentication, beyond a one-time login check.