Instead of verifying identity only once at login, Continuous User Authentication keeps checking the user's identity throughout the session. It uses signals like how you type and move, your device, location and network to maintain confidence that the person using the account is still the legitimate user. If that confidence drops — say the behaviour suddenly changes — it can step up with an extra challenge or block the session. It's the practical expression of the Zero Trust principle "always verify".

Behavioural biometrics recognise patterns in how you interact — typing rhythm, mouse movements, swipe and scroll behaviour, how you hold a phone. Unlike a fingerprint or face scan, they generally model patterns of behaviour rather than storing your physical identity, and they run silently. That said, this data can be sensitive, so responsible vendors minimise what they collect, secure it well and support clear consent — which matters under India's DPDP Act, and which we help you scrutinise.

No — it complements it. MFA strengthens the login, while Continuous Authentication Solutions protect everything that happens after it. Together they cover the whole session: strong verification at the door, then ongoing assurance that the door wasn't quietly taken over. In fact, adaptive systems often use continuous risk signals to decide when to trigger MFA — challenging only when risk rises rather than on every action. We can help you fit it alongside your existing MFA and SSO.

That's the key risk, and it's why accuracy and tuning matter so much. A poorly tuned system produces false positives that frustrate genuine users; a good one is highly accurate and steps up only when risk is real, staying invisible the rest of the time. Deployments usually start in monitor mode to learn normal behaviour before enforcing. We highlight false-positive performance clearly, because it's what makes or breaks adoption.

For banks and payments, continuous authentication supports RBI's focus on fraud prevention and secure digital transactions, and complements additional-factor-of-authentication expectations. Because behavioural signals can be sensitive personal data, DPDP consent, purpose limitation and secure handling apply, and data location can matter for residency. Pricing is often per monthly active user for consumer fraud use cases, or per user per month for workforce. Figures here are illustrative, and this is general guidance, not legal advice — confirm current requirements with the vendor and your advisors.