Notifications
Clear all
Topic starter
24/06/2026 7:40 pm
TL;DR: Behavioral biometrics uses typing, mouse, and session patterns to verify users continuously, reducing reliance on passwords and device-bound factors in shared or restricted environments, according to 1Kosmos. The control is strongest as a layered signal in IAM, not as a standalone replacement for identity governance.
NHIMG editorial — based on content published by 1Kosmos: Behavioral biometrics and passwordless access in restricted environments
By the numbers:
- BioCatch has analyzed over 16 billion sessions and protects more than 500 million digital banking customers.
Questions worth separating out
Q: How should organisations use behavioural biometrics in IAM programmes?
A: Use behavioural biometrics as a supplementary risk signal for access decisions, not as a replacement for passwords, tokens, or device trust.
Q: When does behavioural biometrics add more value than traditional MFA?
A: It adds the most value when the threat is session abuse rather than login interception, especially in shared workstations, restricted environments, or fraud-sensitive customer journeys.
Q: What do security teams get wrong about behavioural biometrics?
A: The most common mistake is treating it as a standalone identity answer.
Practitioner guidance
- Map the use case before the control Use behavioural biometrics only where the risk is session abuse, account takeover, or restricted workstation access.
- Stack behavioural signals with existing IAM controls Combine typing, device posture, and location signals with step-up authentication or fraud scoring so one noisy signal cannot drive a hard decision on its own.
- Define drift review and threshold ownership Assign one team to approve model tuning, false-positive review, and exception handling so the system does not silently become too permissive or too strict.
What's in the full article
1Kosmos's full article covers the operational detail this post intentionally leaves for the source:
- The vendor comparison matrix for fraud detection, workforce authentication, and restricted-environment use cases.
- Implementation specifics for typing biometrics plus PIN flows in keyboard-only environments.
- Product deployment examples for shared workstations, call centres, and other device-restricted settings.
- Vendor-specific guidance on passwordless verification when phones, cameras, and hardware tokens are not available.
👉 Read 1Kosmos's guide to behavioural biometrics and passwordless access →
Behavioral biometrics and continuous authentication: what changes for IAM?
Explore further
25/06/2026 5:01 am
Behavioural biometrics is a session control, not an identity foundation. Its value lies in reducing uncertainty after initial authentication has already happened. That makes it useful for fraud prevention and access risk scoring, but it does not replace credential governance, device trust, or lifecycle controls. Practitioners should treat it as one layer in a larger decision stack, not as proof of identity by itself.
A few things that frame the scale:
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which is why passive access signals should sit on top of entitlement governance, not replace it.
A question worth separating out:
Q: How can teams manage privacy and consent with behavioural biometrics?
A: They should clearly explain what interaction data is collected, limit use to authentication or fraud prevention, and apply encryption and retention controls from the start. Because behavioural data can fall under biometric regulation in many jurisdictions, legal, privacy, and identity teams need a shared policy for collection, storage, and legitimate use.
👉 Read our full editorial: Behavioral biometrics extends continuous authentication beyond passwords
