Callsign Intelligence-Driven Authentication
Zero Trust
Callsign Intelligence-Driven Authentication
Description
Passwords prove you know something. Tokens prove you have something. But the way you type, swipe, and hold your phone proves you are someone, and that is virtually impossible to fake. Callsign Intelligence-Driven Authentication combines behavioral biometrics, device intelligence, and geolocation analysis with machine learning to authenticate users based on who they are, not just what they know. The result is a system that can positively identify genuine users with greater than 99% accuracy while reducing digital impersonation fraud by up to 83%, all without adding friction to the user experience.
TL;DR
- Behavioral biometrics analyzes typing patterns, device handling, and interaction behavior
- Greater than 99% accuracy in identifying genuine users passively
- Reduces digital impersonation fraud (RAT, bot, manual) by up to 83%
- Selected by Visa as preferred behavioral biometric and device intelligence provider
- Supports PSD2 Strong Customer Authentication compliance for financial services
"Visa chose Callsign as their preferred behavioral biometric and device intelligence identity partner."
Callsign as quoted in
PRNewswire
Callsign's Intelligence Engine works by building a behavioral profile for each user, learning the unique patterns in how they type, how they hold their device, and how they navigate through applications. Every subsequent interaction is compared against this profile in real time. Genuine users pass through seamlessly, often without realizing authentication is happening. Imposters, whether human fraudsters using stolen credentials, bots automating account takeover, or remote access trojan (RAT) operators controlling a victim's device, produce behavioral patterns that deviate from the established profile and get flagged immediately. This passive, continuous authentication replaces the binary "authenticated or not" model with a risk score that adapts throughout the session.
Pro Tip: Layer Callsign Behind Existing MFA
Deploy Callsign's behavioral biometrics as a continuous authentication layer behind your existing MFA. Traditional MFA validates identity at login; Callsign validates it throughout the entire session, catching post-authentication account takeover that MFA alone cannot detect.
The platform's selection by Visa as their preferred behavioral biometric and device intelligence identity provider speaks to its enterprise readiness in financial services, where authentication accuracy directly impacts fraud losses and regulatory compliance. Callsign supports PSD2 Strong Customer Authentication requirements, making it particularly relevant for European banking and fintech organizations. By combining hard biometrics (fingerprint, face) with soft behavioral signals and device intelligence, Callsign delivers an authentication experience where security and convenience are not competing priorities but reinforcing ones.
Key Takeaways
- Passive Authentication: Verifies identity through behavior without adding user friction
- Fraud Reduction: Up to 83% reduction in digital impersonation across RAT, bot, and manual attacks
- Visa Partnership: Selected as Visa's preferred identity intelligence provider
- Continuous Validation: Risk scoring adapts throughout the session, not just at login
Frequently Asked Questions
What are behavioral biometrics?
Behavioral biometrics analyze the unique patterns in how a person interacts with their device, including typing rhythm, swipe patterns, device handling, and navigation behavior. These patterns are as individual as a fingerprint and extremely difficult to replicate.
Does Callsign replace traditional MFA?
Callsign can operate alongside or as a replacement for traditional MFA. Most implementations layer behavioral biometrics behind existing authentication to add continuous, passive verification throughout user sessions.
Sources: Callsign,
Callsign Behavioral Biometrics,
PRNewswire
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