Digital Fingerprints provides a continuous authentication solution utilizing behavioral biometrics and device fingerprinting to verify user identity in real-time. This technology addresses the vulnerabilities of traditional login methods by detecting unauthorized access based on unique user behavior patterns, ensuring compliance with PSD2 and GDPR regulations.
Funding
$2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MVFounders
Product
Problem
Traditional username and password logins are vulnerable to hacking and phishing attacks, while conventional multi-factor authentication (MFA) methods like SMS tokens can be compromised. Existing security measures often fail to verify the actual user behind a login, leaving systems open to unauthorized access and account takeovers.
Solution
Digital Fingerprints offers continuous authentication solutions that use behavioral biometrics and device fingerprinting to verify user identity in real-time. The platform analyzes typing patterns, mouse movements, touch screen interactions, and device characteristics to create a unique behavioral profile for each user. By monitoring these behavioral traits, the system can detect anomalies and prevent unauthorized access, even if the attacker possesses the correct login credentials or MFA tokens. This approach enables a Zero Trust security model by continuously validating user identity throughout the session, without impacting user experience.
Target Audience
The primary target audience includes organizations in banking, finance, e-commerce, telecommunications, healthcare, and government sectors that require robust identity verification and fraud prevention solutions.
Features
- Behavioral biometrics analysis based on typing dynamics, mouse movements, and touch interactions
- Device fingerprinting to identify and track devices accessing the system
- Continuous authentication that monitors user behavior throughout the session
- Anomaly detection algorithms that identify deviations from established behavioral profiles
- Risk-based authentication that adjusts security measures based on the detected risk level
- Passwordless authentication options using behavioral biometrics
- Mobile behavioral biometrics for continuous authentication on mobile devices
- Device fingerprinting for identifying trusted devices