Noblis has been awarded a patent for technology designed to verify user identity and environmental conditions using integrated biometric sensing, environmental monitoring and machine learning.
AI-generated impersonation and sophisticated cyber threats are changing the security landscape, requiring organizations to adopt authentication methods that can continuously verify identity throughout a secure session, rather than only at login.
Noblis’ electronic access control system does just that, by combining facial recognition, gaze tracking and blink detection with environmental monitoring to generate a “liveness score” that can detect spoofing attempts like photographs or deepfakes, the company said. It also validates that users are actively present and working in secure environments.
“Traditional authentication happens once, at login. But security threats don’t stop there,” said Erica Maciejewski, a scientist at Noblis and the system’s inventor.
“We combined biometric signals like facial recognition and gaze tracking with environmental sensors, and then we trained a machine-learning model to continuously evaluate that data. If those signals indicate a potential compromise, the system responds in real time.”
The system leverages biometric data and environmental sensing to monitor spatial security, electromagnetic conditions and network integrity. It can grant full access, restrict specific features, or block access entirely.
“This patent came from our internal research program, where our scientists have the freedom to chase hard problems before a customer writes a requirement for them,” said Mile Corrigan, Noblis’ president and CEO.
“We know our customers operate in environments where a single login isn’t enough assurance. Erica’s team delivered with a system that continues verifying identity throughout the session.”
The official U.S. patent number is 12,682,086.