With the rise of remote work and outsourcing, ensuring the authenticity of user interactions on computing devices has become a growing concern. Various entities—such as individuals, institutions, and companies—often assign computing devices to personnel for professional tasks. These devices can include work computers, personal computers, or virtualized environments.
Traditionally, authentication methods like passwords, multi-factor authentication (MFA), and biometric verification are used to verify a user's identity at login. However, these methods do not continuously confirm that the authorized user remains the only person operating the device. Once logged in, an authorized user might leave the workstation unattended or delegate work to someone else, including remote freelancers or subcontractors, which can lead to security risks.
In cases where sensitive information is involved, unauthorized remote access presents significant dangers. For example, a device could be accessed remotely via remote desktop protocols (RDP), virtual machines (VMs), or other methods that don't require physical presence. While behavioral analysis and anomaly detection can help spot unusual activity, they often produce false positives and negatives, especially since legitimate users may behave differently due to fatigue, stress, or environmental factors.
To solve this problem, the present invention introduces a system that combines *** to verify user authenticity continuously.
Unlike prior solutions that rely on behavioral biometrics, keystroke dynamics, or facial recognition—which can be spoofed or are prone to errors—this invention offers a *** verification method. By using physical sensor data rather than behavioral analytics, it delivers a more secure and reliable authentication process.
The invention applies to various computing environments, including desktops, laptops, and virtual workspaces. It provides enhanced security for organizations that require strict access control, whether in corporate, institutional, or personal settings.