StoneLock announced that it will showcase its latest innovations in biometric identity management at ISC West. The StoneLock® True Frictionless™ Solution now supports 20,000 face-only (1:N) users, providing a scalable identity management access control solution for companies of all sizes. At ISC West, StoneLock will showcase its True Frictionless Solution delivering a hassle-free user experience with 1:N capability for up to 20,000 users, providing a truly frictionless, enterprise-level identity management solution. The True Frictionless Solution is a combination of the StoneLock Pro device and the StoneLock Gateway.
StoneLock announced that it will be will be unveiling its newest biometric-centric solution, StoneLock Gateway, at ASIS 2017. StoneLock Gateway is designed to deliver a seamless integration pathway for enterprise-level security. With the addition of StoneLock Gateway, StoneLock now provides an enterprise biometrics solution that provides scalability, high availability, seamless functionality, and traceability across multiple simultaneously connected physical access control systems (PACs), enterprise resource planning systems (ERPs), and other external system integrations. This will provide credentialing data and monitor activity. As enterprises expand and adopt biometric solutions, StoneLock Gateway overcomes limitations with traditional PAC systems that do not allow for the full functionality and power of a biometric device.
StoneLock, a global leader in designing and manufacturing biometrics solutions, announced Jim Trani as the company’s Chief Technology Officer. Bringing forty years of experience in research and development of engineering solutions, Jim will lead StoneLock’s continued technology growth in developing biometric applications for identity and credential management. As CTO, Jim will create the technology vision for StoneLock and translate that vision into new products, through his management of the engineering teams.
StoneLock® Pro’s proprietary near infrared (NIR) technology measures over 2,000 points of reflectivity at the sub-dermal level and creates an encrypted reference file that never contains personally identifiable information (PII), making it less susceptible to typical security and privacy-laden vulnerabilities associated with photo-based facial recognition systems. With an accuracy rate of less than one in a quarter million, (less than 0.0004% False Acceptance Rate) it is ideal for users who recognize the inherent weaknesses of standalone access badges or PINs that can get lost, stolen, or shared.