Zighra has announced that it has been awarded a contract through which the Canadian Department of National Defense is testing its Digital Identity solution powered by tiny machine learning.

According to the company, the test will authenticate the identity of defense personnel within Royal Canadian Navy (RCN) partners.

Zighra says the Canadian Armed Forces (CAF) aims to transform its approach to identity, credential and access management (ICAM) through a project that will introduce a standardized and centrally managed identification and credentialing process, which will support a unique identity for each person and network device accessing CAF information resources and enable tactical operators to efficiently and securely access locations, networks and information.

The company’s Sensor Identity Networks uses distributed, network edge machine learning and its foundational patents in decentralized identification and artificial intelligence (AI) technologies to explore continuous human-machine and machine-machine authentication.

Participants in the pilot create digital identities and are granted secure access to protected resources without depending on traditional passwords, personal identification numbers or smart cards. With each user and sensor interaction the network gets smarter, providing strong identity assurance resistant to compromise or theft.

“Zighra is excited to work with the RCN partners on this innovative project, leveraging the power of sensors and machine learning algorithms to create a sensor identity network that dynamically adapts and learns from human-machine and machine-machine interactions,” said Deepak Dutt, CEO of Zighra Inc.

“The technology is built to run on small sensor-based devices including wearables and smartphones, even in cloud-denied environments. This effort is not only a significant opportunity for the Digital Navy Initiative, but also for other potential providers, putting much needed focus on identity at the front-end of their journey toward zero trust implementations.”