AI-powered Continuous Authentication and Threat Detection

Date: 01/23/2024

Time: 1100 – 1200 Eastern Time

Vendor: Zighra

Technology/Topic: AI-powered Continuous Authentication and Threat Detection

TEM Video (milTube): https://www.milsuite.mil/video/watch/video/67387

Welcome to the Technical Exchange Meeting (TEM)!

Zighra brings over 12 years of academic research and commercial implementations in the Continuous authentication space. To date, over 10 granted US patents (and several pending applications in AI/ML based behavioral analytics and sensor analytics) have resulted in over 100 patent citations from the likes of Google, IBM, Microsoft, Mastercard and Blackberry among others Additional features and advancement on the state of the art:

— Ultra-Fast AI: At the core of Zighra’s platform is its Ultra-Fast AI engine. Unlike traditional machine learning which requires thousands of interactions to learn from, Zighra utilizes specialized algorithms which can learn a new user’s behavior and create highly personalized user models 10 times faster. For many use cases, such extended training cycles are not feasible, and therefore such solutions are tried and abandoned.

— Continuous Task-based Authentication: By using a task-based approach to cognitive modeling, Zighra allows for continuous authentication of users and devices, while efficiently using device resources. This becomes a key feature of thermally constrained devices such as smartphones and IoT devices.

— Fully on-device deployment: Zighra can be fully deployed on-device, without any server-side connection to create user models. This is a significant benefit for customers as it helps maintain user privacy and trust. This also enables usage in cloud-denied and network constrained environments. This also eliminates the risk of breaches from centralized repositories.

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