To meet the growing demand for adaptive, intelligent cyber policy enforcement, NetraScale®—in collaboration with University College London (UCL)—is developing CrowdZeroTrust™: a privacy-first, federated AI solution designed to scale Zero Trust enforcement across cloud, hybrid, and on-prem environments.
Despite widespread adoption of Zero Trust principles, practical enforcement remains a significant challenge—especially within complex or distributed organizations. Gartner projects that 75% of U.S. federal agencies will fall short of fully implementing Zero Trust policies by 2026.CrowdZeroTrust™ addresses this enforcement gap.
By leveraging federated AI and privacy-preserving verification, we deliver continuous, adaptive policy enforcement without compromising operational agility.
Eliminates central points of failure and supports learning across decentralized environments.
Validates compliance without exposing sensitive data.
Learns from anonymized peer environments to enhance policy accuracy and threat detection.
Currently operates on Azure; designed to work seamlessly across any cloud or on-prem infrastructure.
Dynamic Access Control
Applies access policies in real-time based on user behavior, device status, and contextual signals.
Distributed Compliance Monitoring
Validates compliance across hybrid environments without centralized bottlenecks.
CrowdZeroTrust is proud to participate in UCL’s Industry Exchange Network (IXN) for a second year. This summer, we’re onboarding three MSc interns from UCL’s Computer Science department to co-develop components of our federated AI models. This collaboration fuels innovation and adds academic rigor to our development process, guided by one of the world’s top computer science programs.
From Static Trust Boundaries to Adaptive Policy Enforcement
CrowdZeroTrust™ transforms Zero Trust from a static, perimeter-based approach into a dynamic model built on contextual intelligence. By combining federated AI, privacy-first cryptography, and peer-derived telemetry, we enable Zero Trust policy enforcement that’s real-time, scalable, and resilient.
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