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Corporate Facilities

Cloudastructure Nominated to Compete in 2021 ‘ASTORS’ Awards

Tammy Waitt - August 11, 2021

Gurucul provides a comprehensive view of user/entity behaviors and detects risky outliers using a library of advanced machine learning (ML) models and identity-centric data science, artificial intelligence (AI), anomaly detection and predictive risk-scoring algorithms to identify abnormal behaviors and activities indicative of security threats. (Courtesy of Gurucul)

Corporate Facilities

Gurucul Nominated to Compete in 4th ‘ASTORS’ Awards Program

Tammy Waitt - May 20, 2020

The new automated Federal Protective Service Threat Assessment Report (TAR), developed in conjunction between Argonne National Laboratory and the Department of Homeland Security’s Federal Protective Service (FPS), is a revolutionary, human-in-the-loop, machine learning (ML) based threat assessment process that significantly enhances understanding of vulnerability and threat assessments, as well as the optimization of countermeasure recommendations.

Access Control & Identification

Federal Protective Service Recognized in 2019 ‘ASTORS’ Awards Program

Tammy Waitt - December 13, 2019

Crisis Responders

SpotterRF Competes in 4th Annual ‘ASTORS’ Awards with ‘SPOTTERai’

Tammy Waitt - September 14, 2019

World's first AI powered multi-step bio-metric authentication platform Creates personalized CYBER CLONE, thru a multi-step bio-metrics ecosystem that acquires a unique biological code to create a digital clone of the person, a bio-intelligent digital key/password that guarantees with a very high degree of accuracy the identity of the person.

Access Control & Identification

‘Global Body Data Clone’ to Secure Global Blockchain/Crypto Exchanges

Tammy Waitt - June 20, 2018