Monday, May 25, 2020
 
Home Tags Machine learning (ML)

Tag: machine learning (ML)

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 -
0
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 -
0
Crisis Responders

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

Tammy Waitt -
0
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 -
0

EDITOR PICKS

POPULAR POSTS

POPULAR CATEGORY

© Copyright 2017 - AST