The technology disclosed relates to machine learning based anomaly detection. In
particular, it relates to constructing activity models on per-tenant and per-user basis using an …

Natural language processing is enhanced by linguistically extracting intelligence about a
user. A history of user queries is analyzed by a natural language classifier to determine …

A cyber security appliance has modules that utilize probes to interact with entities in a cloud
infrastructure environment (CIE). A cloud module can 1) use the information about relevant …

An expert interface component can automatically connect a system user with a system
support expert. A user interface module can present a threat-tracking graphical user …

Primary Examiner Morshed Mehedi (74) Attorney, Agent, or Firm-Rutan & Tucker, LLP (57)
ABSTRACT A multivariate anomaly detector can detect a cyber-attack using incremental …

Disclosed herein is a method for detection of a cyber-threat to a computer system. The
method is arranged to be per formed by a processing apparatus. The method comprises …

US11606373B2 - Cyber threat defense system protecting email networks with machine
learning models - Google Patents US11606373B2 - Cyber threat defense system protecting …

An AI adversary red team configured to pentest email and/or network defenses implemented
by a cyber threat defense system used to protect an organization and all its entities. AI model …

The endpoint agent detects a cyber threat on an end-point computing device. The endpoint
agent on the computing device has a communications module that communicates with a …

A system, method, and computer-readable medium are disclosed for enforcing security
policies. Enforcing security policies includes monitoring electronically-observable user …