Anomalous sequences are detected by approximating user sessions with heuristically
extracted event sequences, allow ing behavior analysis even without user identification or …

Graph-based detection systems and techniques are provided to identify potential malicious
lateral movement paths. System and security events may be used to generate a network …

US10931699B2 - Systems and methods for detecting security incidents across cloud-based
application services - Google Patents US10931699B2 - Systems and methods for detecting …

(57) ABSTRACT A cybersecurity platform is described that processes col lected data using a
data model to identify and link anomalies and in order to identify generate security events …

Methods and systems for carrying out multiple campaigns of penetration testing using
different lateral movement strate gies for discovering and reporting security vulnerabilities of …

US11567914B2 - Framework and method for the automated determination of classes and
anomaly detection methods for time series - Google Patents US11567914B2 - Framework and …

An anomaly-detection system that gathers information relat ing to the relationships between
entities and represents these relationships in a graph that interconnects each pair of related …

Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL
TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL …

US11095642B2 - Verifying user identity through human / computer interaction - Google
Patents US11095642B2 - Verifying user identity through human / computer interaction …

Graphing services are provided to a device cooperative that includes data contributors, eg,
website hosts. Anonymized user data, provided by the data contributors, is accessed, via a …