Learning from similar cloud deployments, including: identifying, for at least a portion of a first
cloud deployment, one or more additional cloud deployments to utilize for cross-customer …

A guided anomaly detection framework, including: gathering data describing activity
associated with an anomaly detection framework monitoring a cloud deployment; …

A computer-implemented method for establishing communications, comprising receiving,
from an initiator, an input with a user identifier (ID) to initiate a communication, determining …

Methods and systems for detecting and preventing malicious software activity are presented.
In one embodiment, a method is presented that includes monitoring network com …

Abstract Systems and methods for tracking, collecting, processing, enriching, analyzing and
reporting on data in the context of cyber security investigations are disclosed. According to …

Learning from other cloud deployments to combat security threats, including: identifying, for
at least a portion of a first cloud deployment, one or more additional cloud deployments to …

Leveraging generative artificial intelligence ('AI') for securing a monitored deployment,
including: receiving natural language input associated with the monitored deployment, the …

A natural language interface for an anomaly detection framework, including: receiving a
natural language input associated with a cloud deployment; generating a query …

Integrating a natural language interface into an anomaly detection framework, including:
detecting, by an anomaly detection framework, an occurrence of an event associated with …

Providing a data lake-enabled security platform, including: storing security data associated
with a customer in a data lake comprising a plurality of storage environments implemented …