Abstract An Intrusion Detection System (IDS) is a security mechanism that is intended to
dynamically inspect traffic in order to detect any suspicious behaviour or launched attacks …

A method (and structure) generates a classifier for an anomalous detection monitor for a
target user on a system or application used by a plurality of users and includes providing an …

The technology described herein uses a modular model to process speech. A deep learning
based acoustic model com prises a stack of different types of neural network layers. The sub …

In one embodiment, a device in a network analyzes data indicative of a behavior of a
network using a supervised anomaly detection model. The device determines whether the …

Clustering and outlier detection in anomaly and causation detection for computing
environments is disclosed. An example method includes receiving an input stream having …

This document describes a system and method for quantitatively unifying and assimilating
all unstructured, unlabelled and/or fragmented real-time and non-real-time cyber threat data …

Embodiments of the present invention are directed to facili tating detection of suspicious
access to resources. In accor dance with aspects of the present disclosure, an access graph …

In a first aspect, a method for training and applying a model to detect and classify anomalies
in event logs is disclosed. The method comprises: building a vocabulary of one or more …

Primary Examiner—Khalil Naghdali (74) Attorney, Agent, or Firm—Parker Ibrahim & Berg
LLP; James M. Behmke; Stephen D. LeBarron (57) ABSTRACT In one embodiment, a …

A new cybersecurity incident is registered at a security incident response platform. At a
playbook generation system, details are received of the new cybersecurity incident from the …