Mark V Russo

US Patent:

20050160401, Jul 21, 2005

Filed:

Jul 12, 2004

Appl. No.:

10/890313

Inventors:

Mark Russo - Belle Mead NJ, US
Tad Deffler - Boonton NJ, US

Assignee:

Computer Associates Think, Inc. - Islandia NY

International Classification:

G06F009/44

US Classification:

717108000

Abstract:

A system and method for adding user-defined object to a modeling tool are provided. In one aspect, a meta-meta model includes at least a plurality of objects, the plurality of objects used to define meta data of a model of a selected domain. A user is enabled to create one or more instances of the plurality of objects to define one or more concepts that describe the selected domain. A user is further enabled to associate the one or more instances to define one or more relationships among the one or more instances.

US Patent:

20080243881, Oct 2, 2008

Filed:

Mar 11, 2008

Appl. No.:

12/046320

Inventors:

Mark A. Russo - Belle Mead NJ, US

Assignee:

Computer Associates Think, Inc. - Islandia NY

International Classification:

G06F 17/30
G06F 12/00
G06F 17/00

US Classification:

707100, 707204, 707200, 707E17007, 707E17001, 707E17012

Abstract:

A system and method for reducing memory usage is disclosed. The system and method include populating a first container with original data. The first container has a tree-based data structure that includes a plurality of nodes and a plurality of pointers. A block of memory is allocated to a second container that has an array-based data structure. The original data is copied from the first container to the second container. The original data, the plurality of nodes, and the plurality of pointers may be deleted from the first container.

US Patent:

20200304528, Sep 24, 2020

Filed:

Jun 9, 2020

Appl. No.:

16/896676

Inventors:

- Abingdon, GB
Russell Humphries - Surrey, GB
Mark Anthony Russo - Belle Mead NJ, US
Andrew J. Thomas - Oxfordshire, GB

International Classification:

H04L 29/06
G06N 5/04
G06N 20/00
G06F 17/18
G06F 21/56
G06Q 10/06
G06F 16/955
G06F 11/07
G06K 9/62
G06N 7/00
G06F 21/55
G06F 9/54

Abstract:

In a threat management platform, a number of endpoints log events in an event data recorder. A local agent filters this data and feeds a filtered data stream to a central threat management facility. The central threat management facility can locally or globally tune filtering by local agents based on the current data stream, and can query local event data recorders for additional information where necessary or helpful in threat detection or forensic analysis. The central threat management facility also stores and deploys a number of security tools such as a web-based user interface supported by machine learning models to identify potential threats requiring human intervention and other models to provide human-readable context for evaluating potential threats.