Quest Software Inc.

Akonix Systems, Inc.

Aptex Software, Inc.

Richard S Pugh

Robert Poling

Randy Miller

Dmitry Shapiro

Michael A Lazarus

William Robert Caid

Kenneth B Brown

Gerald S Russell

Joel Lawrence Carleton

Bradley D Kindig

A protocol management system is capable of detecting certain message protocols and applying policy rules to the detected message protocols that prevent intrusion, or abuse, of a network's resources. In one aspect, a protocol message gateway is configured to apply policy rules to high level message protocols, such as those that reside at layer 7 of the ISO protocol stack.

Systems and methods for managing messages in an enterprise network

Systems and methods for implementing protocol enforcement rules

Systems and methods for a protocol gateway

Systems and methods for authentication of target protocol screen names

Automatic discovery of users associated with screen names for rogue protocols. A local server associates screen names with users, updating those associations in response to the protocol. The local server intercepts protocol messages, determines if they relate to unknown users, and obtains information associating screen names with users. Policy rules are applied to all screen names for the same user in an aggregated manner. The local server sends a request to an authorization server coupled to the local network, including the IP address for that screen name. The authorization server interrogates a registry file on the user workstation to obtain a GUID for that user, and from that GUID obtains a unique logon name for that user from the domain controller for a local network.

Automatic discovery of users associated with screen names

Systems and methods for reflecting messages associated with a target protocol within a network

A system and method for selecting and presenting personally targeted entities such as advertising, coupons, products and information content, based on tracking observed behavior on a user-by-user basis and utilizing an adaptive vector space representation for both information and behavior. The system matches users to entities in a manner that improves with increased operation and observation of user behavior. User behavior and entities (ads, coupons, products) and information (text) are all represented as content vectors in a unified vector space. The system is based on an information representation called content vectors that utilizes a constrained self organization learning technique to learn the relationships between symbols (typically words in unstructured text). Users and entities are each represented as content vectors.

System and method for optimal adaptive matching of users to most

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Poway, CA, United States of America

Richard S Pugh