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March 10, 2008
Privacyware Renews Gold Certified Status in Microsoft Partner Program.
 
December 4, 2007
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August 17, 2007
Privacyware Wins 2007 Tomorrow's Technology Today Award.
 
June 15, 2007
Privacyware Announces New AI-based Security Data and Log Analyzer.
 
February 21, 2007
Privacyware Attains Gold Certified Partner Status in Microsoft Partner Program.
 
January 31, 2007
Info Security Products Guide Honors Privacyware with “Hot Companies” Award 2007.

December 14, 2006
Privacyware Endpoint Security Console 2.0 Defends Enterprise Desktops and Servers from Known and New Threats.

September 1, 2006
Privacyware and Privatefirewall Named 2006 Readers' Choice Award Winner by Windows IT Pro.

August 30, 2006
Privacyware Unveils Privatefirewall 5.0 – Desktop Security Software Blocks Known and New Malware and Hacking Threats.

July 31, 2006
ThreatSentry Delivers Affordable, Versatile Protection for Windows Web Servers.

June 26, 2006
Privacyware CTO to Present Research on Enterprise Security Analytics and Machine-Learning at WORLDCOMP'06.

June 13, 2006
Privacyware Targets Zero-Day Windows Threats with Behavior-based Dynamic Security Agent.

April 10, 2006
Privacyware Chief Executive Named to VARBusiness Magazine ‘Executives to Watch’ List.

February 21, 2006
Privacyware to Participate in CMP XChange 2006 Solution Provider Conference.

January 31, 2006
Privacyware Wins ‘Hot Companies’ 2006 Award From Info Security Products Guide.

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Privacyware CTO to Present Research on Enterprise Security Analytics and Machine-Learning at WORLDCOMP'06

RED BANK, N.J., June 26, 2006 – Privacyware Chief Technology Officer Dr. Konstantin Malkov will present a research paper entitled “On Extreme Principles of Machine Learning in Anomaly and Vulnerability Assessment” at the 2006 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'06) to be held June 26th-29th  in Las Vegas, Nevada.

Dr. Malkov’s paper, co-written with Privacyware Enterprise Security Analytics Senior Researcher, Dr. Dmitry Tunitsky, addresses performance and accuracy limitations in the analysis of high-volume, high-dimension data within anomaly detection and analysis systems. The paper describes an adaptive, machine-learning approach that ensures greater throughput (requires less computational resources) and progressively improved accuracy in the detection of and derivation of knowledge about atypical activity among very large data sets in dynamic computing (and other) environments. The machine learning approaches described enable the analytic capabilities of Privacyware’s Adaptive Security Engine and its related Enterprise Security Intelligence solutions.

The 2006 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'06) is the largest annual gathering of researchers in computer science, computer engineering and applied computing. It assembles a spectrum of affiliated research conferences, workshops, and symposiums into a coordinated research meeting held in a common place at a common time.

Based in Red Bank, New Jersey, Dr. Malkov is the co-founder of Privacyware, an innovative provider of multi-layered endpoint defense and enterprise security intelligence software. Dr. Malkov is one of the world's foremost experts in non-linear mathematics and artificial intelligence. He is a former professor at Moscow State University and a founder of the Department of Non-linear Dynamic Analysis and the I&C Laboratory.

Event Details:
Conference attendees may join Drs. Malkov and Tunitsky for a presentation and discussion of their research on Wednesday, June 28th, at 9:30 am in Meeting Room 2 of the Monte Carlo Hotel and Casino Conference Center. Additional information regarding WORLDCOMP'06 is available on the web at: http://www.world-academy-of-science.org/worldcomp06/ws


About Privacyware

Privacyware is an innovative provider of multi-layered endpoint defense and security intelligence software. Privacyware develops products that deliver immediate and adaptive protection from new and known threats and unauthorized use and enable more informed and responsive decision making by security and compliance administrators. For more information, please visit: www.privacyware.com

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Press Contact:
Greg Salvato
PWI, Inc./Privacyware
Tel: 732-212-8110

Email: gsalvato@privacyware.com


 

 

 

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