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2008 Best Deployment Scenario

 Enhanced Security and Compliance through Neural Data Analysis


Current Scenario: Security, network and compliance professionals face increasingly diverse and dynamic challenges to maintain the critical systems on which their enterprise relies as well as to detect and investigate possible breaches or policy violations. Adaptive Security Analyzer combines expert rules with concept-based artificial intelligence technology to identify and provide insight about known threats and activity of interest as well as new or elusive threats. ASA empowers administrators and analysts challenged with monitoring and securing computing systems, managing compliance and assuring the integrity of database or other critical infrastructures.

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Tomorrow's Technology Today - StorageSecurity Data Analytics

Tomorrow's Technology Today: Adaptive Security Analyzer emulates the cognitive and self-learning process of a human analyst and can sift through massive volumes of logs to quickly reveal and prioritize the most critical events and advise users of the factors of highest influence to event classification.

Adaptive Security Analyzer’s capacity vastly surpasses its most capable human counterpart or advanced correlation, log or security event analysis tool. For security and compliance practitioners responsible for the review and analysis of security related information, ASA delivers an early warning capability to alert, assess and aid in the remediation of known and new security and compliance-related threats.

Among the emerging technologies demonstrating compelling value include software applications that leverage the latest neural technologies to enhance security and other related data analysis. Neural software applications use complex mathematical algorithms that scour vast amounts of data
and categorize them in much the same fashion as would a human. What’s the difference? Neural applications can examine far more data in less time and more comprehensively than a human can,
highlighting those events that appear suspicious enough to warrant human or automated attention. As security administrators deal with these events, the actions they take are added to the knowledge
base, enabling the neural system to continuously “learn” more about its operating environment. The expert security or compliance professional, coupled with neural data analysis technologies, form what Privacyware calls the “Neural Security Layer” within a complete information assurance and
enterprise risk mitigation framework.

Privacyware is a leading innovator in the use of neural-based technologies that enhance data analysis and threat prevention. The company’s Adaptive Security Analyzer (ASA) software applies techniques such as fuzzy clustering to define normal sets of activity and kernel classifiers to deal with events that don’t neatly fall into any predefined cluster. Adaptive Security Analyzer can work entirely
on its own, defining a baseline of normal activity and then reporting on events outside of that norm, but is optimized when mentored through interaction with the security or compliance practitioner.

Conclusion: ASA complements and enhances the effectiveness of related systems and personnel, helps overcome overwhelming information overload challenges, improves network security and systems management, and strengthens the ability to meet the analytic aspects of regulatory compliance demands.

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