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PatternEx Applies Artificial Intelligence to IT Security

By any measure, there’s a critical shortage of IT security professionals. And while major strides are being made in terms of IT security training, it’s pretty clear there won’t be enough people with IT security expertise any time soon. Against that backdrop, PatternEx today announced it has developed a PatternEx Threat Prediction Platform that makes […]

Written By
MV
Mike Vizard
Feb 3, 2016

By any measure, there’s a critical shortage of IT security professionals. And while major strides are being made in terms of IT security training, it’s pretty clear there won’t be enough people with IT security expertise any time soon.

Against that backdrop, PatternEx today announced it has developed a PatternEx Threat Prediction Platform that makes use of artificial intelligence (AI) to create what amounts to virtual security analysts designed to augment the IT security expertise already being applied inside an organization.

PatternExSample-Screen-Shot

While an IT security professional will also be needed to make sense of the data, PatternEx CEO Uday Veeramachaneni says the PatternEx Threat Prediction Platform combines machine learning algorithms and anomaly detection technologies with modeling tools to not only detect orders of magnitude more threats, but also substantially reduce the number of false positives that an IT security team has to investigate.

The constant stream of alerts that existing security technologies generate often is the bane of IT security. Over time, those alerts result in IT security fatigue that results in IT organizations becoming less vigilant; it takes too much time and effort to track down the cause of every alert. Veeramachaneni says the PatternEx Threat Prediction Platform makes use of AI technologies to provide more context around the generated alerts.

AI may not solve every IT security issue. But it can go a long way to helping IT organizations address IT security issues at scale. In fact, in all likelihood, hackers will soon be leveraging AI and machine learning algorithms to achieve their own evil ends. In that respect, AI applied by an IT organization is just leveling the playing field.

MV

Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.

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