BluVector

A Guide To Machine Learning

For Cybersecurity

Cyber threat actors have reinvented their approaches to evade defenses and wreak havoc.

Machine learning is the latest tool for security teams to get ahead of obfuscated, new and unknown threats. But there has been confusion about machine learning and in particular, how to differentiate among the technologies.

THE PROBLEM

Defenses Rooted in Reaction and The Impetus Behind Machine Learning

HOW MACHINE LEARNING WORKS

Explore the different types of machine learning in cybersecurity and how they differ

SELECTING THE RIGHT CYBER DEFENSE

How to objectively review machine learning technologies and select the right approach

GET THE GUIDE

Monitor high bandwidth, globally dispersed networks for advanced threats that are consistently evading traditional security infrastructures.

BluVector’s supervised machine learning technology is based on over a decade of research and development in understanding how to learn from vast collections of both benign and malicious software.

  • How BluVector Works

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