The applications of Machine Learning in cybersecurity can make a significant impact on improving detection and reducing false positives, resulting in faster and more efficient security operations.
But there is also a lot of noise and hype around this concept.
In this white paper, we approach AI from a realistic point-of-view to explore the true value and capabilities of Machine Learning. Beyond the myth.
– 12 minutes read –
2 minutes read –
What’s in it for you?
Explore the true potential of Machine Learning in cybersecurity:
Machine Learning vs AI: key terms
What is Machine Learning and how it works Why do we need the support of Machine Learning in threat detection
The most promising use cases according to Gartner
What it takes to build reliable Machine Learning models: challenges and solutions
What is the value that AI and Machine Learning bring to cybersecurity
How to get the best of Machine Learning and AI
Check Gartner’s AI Use-Case Prism in Cybersecurity
Read the blog series examining how Machine Learning should be created to bring additional detection capabilities.
View the report
Read the Machine Learning Blog series
Read the blog series examining how Machine Learning should be created to bring additional detection capabilities.
Read the blog
Explore VMRay’s Cutting-edge Technologies
Explore 20+ unique technologies that enable VMRay to detect unknown threats and sophisticated attacks.
Learn more