Whitepaper

As threats have grown more sophisticated, they’ve developed the ability to evade available detection tools and strategies. Machine learning can be useful in identifying advanced persistent threats, but this requires an understanding of the relationship between data features as well as knowledge of the malware landscape to be truly effective. The optimal approach uses an APT solution that is hardened by machine learning coupled with next-generation analysis, in order to sustain precise and responsive detection of current and future generations of threats.