For security providers, sophisticated machine learning provides fast and accurate threat detection, including zero-day and previously unknown threats. Advanced heuristics and rules allow machine learning models to help determine in near real time if a file, URL, IP, or application is a threat, and then communicate that information broadly.
Despite an ever changing threat landscape, machine learning enables very high detection rates over time. Machine learning technology is now emerging as a critical component across all of the various domains of cybersecurity.
Machine learning can power next-generation endpoint protection, mobile protection, threat intelligence, web security and network anomaly detection offerings. It enables threat activity across multiple security domains to be contextually associated in real time.