Not all machine learning is created equally

Deep learning neural networks have consistently out-performed other forms of machine learning when it comes to detecting malware. Smarter than other forms of machine learning, deep learning automatically finds the best combination of inputs for detection. This makes it capable of detecting stealthy malware other engines would miss.

It’s also more scalable. It’s able to “memorize” the entire observable threat landscape as part of its training process. The more information it can process, the more accurate its predictions will be. This is how the deep learning in Intercept X stays up to date at all times. Plus it’s lighter on your machine than other offerings, with almost no impact on performance.

Deep learning threat prevention includes:

Experienced Design

The Sophos malware detection model was created by our team of scientists using DARPA-driven technology – built to uncover the “DNA” of malware.

Proven Effectiveness

Intercept X has been tested by the best. Independent, third-party testers have time and time again found our deep learning technology to be extremely effective with low false positives.

Powered by SophosLabs

SophosLabs data scientists work with hundreds of millions of samples of malware, allowing them to create the best possible prediction models. They team with threat researchers to constantly improve.

Threat detection and remediation built for the future

Sophos Intercept X doesn’t just offer powerful deep learning malware detection. It also provides anti-ransomware, active adversary protection, and anti-exploit technology, as well as the ability to add endpoint detection and response (EDR) capabilities which also leverages deep learning. This automated, proactive detection works to keep endpoints safe from any complex, advanced attack that comes your way.