Drive threat prevention to unmatched levels. The artificial intelligence built into Intercept X is a deep learning neural network, an advanced form of machine learning, that detects both known and unknown malware without relying on signatures.
Deep learning makes Intercept X smarter, more scalable, and higher performing than security solutions that use traditional machine learning or signature-based detection alone.
Intercept X denies attackers by blocking the exploits and techniques used to distribute malware, steal credentials, and escape detection. This allows Sophos to ward off evasive hackers and zero-day attacks in your network.
Detection and response technology provides complete visibility of how the attack got in, where it went, what did it touch, and recommends what you should do next.
Intercept X includes the industry's most powerful malware cleaner. While most virus cleaners simply remove offending malware files, Sophos Clean provides forensic-level remediation by eradicating malicious code and eliminating nasty registry key changes created by malware as well.
Synchronized Security simplifies and unifies defenses with real-time intelligence sharing between your endpoints and firewall. This means you get better protection against advanced threats and spend less time responding to incidents.
Intercept X is integrated into Sophos Central, the intuitive cloud-based console for managing all your Sophos Products. No servers to build—just log in to download the agent and configure all your policies from one place.
Intercept X works seamlessly with Sophos Endpoint Protection, or it can be used to augment your existing endpoint security or antivirus software, giving you next-generation deep learning malware detection, anti-ransomware, and anti-exploit technology.
We have created a Testing Guide to provide guidance on what to look for in an endpoint protection tool, and how you can put your endpoint security product through its paces to determine its effectiveness in protecting against a range of threats representative of those observed in the real-world.
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