What security layer does Sophos Endpoint use against zero-day threats?

The security layer that Sophos Endpoint uses against zero-day threats is behavioral identification through deep learning technology. This approach involves advanced machine learning algorithms that analyze the behavior of applications and processes in real time. By focusing on behaviors rather than relying solely on known signatures, this technology can effectively identify and block malicious activity even when it is not previously recorded in the threat database.

This method is particularly effective against zero-day threats, which are exploits that occur on the same day a vulnerability is discovered and before a patch is available. Since these threats can evade traditional signature-based methods, the utilization of deep learning allows Sophos to remain proactive in combating new and emerging threats.

The other options do not provide the same level of protection against zero-day threats. For instance, standard signature-based detection relies on known malware definitions, which cannot detect brand new threats. Manual monitoring by IT staff can help identify issues but is not sufficient for real-time protection, especially against sophisticated attacks. Application whitelisting is a useful strategy to prevent unauthorized applications from executing, but it does not address threats posed by legitimate software that may harbor vulnerabilities. Therefore, behavioral identification through deep learning technology is the most effective option for combating zero-day threats in this context.