Which technology uses advanced machine learning to identify both known and unknown malware?

Deep learning utilizes advanced machine learning techniques to analyze vast amounts of data and identify patterns that can signify the presence of malware. This technology is particularly effective in distinguishing between known malware, which is already cataloged in threat databases, and unknown malware that may not have an established signature. By training algorithms on large datasets, deep learning systems can learn to recognize malicious behavior even if it appears in a new, previously unseen form.

This method goes beyond traditional signature-based detection, which relies on previously documented threats, making it a powerful tool in the fight against evolving cyber threats. As such, organizations that implement deep learning as part of their malware detection strategies are better positioned to defend against both established and emerging threats, thus enhancing their overall security posture.