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Report Cylance AI-Driven Threat and Incident Prevention, Detection and Response

AI-Driven Threat and Incident Prevention, Detection and Response

Modern threat landscape organizations must address the over 350,000 new variants of malware created every day

Traditional cybersecurity approaches suffer from two glaring weaknesses. First, they rely on the digital signatures of known malware in order to identify threats. Second, they are reactive in nature, ascribing to the “it’s not a matter of if, but when” mentality and often responding to the damage caused by zero-day threats only after they execute. Many cybersecurity companies attempt to stop evolving threats by building new layers of security on top of existing solutions - but this only makes it harder to identify and respond.

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Download this guide to understand how an AI-driven approach can help you meet your security requirements successfully.