BrandPost: Palo Alto Networks automates cybersecurity with machine learning

The stakes are high for enterprise cybersecurity teams because of the fast-evolving and insidious nature of malware attacks. Malware is morphing faster than a human can respond with thousands of new variants emerging daily. Attackers can modify their existing attacks using machine learning (ML)-based automation to create new variants that bypass signature-based security.

Cybersecurity technology and service providers are also using ML to stay ahead of these automatically generated attacks by automatically detecting the new variants, quickly creating a new signature, and pushing that out to all the security devices within minutes. Another key benefit of ML for security is detecting and identifying IoT sensors to verify authenticity.

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Author: . [Source Link (*), InfoWorld]

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