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.