Ryan Permeh on machine learning
From Achieving Artificial Intelligence, Not Artificial Security with Ryan Permeh, Cylance · · BlackHat
“Cylance takes a different viewpoint: machines do what machines do well and humans do what humans do well — we adopted a data science approach by training machines so they can take a lot of the load off humans in areas like malware protection, anti-exploitation, behavioral analysis and incident response.”
On , Ryan Permeh, Cofounder at Cylance, spoke about machine learning during Achieving Artificial Intelligence, Not Artificial Security with Ryan Permeh, Cylance on BlackHat.
About Ryan Permeh
In a June 2018 interview at Black Hat, Ryan Permeh, cofounder and chief scientist at Cylance, discussed the role of artificial intelligence in cybersecurity. Permeh stated that cyberattacks have become more public and carry greater reputational and business consequences, citing examples such as state actors, ransomware, and WikiLeaks. He argued that the security industry faces a shortage of skilled personnel, describing a "negative 200 percent unemployment rate" in security, and said that scaling the problem requires tools and technology rather than relying solely on human capital. Permeh described Cylance's approach as using machine learning to offload tasks such as malware protection and incident response from humans. He emphasized that effective AI requires world-class data scientists, subject-matter experts, and engineering, and cautioned that without these elements, organizations face significant challenges. Permeh also promoted Cylance's "compromise assessment" service, which he said allows the company to test networks for potential threats.