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Cylance Introduces AI-Powered Cloud Security Solution for AWS

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Cylance Secures Cloud Workloads in Public, Private, and Hybrid Cloud Computing Environments

Cylance Inc., the leading provider of AI-driven, prevention-first security solutions, announced support for Amazon Web Services (AWS) with CylancePROTECT® for the cloud.

Cylance develops innovative artificial intelligence capabilities to detect and prevent malware from executing. The company’s award-winning CylancePROTECT® solution now supports AWS Linux to protect application instances running on cloud services infrastructure from cyber threats, and its proven AI techniques further extend to the Cylance AI-powered endpoint detection and response (EDR) solution CylanceOPTICS™ to provide insight and threat hunting capabilities against those threats.

Read More: Interview with Angel Gambino, CEO and Founder of Sensai

“We are excited to make our AI-driven, prevention-first security solutions available to cloud computing environments,” said Stuart McClure, founder and chief executive at Cylance. “By approaching security with sophisticated machine learning techniques and offering scalable threat detection, response, root cause analysis, and threat hunting, Cylance helps prevent data breaches that impact the security of an organization’s data in the cloud.”

While nearly two-thirds of enterprise computing still occurs in on-premises data centers, analysts predict that 90 percent of organizations will adopt cloud hybrid strategies by 2020. Organizations with closed networks, private clouds, or limited connectivity face the challenge of protecting against cyber attacks across multiple environments using existing security resources.

Read More: Interview with Jeffrey Kofman, CEO and Founder at Trint

“Endpoint security has evolved from signature-based malware scanning, detecting, and blocking to more advanced capabilities,” said Matthew Ball, principal analyst at Canalys. “AI on the endpoint is a game-changer for cybersecurity providers by enabling customers to implement hybrid-IT strategies that utilize both cloud and on-premises resources, while protecting the most vulnerable points in their extended networks. Without AI, securing customer data will become even more challenging as IT complexity increases.”

Read More: The Top 5 “Recipes” That Give AI Projects a Higher Likelihood of Success

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