Cylance develops innovative artificial intelligence capabilities to detect and prevent malware from executing. Our 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.
“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 cyberattacks across multiple environments using existing security resources.
“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.”
Cylance simplifies cloud security by utilizing an agent with a small footprint and with no configuration or signature-update needs.
AWS re:Invent 2018 attendees can get a sneak peek at this exciting offering by joining Cylance Security Engineer Thomas Perniciaro for his session, Using Data Science to Secure Cloud Workloads on Wednesday, November 28, at 1:10 p.m. in the Pilvi Theater.