Avast Builds Threat Detection Based on Machine Learning to Protect Users from Zero Day Attacks, Malware, and Privacy Threats

Redwood City, Calif. August 31, 2015 – Avast Software, maker of the world’s most trusted PC and mobile security, is creating a kernel-level mobile security solution. Avast is working with Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, to make the new technology available.Qualcomm Technologies developed Qualcomm® Snapdragon^TM Smart Protect to detect and classify zero-day and transformed malware in real time using machine learning-based behavioral analysis, to improve privacy protection and device security. Snapdragon Smart Protect is expected to be available in consumer devices in 2016, in conjunction with the Snapdragon 820 processor.

“Avast’s experience and leadership in the mobile security space made them an obvious choice for this integration,” said Asaf Ashkenazi, director, product management, Qualcomm Technologies. “Thanks to Avast’s advanced AV technology and mobile security solutions, customers will have access to a more comprehensive level of security and privacy protection.”

“Avast is pleased to work together with Qualcomm Technologies to provide hardware-based security that is integrated into the hardware and firmware of Snapdragon processors,” said Vince Steckler, chief executive officer of Avast. “With threats increasing every day, OEMs and mobile operators need to protect their users in real-time. Snapdragon Smart Protect will provide hardware-based security at the processor level, which is designed to help improve consumer safety from rogue applications, zero day attacks, and ransomware.”

Traditional security software can only scan and monitor software behavior at the application and framework layer level. Avast is utilizing Snapdragon Smart Protect on-device, machine-learning technology at the processor level to address zero-day attacks and differentiate between clean and malicious software applications. While consumers will benefit from better protection, OEMs and mobile operators will benefit from reducing the risk of data leakage and malware attacks for their users.

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