Organizations are being overwhelmed by malware and potentially unwanted applications (PUAs) such as spyware and adware. While malware and PUAs have been top-of-mind for organizations for years, 2017 brings a significant increase in the level of concern. Even though organizations continue to invest more and more of their IT budgets in security technologies, more attacks are succeeding. In particular, the popularity of ransomware has rapidly increased and it’s causing major operational problems and damage to organizations’ reputations.
First-generation antimalware technologies, such as signature-based antivirus software, are not effective at detecting and stopping current malware and PUAs on endpoints or networks. Sandboxing, endpoint protection suites, and other newer antimalware techniques offer much stronger malware and PUA detection capabilities. Unfortunately, these technologies are resource-intensive, queueing files for analysis and monitoring each file’s behavior during execution, so they can introduce unacceptable latency that disrupts operations.
This report takes a closer look at the current state of malware and PUAs, and explains in more detail why traditional antivirus software and other antimalware technologies alone are not sufficient to protect organizations. The report then proposes a new machine learning-based technology that combats the challenges of zero-day, polymorphic, and highly targeted malware: Webroot BrightCloud ® Streaming Malware Detection. Streaming Malware Detection blocks malicious files in transit at the network edge, without needing to download the entire file, and effectively complements existing antimalware solutions.