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  • A Machine Learning Model for Detecting Malware Outbreaks Using Only a Single Malware Sample

    August 07, 2019
    We delve into how machine learning performs dynamic malware detection in a scenario where only a single malware sample is available.
    Read more   
  • Risks Under the Radar: Understanding Fileless Threats

    July 29, 2019
    Hackers use fileless threats to take advantage of existing applications and attack systems. Here we discuss noteworthy events, techniques, and best practices that can help identify fileless threats and defend against attacks.
    Read more   
  • New Phishing Campaign Uses OneNote Audio to Lure Users to Fake Microsoft Login Page

    July 08, 2019
    In a new phishing campaign, audio recordings purportedly shared via OneNote were used as a lure to lead email recipients to a fake Microsoft login page that steals user account credentials.
    Read more   
  • Guide to Network Threats: Strengthening Network Perimeter Defenses with Next-generation Intrusion Prevention

    May 23, 2019
    Enterprises continue to face both old and new threats in their respective industries. This evolving world of threats emphasize the need for better perimeter security.
    Read more   
  • Container Security: Examining Potential Threats to the Container Environment

    May 14, 2019
    The rise in adoption of containers means a greater need for security awareness. Our infographic details the various threats that container users could encounter at each stage of the development pipeline.
    Read more   
  • New Research Reveals How Adversarial Attacks Can Subvert Machine Learning Systems

    March 27, 2019
    A recently published paper warns of the prospect of advanced techniques being used to throw machine learning (ML) systems off.
    Read more   
  • Using Machine Learning to Detect Malware Outbreaks With Limited Samples

    February 14, 2019
    Catching malware outbreaks early keeps users, communities, enterprises, and governments safe. But if malware samples are scarce, can machine learning help analyze, detect, and end an outbreak?
    Read more   
  • Security 101: Defending Against Fileless Malware

    December 20, 2018
    Fileless threats aren’t as visible compared to traditional malware and employ a variety of techniques to stay persistent. Here's a closer look at how fileless malware work and what can be done to thwart them.
    Read more   
  • Network Threats Examined: Clustering Malicious Network Flows with Machine Learning

    October 30, 2018
    Evasive network threats pose serious risks to enterprises. Learn about malicious network flow clustering—a machine learning-powered method for addressing concerns on network threats.
    Read more   
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