Over the past few years, ransomware attacks have become more sophisticated, morphing from spray-and-pray phishing blasts to highly targeted and extremely damaging network-wide infections that can cause days or weeks of downtime for a whole organization.
Anomaly detection, the “identification of rare occurrences, items, or events of concern due to their differing characteristics from the majority of the processed data,” allows organizations to track “security errors, structural defects and even bank fraud,” according to DeepAI and described in three main forms of anomaly detection as: unsupervised, supervised and semi-supervised. Security Operations Center (SOC) analysts use each of these approaches to varying degrees of effectiveness in Cybersecurity applications.
The panelists shared that for CISOs sitting in the cyber leadership position, when new systems, platforms, and services are being procured, are they being procured while looking at the whole picture? Or is it a one-off purchase for a single problem or squeaky wheel like, for example, identity management or SIEM?
Join us for our upcoming webinar on Thursday, July 8th at 11:00 AM (PDT), “Tool Sprawl: The Trillion Dollar Problem in Cybersecurity.” It will be hosted by former CISO of CBRE and Current CEO of 5Q, Don Goldstein, and Matt Shea, MixMode’s Head of Federal. They will discuss and review the trillion dollar problem of tool sprawl, how it was created by vendors and industry analysts intent on selling goods and services that ultimately are failing to defend organizations, and how a new way of looking at cybersecurity can help us overcome it.
2020 will be remembered most as the year the world was swept up in the COVID pandemic. Dig a little deeper and you’ll find another alarming news story: 2020 was a record breaking year on the Cybersecurity front. There was more data lost in breaches and a higher number of cyber attacks than ever before.
We recently released a new video to better explain how MixMode’s next-generation cybersecurity anomaly detection platform combines the functionality of SIEM, NDR, NTA and UEBA for advanced threat detection, zero day attack identification, false positive alert reduction, forensic investigation and more.
Managing a relatively small, stable data store is one thing, but dynamic companies face immense challenges when those circumstances change. Data growth can become unwieldy to safeguard when it has to be carefully prepared through a series of time-consuming, manual processes before the security software can evaluate it.
The following is an excerpt from our recent whitepaper, “Why Traditional Cybersecurity Tools Cannot Defend Against Zero-Day and No Signature Attacks,” in which we dive into how traditional cybersecurity tools work, why this fundamentally limits them from being able to detect zero-day or previously unknown attacks, why the industry standard for breach detection is around …