Collaborate Disseminate
Most cybersecurity vendors today tout some form of “Artificial Intelligence” as an underlying mechanism for the differentiation of their product among the market. But if everyone is saying they have AI, and everyone is also claiming theirs … Continue reading Guide: How to Choose an AI-Based Cybersecurity Platform
One thing is clear: more spend does not equal more security and the next generation of cybersecurity tools will route out these inefficiencies.
The post Webinar Recap: The Next-Generation AI Powered SOC Platform appeared first on Security Boulevard.
Continue reading Webinar Recap: The Next-Generation AI Powered SOC Platform
Many CISOs and SecOps teams were faced with a gut-wrenching choice: addressing the operational challenges of keeping workers connected, or shoring up vulnerabilities before hackers exploited them. Both options involved time-consuming, repetitive, manua… Continue reading Deep Dive: How much time do security teams spend labeling with Supervised Learning?
A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental task… Continue reading Why The Future of Cybersecurity Needs Both Humans and AI Working Together
Since we determine everything on data here at MixMode, we went into our website data to see which of our Q2 articles got the most traffic over the past few months. Not surprisingly, the majority of our top articles covered topics on the advancement of … Continue reading Our Q2 Top Cybersecurity Insights
One of the most prevalent issues impacting the effectiveness of security teams who use SIEM as their primary means of threat detection and remediation is the fact that data logs are an attractive medium for modern hackers to exploit.
The post The Probl… Continue reading The Problem with Relying on Log Data for Cybersecurity
Real unsupervised AI spots security issues sooner and predicts future behavior more accurately than older first- and second-wave solutions. Self-supervised AI technology draws on an understanding of the fundamental nature of the network where it lives,… Continue reading The (Recent) History of Self-Supervised Learning
Yann LeCun and Yoshua Bengio were recently interviewed by VentureBeat Magazine on the topics of Self-supervised learning and human-level intelligence for AI. Our CTO Dr. Igor Mezic sat down with our team to discuss some of the most interesting pieces o… Continue reading MixMode CTO Responds to LeCun’s Self-Supervised AI Hopes
The following is an excerpt from our recently published whitepaper, “Self-Supervised Learning – AI for Complex Network Security.” The author, Dr. Peter Stephenson, is a cybersecurity and digital forensics expert having practiced in th… Continue reading Why Training Matters – And How Adversarial AI Takes Advantage of It
With MixMode in the center of a program, we will make all the other security investments that you’ve made, better. So when you send data to your SIEM, when you send data to your SOAR, you don’t want those products to be overwhelmed with fal… Continue reading New Video: How is MixMode Different From Today’s Network Security Tools?