Collaborate Disseminate
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 positiv… Continue reading New Video: MixMode Cyber Anomaly Detection Platform
It’s evident that while organizations are spending more and more on legacy cybersecurity solutions, these platforms are not holding up their end of the deal and are not able to proactively defend in a modern, non-signature attack threatscape.
The post … Continue reading The Top 5 Considerations That Should Guide Your SOC Strategy in 2021 and Beyond
Cybersecurity vendors promise the moon when it comes to AI. As the recent TechRepublic article, “Why cybersecurity tools fail when it comes to ambiguity,” makes clear, often, these promises fail short in real world network environments.
The post How Se… Continue reading How Self-Supervised AI Tackles Ambiguity in Network Security
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
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 More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental task… Continue reading Why The Future of Cybersecurity Needs Both Humans and AI Working Together
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
Artificial Intelligence – or AI – has become a buzzword since it emerged in the 1950s. However, all AI systems are not created equal. In our white paper, “Self-Supervised Learning – AI For Complex Network Security,” Dr. Pe… Continue reading Whitepaper: Self-Supervised Learning – AI For Complex Network Security
The relationship between modern cybersecurity solutions and AI has become inextricable. The reality is that even the most talented and responsive SecOps teams would be unable to manually catch every threat posed to the sprawling, hybrid networks on whi… Continue reading Self-Supervised Learning – The Third-Wave in Cybersecurity AI
MixMode leaders John Keister, Dr. Igor Mezic, Bryan Elliot, and Russell Gray share how the single algorithm that is the foundation of MixMode’s self-learning AI can understand and continually build a generative baseline of your network without hu… Continue reading New Video: How Does MixMode’s AI Evolve Over Time With a Customer’s Environment?
We interviewed MixMode CTO Dr. Igor Mezic to better understand how machines should be protecting themselves with AI, what roles humans play, and how the DoD and the private sector both benefit from rapid innovation in cybersecurity.
The post CTO Perspe… Continue reading CTO Perspective: Machines Protecting Themselves – The Future of Cybersecurity