Blog

How MixMode is Embracing Zero Trust

Zero-trust is at the heart of the MixMode solution through its use of Self-Learning, Unsupervised AI. The AI is driven by a zero-trust generative model that initially takes no historical knowledge to function and is unbiased from human alteration.

Can You Predict a Cyber Attack Before It Happens?

When hackers breach a network, focus naturally, and wisely, turns to the first point of intrusion. But a wider view, one that includes an understanding of what happened after the breach can empower your organization to predict — and most important, prevent — the next attack. MixMode is helping organizations across the country do just that, every day.

MixMode Welcomes Seasoned Cybersecurity Leader Dan “Thor” Thormodsgaard as a Strategic Advisor

MixMode, a leading provider of self-learning solutions to detect cyberattacks in real time, announces that Dan “Thor” Thormodsgaard has joined the company as a Strategic Advisor. Thor will apply his 25 years of experience in IT Consulting, of which 19 were in IT Security Consulting, to support MixMode in strategic planning and partnerships.

Making an Informed Cloud Security Decision

Many organizations rely on neural networks driven by machine learning that relies on the accuracy of manually constructed training data. Training data errors lead to overlooked anomalous behavior and, often, mountains of false positive and negative flags that have to be reviewed by human analysts.