Mixmode Blog

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The Evolution of “Next-Generation” Manufacturing and the Need for Network Security

By Christian Wiens | Dec 17, 2019

The new MixMode & RAVENii whitepaper, “The Evolution of ‘Next-Generation’ Manufacturing and the Need for Network Security,” is a comprehensive look at how third-wave AI is improving modern network security across connected manufacturing networks and beyond.

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How AI Can Help You Stay CCPA Compliant

By Christian Wiens | Dec 12, 2019

Consider investing in emerging tech tools that can add a deeper layer of data privacy protection. Artificial intelligence technology, in particular, holds a great deal of promise when it comes to complying with the CCPA and improving the way companies handle data in general.

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Don’t Fall for the Hype – Marketing Myths in Artificial Intelligence for Cybersecurity

By Christian Wiens | Dec 10, 2019

The cybersecurity provider landscape is cluttered with impossible claims, misrepresentations, and a confusing mix of inconsistent terminology. Worse, every minute you delay making a decision is another minute hackers have to gain access and knowledge about your network.

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Generative Unsupervised Learning vs. Discriminative Clustering Technology: Which Prevents Zero-Day Attacks?

By Ana Mezic | Dec 5, 2019

Knowing the difference between Discriminative and Generative Unsupervised Learning can tell you a lot about the effectiveness of a cybersecurity solution’s artificial intelligence, for example, whether or not that security solution can perform actions like identifying and stopping a zero-day attack.

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How to Use Your Baseline for Network Security

By Ana Mezic | Dec 3, 2019

This is the final article in a three-part series on Network Baselining. Read the first two articles in the series here:
1) An Introduction to Baselining Technology
2) How to Create a Baseline for Your Network

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How to Create a Baseline for Your Network

By Ana Mezic | Nov 26, 2019

We separate the parts that are wavelike and we separate the parts that are stochastic. Then, five minutes later we look again and compare what we’ve seen historically and what the AI has predicted to happen to the current state of the network. If they are different, that’s an anomaly detected.

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Case Study: MixMode AI Detects Attack not Found on Threat Intel

By Russell Gray | Nov 21, 2019

In October, 2019 a MixMode customer experienced an incident where an external entity attacked a web server located in their DMZ, compromised it, and then pivoted internally through the DMZ to attempt access of a customer database. While the attacker was successful in penetrating the customer’s network, MixMode was able to detect the event before they were successful in penetrating the customer database.

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An Introduction to Baselining Technology

By Ana Mezic | Nov 19, 2019

This is the first installment of the three part blog series on creating baselines of network behavior to improve your security stance. Here we will walk you through the basics of baselining technology.

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What’s New in MixMode: November 2019

By Bryan Elliot | Nov 14, 2019

Today we announced a small but exciting update to MixMode’s Network Traffic Analysis platform! We have made performance and usability updates to the indicators page below: The Indicators page has been completely re-architected for a tremendous improvement in speed and performance. I urge you to go and try it for yourself right now – you […]

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