Mixmode Blog

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Too Many Alerts: A National Security Threat?

By John Keister, CEO | Oct 17, 2019

No one really wants to talk about the fact that most security products are rules-based systems that may check a box for compliance but do not deliver intelligent, actionable data.

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E-Book: How Unsupervised Learning AI Will Solve ALL Major Roadblocks in the Cybersecurity Industry

By Ana Mezic | Oct 16, 2019

Security experts and researchers are harnessing AI and ML to create products and solutions for an industry faced with rising and highly intelligent cybercrime and legacy stacks that leave advanced breaches undetected.

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What is Network Traffic Analysis? A Beginners Guide

By Christian Wiens | Oct 15, 2019

Network Traffic Analysis (NTA) is one of these newer advancements in cybersecurity. NTA allows the analysis of network traffic (hence the name) at a granular, packet-by-packet level.

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MixMode Whitepaper

Whitepaper: Unsupervised AI – AI for Complex Network Security

By Christian Wiens | Oct 10, 2019

Not only is artificial intelligence necessary for keeping up with the onslaught of lower-tech attacks, but also, AI is becoming crucial for defending against AI-powered cyberattacks, which are just on the horizon.

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MixMode 6.1.8 Investigator – Massive Data, Optimum Performance

By Mark Pfaff | Oct 8, 2019

When revisiting Mixmode API eliminating data over-fetching was one of the key areas that we focused on for our 6.1.8 release.

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4 Ways to Protect Your Business from Zero-Day Attacks

By Christian Wiens | Oct 3, 2019

Zero-day attacks cost businesses millions of dollars in lost revenue and recovery costs and can cripple a company that is not prepared to respond decisively and effectively.

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Why Unsupervised Machine Learning is the Future of Cybersecurity

By Ana Mezic | Oct 1, 2019

Not all Artificial Intelligence is created equal. As we move towards a future where we lean on cybersecurity much more in our daily lives, it’s important to be aware of the differences in the types of AI being used for network security.

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The Difference Between Artificial Intelligence and Machine Learning in Network Security

By Christian Wiens | Sep 26, 2019

Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably when discussing developments in deep learning. However, there is an important difference between the two that network security professionals will need to understand in order to serve their clientele effectively.

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Unsupervised AI as a Service: Predictive Intelligence for Cybersecurity

By John Keister, CEO | Sep 24, 2019

The cybersecurity industry is in need of a massive shakeup. Rules-based software has created an exponential increase in false positive security alerts and zero-day threats are on the rise.

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