Hacking the Hackers: Adversarial AI and How to Fight It

Advances in Artificial Intelligence (AI) have led to smarter, more robust network security platforms that are quickly replacing legacy security solutions ...
Our Top 5 Cybersecurity Insights from 2019

Our Top 5 Cybersecurity Insights from 2019

This year on the MixMode blog, we have covered headline stories, analyzed every pain point within network security, and shared what we believe to be some of the most innovative solutions to ...

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

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 ...

How to Use Your Baseline for Network Security

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 ...

How to Create a Baseline for Your Network

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

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

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 ...
Combating Zero-Day Attacks with Unsupervised AI

Why Unsupervised Machine Learning is the Future of Cybersecurity

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 ...

The Difference Between Artificial Intelligence and Machine Learning in Network Security

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 ...

Unsupervised AI as a Service: Predictive Intelligence for Cybersecurity

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 ...
Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough

Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough

In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI) ...