AI Network monitoring
Unveiling The Applications and Distinctions of Machine Learning and Artificial Intelligence in Cybersecurity
The terms "machine learning" and "artificial intelligence" are frequently used in cybersecurity, often interchangeably, leading to confusion about their precise meanings and applications. Both machine learning and artificial intelligence play pivotal roles ...
Navigating the Uncertain Path: Why AI Adoption in Cybersecurity Remains Hesitant, and How to Move Forward
Despite AI's potential to help defend against cyber attacks, AI adoption in cybersecurity practices remains in its early stages. Why is this the case, and how can organizations overcome these hurdles to ...
A Proven Strategy For Defending Against Zero-Day Exploits And Attacks — Updated for 2023
Zero-day attacks are considered the number one cybersecurity threat to company networks large and small. Understand what they are, why it's so hard to detect them, and how artificial intelligence (AI) is ...
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 ...
An Introduction to Baselining Technology
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 ...
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 ...
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) ...
How MixMode’s AI Builds Your Network’s Baseline
Mixmode’s platform utilizes third-wave, context-aware AI to inform the user of threats (including Zero-Day, and encrypted traffic) on their network, and reduces the rate of false positives in intel and alerts consistently ...
