AI network monitoring tools
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 ...
Yesterday’s SIEM Solutions Can’t Combat Today’s Cyberthreats
While it’s true that having a SIEM is better than forgoing network monitoring all together, a standalone SIEM solution is simply insufficient in today’s cybersecurity landscape. Hackers and other bad actors have ...
How AI Can Help You Stay CCPA Compliant
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 ...
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
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 ...
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 ...
