The world’s first Dynamic Threat Detection Platform
Learn about MixMode’s Dynamic Threat Detection Solutions
MixMode’s use cases for your cyber initiatives
How customers in different industries utilize MixMode
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 become more sophisticated — many of today’s cybercriminals can easily outsmart a standard SIEM setup.
Yesterday’s SIEM Solutions Can’t Combat Today’s Cyberthreats Read More →
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 help you analyze network traffic, surface threats and anomalies, and stop attacks using autonomous AI.
Our Top 5 Cybersecurity Insights from 2019 Read More →
In this environment, it’s no surprise that U.S. CEOs rated cybersecurity as their top external concern in a survey conducted by the Conference Board. Those worries are unlikely to fade anytime soon, but 2020 also brings fresh opportunities for proactive measures to secure sensitive information. Here’s what you need to know about the trends that are currently emerging in cybersecurity and how you can make a difference in the future of the field:
What Trends Will Shape the Cybersecurity Industry in 2020? Read More →
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.
The Evolution of “Next-Generation” Manufacturing and the Need for Network Security Read More →
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.
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
How to Use Your Baseline for Network Security Read More →
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.
How to Create a Baseline for Your Network Read More →
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.
Case Study: MixMode AI Detects Attack not Found on Threat Intel Read More →
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.
An Introduction to Baselining Technology Read More →
The best way to detect threats across an entire network in the quickest manner is to have complete visibility over every part of that network with a multi-stream platform which can incorporate not only network data, but Cloud Data and SIEM logs as well.
Multi-Stream Cybersecurity and How it Can Save Your Business from a Zero-Day Attack Read More →
The most popular form of in house deployment of MixMode is to deploy our OVA virtual appliance on an existing internal VMware ESXi infrastructure.
MixMode On-Premise Now Available Read More →
Third-Wave artificial intelligence (also known as Wave 3 AI), is making life a whole lot easier for security systems administrators. It seems like we just passed the milestones of incorporating AI into network security. But Dr. Igor Mezic and others in this field have made huge strides in the last year. In his new whitepaper on AI for Network Security, Dr. Mezic describes how Third-Wave AI brings flexibility and intuition into the world of machine learning.
Dynamic and Flexible AI for Network Security Read More →
We ingest your CloudTrail logs into our platform, apply a layer of our Proprietary Artificial Intelligence to give you advanced anomaly detection and alerting, correlate those anomalies with your underlying network data and give you access to forensic search and investigation of these logs.
Leveraging MixMode to monitor AWS Cloudtrail Read More →
Effective modern network security needs to defend against an unprecedented number of threats. Today’s SecOps teams face both rudimentary hacking attempts and highly sophisticated, targeted attacks that pose serious safety and security risks.
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.
Too Many Alerts: A National Security Threat? Read More →
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.
What is Network Traffic Analysis? A Beginner’s Guide Read More →
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.
Whitepaper: Unsupervised AI – AI for Complex Network Security Read More →
In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).
Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough Read More →
Packetsled Query Language (PQL) addresses the need of analysts to ask questions from large amounts of data without being forced to learn a complicated query language. It is a simple, intuitive expression language that lets users focus on finding what they need quickly.
Improvements to MixMode’s PQL: Packetsled Query Language Read More →
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 by 90% or more.
How MixMode’s AI Builds Your Network’s Baseline Read More →