AI network monitoring tools

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 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.

Turning the Unsupervised Tables on the Turing Test

Unsupervised artificial intelligence, also known as context-aware or third-wave AI, is notoriously difficult to explain because there lacks an appropriate test to understand just how powerful the intelligence is. The widely known Turing Test for AI testing is no longer the right framework for modern-day AI testing.

What is Network Detection and Response (NDR)? A bEginner’s Guide

Recently, network detection and response, or NDR, has been established as a key tool for companies seeking to improve their threat response. It’s a relatively new network security strategy which developed in response to perceived shortcomings in existing network security systems.  We wanted to help explain what modern network detection and response is, how it …

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Silicon Valley Needs to Step up Their Security: This Week in AI

Silicon Valley Has Let Its Cybersecurity Guard Down According to an article by Brian O’Keefe for Fortune Magazine, Silicon Valley isn’t paying enough attention when it comes to threats posed by state-sponsored hackers. At least, that was the conclusion a group of cybersecurity experts came to in a discussion at the Fortune Brainstorm Tech conference in Aspen, Colo., on …

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AI-Enabled Cybersecurity Is Necessary for Defense: Capgemini Report

850 senior executives from Information Security, Cybersecurity, and IT Operations in seven industries across ten countries were recently surveyed by consulting and technology services firm, Capgemini, in their “Reinventing Cybersecurity with Artificial Intelligence” report. The goal being to understand today’s benefits, complexities, and levels of implementation of AI in cybersecurity across IT (information technology), OT (operation …

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SC Magazine: Beefing Up Your Next Generation Security Tool Set

Originally published on 5/20/19 on scmagazine.com, this article by Dr. Peter Stephenson is the first in a four-part series to help enterprise and security professionals discover the tools needed to deploy a next-generation enterprise security stack. As it features MixMode as the true AI system needed for your deception network, we wanted to share the article here on our …

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Intro to Wire Data: Why Should I Care When I Already Have Log Files?

Most security professionals are well-versed in understanding log files and their importance. Most organizations with a security program operate a SIEM (Security Incident and Event Management) so they can track events around their network. They may use Splunk, FireEye, SolarWinds, QRadar, LogRhythm or many others for a SIEM solution. A SIEM is a very important way to keep track of log …

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How AI is Solving the False Positives Problem in Network Security

How AI is Solving the False Positives Problem in Network Security By Ana Mezic, Marketing Coordinator at MixMode The term “False Positives” is trending in the cybersecurity industry right now. Rightfully so. Managing the impossible amount of alerts IT teams get from their cybersecurity software is an issue that demands a solution as hackers and gatekeepers play tug-of-war …

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5 Reasons Why Context-aware Artificial Intelligence (Caai) Is Needed in Cybersecurity

5 reasons why Context-Aware Artificial Intelligence (CAAI) is needed in Cybersecurity CAAI delivers understanding of the network baseline and reducing false positives By Dr. Igor Mezic, CTO and Chief Scientist  Artificial Intelligence (AI) has surfaced as the technology of the day, in the same way internet, personal computers, airplanes and cars have in earlier eras. And, just like these others …

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