AI

Generative Unsupervised Learning vs. Discriminative Clustering Technology: Which Prevents Zero-Day Attacks?

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.

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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 to understand in order to serve their clientele effectively.

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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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Artificial Intelligence Gaining Popularity Overseas: This Week In AI

AI is Picking Up Speed Overseas An online study found that over a quarter of respondents in Europe, the Middle East, and Asia would prefer their cybersecurity to be managed by AI.  The study interviewed more than 10,000 people in EMEAi and was conducted by Palo Alto Networks and YouGov alongside Dr Jessica Barker, an expert in the human nature of

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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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