MIxmode Blog

MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.

Featured Content

How MixMode’s AI Builds Your Network’s Baseline

Here we describe the type of information that Mixmode’s AI system “looks” at for decision-making, and emphasize how it is human-like in behavior but with a substantially enhanced computational capacity.

Improvements to MixMode’s PQL: Packetsled Query Language

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.

Anomaly Detection with Unsupervised AI in MixMode

Here we will discuss some of the opportunities and challenges that can arise with anomaly detection as well as MixMode’s unique approach to the solution using Unsupervised AI.

ALL BLOGS

Improvements to MixMode’s PQL: Packetsled Query Language

By Troy Molsberry | September 12, 2019

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.

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False Positives and Negatives: The Plague of Cybersecurity Software

By Christian Wiens | September 11, 2019

Whether your network analysts are spending too much time on false positives or neglecting to recognize false negatives, when actual cyber threats go unnoticed, fear not. Here are 4 ways to combat false positives and negatives in your network security program.

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Weekly AI in Cybersecurity News

A third of experts predict cybersecurity won’t need human decision-makers within a decade: This Week in AI

By Ana Mezic | September 6, 2019

Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.

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How MixMode’s AI Builds Your Network’s Baseline

By Dr. Igor Mezic | September 5, 2019

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.

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Turning the Unsupervised Tables on the Turing Test

By Ana Mezic | September 4, 2019

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.

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Weekly AI in Cybersecurity News

69% Of IT Executives Say They Cannot Respond To Cybersecurity Threats Without AI: This Week in AI

By Ana Mezic | August 30, 2019

Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.

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Featured MixMode Client Success Story: HighCastle Cybersecurity

By Russell Gray | August 27, 2019

HighCastle used MixMode to provide insights to its Security Operations Center (SOC) analysts so they could better understand clients’ cyber risks, minimize time spent chasing false positives and spend the majority of their time responding to actionable information.

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Weekly AI in Cybersecurity News

Self-Driving Cars at Risk for Cybersecurity Breaches: This week in AI

By Ana Mezic | August 23, 2019

Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.

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6 Best Practices for Network Security in 2019

By Ryan Merrill | August 22, 2019

Top cybersecurity best practices for modern organizations’ network security, data protection, and bottom line safeguarding.

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AI in Cybersecurity

5 Ways AI is Making Cybersecurity Technology Better

By Christian Wiens | August 20, 2019

From Network Detection and Response (NDR) to potentially helping to displace passwords as the user authentication standard, there are many reasons why AI is helping advance modern cybersecurity.

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About MixMode

MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. MixMode’s monitoring platform, PacketSled, better understands network behavior as it adapts to baseline changes and enables both misuse detection and anomaly detection, as well as predictive maintenance. Used by enterprises and MSSPs for real-time network analysis, threat hunting and incident response, the platform leverages continuous stream monitoring and retrospection to provide network forensics and security analytics. Security teams can integrate PacketSled into their orchestration engine, SIEM, or use PacketSled independently to dramatically reduce false positive alerts and the resources required to respond to persistent threats, malware, insider attacks and nation state espionage efforts.

The company has been named an innovator in leading publications and by security analysts, including SC Magazine, earning a finalist award in 2018 and 2019 for "Best Computer Forensic Solution.” Based in Santa Barbara, with offices in San Diego, the company is backed by Keshif Ventures and Blu Venture Investors. For case studies, continuous product updates and industry news, please visit us at www.mixmode.ai.