Network Security Blogs

The latest stories on Cybersecurity, AI, and everything in between from MixMode

What is Network Traffic Analysis? A Beginner’s Guide

By Christian Wiens | October 15, 2019

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.

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MixMode Whitepaper

Whitepaper: Unsupervised AI – AI for Complex Network Security

By Christian Wiens | October 10, 2019

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.

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Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough

By Russell Gray | September 18, 2019

In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).

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

By Christian Wiens | August 7, 2019

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 …

What is Network Detection and Response (NDR)? A beginner’s Guide Read More →

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The Tech Stack Needed to Start an MSSP Practice: Firewall, SIEM, EDR and NDR

By Ryan Merrill | August 1, 2019

Why Managed Service Providers should consider focusing on cybersecurity and how to build the tech stack for your new MSSP practice.

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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.