MIxmode Blog

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

Featured Content

SOAR - The Acknowledgement that all of your cybersecurity platforms have failed

Is having 5 disparate cybersecurity platforms truly helping make your enterprise more secure? In this whitepaper we explain why it's not and why we believe the adoption of SOAR is just an admission that all of your other cybersecurity platforms aren't doing their job.

Featured Use Case: Why a Large Government Entity Replaced Their SIEM with MixMode

Despite a three-year SIEM deployment and a two-year UBA deployment, government personnel needed an alternative to better detect and manage threats in real-time. They turned to MixMode.

MixMode Guide: The Failed Promises of SIEM

In this whitepaper we'll discuss the ways in which SIEM has failed to deliver on promises made to the cybersecurity industry and why cyber teams must instead turn to a next-gen platform powered by unsupervised AI.


Why Traditional Cybersecurity Tools Cannot Defend Against Zero-Day and No Signature Attacks

By Christian Wiens | April 15, 2021

In our newest whitepaper, “Why Traditional Cybersecurity Tools Cannot Defend Against Zero-Day and No Signature Attacks,” we dive into how traditional cybersecurity tools work, why this fundamentally limits them from being able to detect zero-day or previously unknown attacks, why the industry standard for breach detection is around six to eight months and how modern, contextually-aware AI overcomes the limitations of traditional cybersecurity solutions.

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Incremental Stacking of Correlative Analysis Platforms Will Ultimately Prove Ineffective and Costly

By Geoffrey Coulehan, Head of Sales | April 8, 2021

On the surface, an “incremental stacking” approach to correlative analysis platforms like SIEM, XDR and UEBA is logical. Organizations can overcome some of the inherent limitations present in their security solutions by adding a network traffic analysis (NTA), for example. Industry analysts have been touting this approach for some time now as necessary for full coverage enterprise security.

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A Modern SOC Should Not Be Entirely Dependent On Human Operators and Their Personal Experience

By Geoffrey Coulehan, Head of Sales | April 6, 2021

A modern SOC should not be entirely dependent on human operators and their personal experience. The issue has been a foundational problem with not only the methodologies used by SOCs for the past 15 to 20 years, but it should be questioned whether the problem is actually compounded by the technology itself.

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Maximize ROI with Greater Efficacy Using Unsupervised AI

By Christian Wiens | March 18, 2021

Within the first 24 hours after deployment, MixMode had enabled the government entity to regain control over the security environment and network data infrastructure. No longer limited to log data analysis, they were able to identify and address real-time threats as well as network and operational configuration challenges.

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How Self-Supervised AI Tackles Ambiguity in Network Security

By Geoffrey Coulehan, Head of Sales | March 16, 2021

Cybersecurity vendors promise the moon when it comes to AI. As the recent TechRepublic article, “Why cybersecurity tools fail when it comes to ambiguity,” makes clear, often, these promises fail short in real world network environments.

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Performing Critical Cyber Diligence for Mergers and Acquisitions Using MixMode

By Christian Wiens | March 11, 2021

According to a recent M&A trends survey conducted by Deloitte, 51 percent of 1,000 Executives responsible for Mergers and Acquisitions (M&A) at U.S. companies and private-equity investor firms listed cybersecurity threats as their top concern in executing deals virtually.

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Igor Mezic, MixMode CTO and Chief Scientist, Earns J.D. Crawford Prize

By Christian Wiens | March 3, 2021

MixMode CTO and Chief Scientist, Igor Mezić, has received the prestigious J.D. Crawford Prize from the Society for Industrial and Applied Mathematics (SIAM). The prize is awarded every two years to one individual for a significant accomplishment in the area of nonlinear science. Dr. Mezic received the award for his mathematical theory that makes it easier to understand and speed up an array of previously unsolvable computations in a wide range of applications, including fluid dynamics, energy-efficient design, network security and operations, and complex systems dynamics.

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The Hidden Costs and Challenges of Log Data Storage Using a SIEM

By Christian Wiens | February 24, 2021

Ultimately, MixMode found, the log-based SIEM approach resulted in five times the amount of data that needed to be stored, a cost that was passed along to the government entity.

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The Fourth Industrial Revolution – AI, Quantum, and IoT Impacts on Cybersecurity

By Geoffrey Coulehan, Head of Sales | February 17, 2021

The next cybersecurity challenge lies with the advances in quantum computing that are set to revolutionize tech while simultaneously equipping threat actors with a new arsenal of cyberweapons.

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How a Government Entity Switched to MixMode and Decreased Data Storage Costs by 50%

By Christian Wiens | February 11, 2021

Data is the beating heart of every modern organization, but it’s only valuable when it’s accessible, understandable, and most importantly, protected.

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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.