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.

ALL BLOGS

Why VPC Flow Logs Are Critical for Comprehensive Cybersecurity Approaches

By Russell Gray | October 19, 2021

VPC (virtual private cloud) flow log data contains a wealth of data that can be utilized to gain a clear understanding of a network’s security posture. However, it can be challenging and prohibitively time-consuming for analysts to get a handle on the voluminous number of flow logs.

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Understanding CloudTrail and Why it Matters in Cybersecurity

By Russell Gray | October 13, 2021

CloudTrail is a valuable data source that provides insights into API calls used to access AWS accounts, but the service poses several high-level Cybersecurity challenges.

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Dependence on Log Data | Twenty-first Century Networks Require Twenty-first Century Security Solutions

By Christian Wiens | October 7, 2021

When Cybersecurity teams assume that log-based platforms are the best available network security solutions, they have made a decision to invest in “bad gas.” These products will cost more and deliver less than systems enhanced by context-aware AI.

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MixMode Recognized by CyberSecurity Breakthrough Awards Program for Overall Network Security Solution of the Year

By Christian Wiens | October 6, 2021

MixMode, the leader in AI-driven, real-time anomaly detection for Cybersecurity,  was named the winner of the “Overall Network Security Solution of the Year” award in the 2021 CyberSecurity Breakthrough Awards program conducted by CyberSecurity Breakthrough.

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Dependence on Log Data | The Limitations, Hidden Costs, and Additive Nature of SIEM

By Christian Wiens | September 28, 2021

ou may be surprised to learn that log data is proprietary to each security platform vendor. There is no standard format or even a standard labeling mechanism. Your data only has context within the parameters of your SIEM vendor.

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Dependence on Log Data | An Increasing Vulnerability to Threat Actors

By Christian Wiens | September 24, 2021

How sure are you that log files represent the best source of information to base your entire Cybersecurity program upon? Log data is the cornerstone of every traditional cybersecurity platform including SIEM (Security Information and Event Management), UEBA (User and Entity Behavior Analytics), and xDR (Detection and Response).

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MixMode Joins 5G Open Innovation Lab, Bringing Self-Learning AI to the 5G Ecosystem

By Christian Wiens | September 20, 2021

MixMode, the leader in AI-driven, real-time anomaly detection for Cybersecurity, has formally joined the 5G Open Innovation Lab’s (“5GOILab”) Fall 2021 program. The Lab is supported by its founding and corporate partners which include Amdocs, Dell Technologies, F5, Intel, Microsoft, NASA, T-Mobile and VMware.

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10 Eye-Opening Data Breach Statistics (and How You Can Better Protect Your Network)

By Christian Wiens | September 16, 2021

While we’re seeing more data breaches than in years past, being proactive can make an enormous difference. Head-in-sand is not the optimal position for any modern organization with a network-based infrastructure. Education about the nature of modern data breaches is a great place to start.

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What is Zero-Trust in Cybersecurity?

By Christian Wiens | September 8, 2021

orrester coined the term zero-trust in 2010 to describe the idea that nothing is inherently safe and that everything must be continuously verified. You may have heard the motto, “Trust nothing; verify everything.” This is a great way to think about zero-trust in Cybersecurity. 

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DarkReading: Superhero Loki Lurks Like a Zero-Day Threat

By Matt Shea | September 1, 2021

Just like the SOC analyst, the TVA has to find these threats and remove them as quickly as possible. Let’s say you are tasked with being this TVA agent and are told you need to search all the timelines (an almost infinite number of them) and find all the Loki variants to have them removed.

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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.