MIxmode Blog

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

The Top 5 Zero-Day Attacks of the 21st Century

By Christian Wiens | July 29, 2021

Zero-Day attacks in Cybersecurity have become weapons of choice at the hands of bad actors over the past several years. But what does this term mean and how has this tactic evolved to become such a prevalent threat?

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New Video: MixMode Cyber Anomaly Detection Platform

By Christian Wiens | May 19, 2021

We recently released a new video to better explain how MixMode’s next-generation cybersecurity anomaly detection platform combines the functionality of SIEM, NDR, NTA and UEBA for advanced threat detection, zero day attack identification, false positive alert reduction, forensic investigation and more.

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The Top 5 Considerations That Should Guide Your SOC Strategy in 2021 and Beyond

By Christian Wiens | May 11, 2021

It’s evident that while organizations are spending more and more on legacy cybersecurity solutions, these platforms are not holding up their end of the deal and are not able to proactively defend in a modern, non-signature attack threatscape.

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SIEM Cannot Detect (and Ignores) Zero-Day Attacks

By Christian Wiens | April 29, 2021

Organizations are exclusively depending on selective information forwarded to the SIEM. The information that inevitably exists outside the system of record — information relevant for zero-day attacks — is ignored.

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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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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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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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Webinar Recap: The Failed Promises of SIEM

By Christian Wiens | October 15, 2020

MixMode teamed up with Ravenii to host a webinar focused on the history and evolution of SIEM platforms, their ideal role in a SOC today, and how they fall short as a threat detection tool in today’s modern cybersecurity environment.

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3 Reasons Why a Rule-Based Cybersecurity Platform Will Always Fail

By Ana Mezic | September 24, 2020

When it comes to advancements in cybersecurity, rule-based systems are holding the industry back. Relying on humans to constantly input and label rules in order to detect and stay ahead of threats is a bottleneck process that is setting security teams up for failure, especially with tools like SIEM, NDR, and NTA.

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Why The Future of Cybersecurity Needs Both Humans and AI Working Together

By Ana Mezic | July 21, 2020

A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental tasks.

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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.