MIxmode Blog
MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.
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Let’s take a closer look at the false narrative being propagated in the cybersecurity market and explore some more appropriate alternatives. An example of a legacy cyber tool vendor “feature” being touted as an ideal solution to the problem of automatic remediation is reliant on a standard (though rarely used for reasons we will explore in this article) function known as TCP Reset.
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MixMode’s unsupervised, third-wave AI computes patterns of interaction over many different timescales, contrasting it over the next 5-minute interval with what was seen previously. Should patterns deviate, the platform performs an assessment of the security risk implied in that deviation and presents it to the user.
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Network detection and response, or NDR, has been established as a key tool for companies seeking to improve their threat response. It has become a network security strategy which developed in response to perceived shortcomings in existing network security systems.
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The nation’s largest Financial Services providers are a favorite target for nation-state sponsored and coordinated cyber-attacks. Despite significantly more financial and resource investment in cybersecurity than any other industry, critical infrastructure breaches and novel attacks remain a daily occurrence.
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Mature cyber security teams understand a harsh reality often ignored by legacy cyber tools vendors: correlation must not be confused with causation.
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Cybersecurity tool vendors understand that historically, the determining factors for a successful Security Operations Center (SOC) have been dependent entirely on 2 operational factors rather than the underlying technology.
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Zero-trust is at the heart of the MixMode solution through its use of Self-Learning, Unsupervised AI. The AI is driven by a zero-trust generative model that initially takes no historical knowledge to function and is unbiased from human alteration.
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Geoffrey Coulehan, Head of Sales for MixMode, pens our latest whitepaper on the misleading “one-click remediation” claims that many cybersecurity tool vendors are using in the marketplace.
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When hackers breach a network, focus naturally, and wisely, turns to the first point of intrusion. But a wider view, one that includes an understanding of what happened after the breach can empower your organization to predict — and most important, prevent — the next attack. MixMode is helping organizations across the country do just that, every day.
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Of all the challenges facing the modern SOC, two stand out among the most persistent and difficult to overcome: an overwhelming volume of false positive alerts and an alarming escalation in zero-day and novel threats that are often imperceptible by legacy systems.
Read MoreAbout 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.