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Founded Year



Series B | Alive

Total Raised


Last Raised

$45M | 6 mos ago

About MixMode

MixMode fuses immutable network truth, with the knowledge to provide continuous monitoring, automated detection, and response capabilities. PacketSled enables compliance and governance organizations to deeply understand areas that need attention, in real-time and historically.

MixMode Headquarters Location

1117 State Street

Santa Barbara, California, 93101,

United States


ESPs containing MixMode

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Healthcare / Cybersecurity

Solutions that prevent unauthorized access or misuse of network infrastructure include protections such as firewalls, network segmentation, VPNs, network monitoring, and software-defined networking.

MixMode named as Challenger among 6 other companies, including Vectra Networks, Cato Networks, and Infoblox.

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MixMode's Products & Differentiation

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  • MixMode

    MixMode's Anomaly Detection platform provides deep network visibility and predictive threat detection capabilities, enabling businesses' security teams to perform real-time and retrospective threat detection and visualization efficiently. Used by breach response teams worldwide, security analysts and SOC teams can integrate MixMode into their playbooks and SIEMs or utilize MixMode on a standalone basis to transform investigation time, cost, and expertise required to respond to persistent threats, malware, insider attacks, and nation-state espionage efforts.


    Traditional security platforms attempt to identify malicious behavior by writing or using rules to train vendor-supplied data models. The issue is the large variance in the volume and frequency of t… 

Research containing MixMode

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CB Insights Intelligence Analysts have mentioned MixMode in 1 CB Insights research brief, most recently on Mar 26, 2020.

Expert Collections containing MixMode

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

MixMode is included in 1 Expert Collection, including Cybersecurity.



5,100 items

MixMode Patents

MixMode has filed 2 patents.

patents chart

Application Date

Grant Date


Related Topics



Network flow, Computer network security, Network management, Network theory, Wireless networking


Application Date


Grant Date


Related Topics

Network flow, Computer network security, Network management, Network theory, Wireless networking



Latest MixMode News

Getting Ahead of the Adversary with Third-Wave AI

Sep 14, 2022

Getting Ahead of the Adversary with Third-Wave AI Community Chats Webinars Library Getting Ahead of the Adversary with Third-Wave AI In a world where bad actors are capable of building sophisticated AI capable of sidestepping traditional cybersecurity platforms, it has become critically important to onboard tools that work in real-time, are deadly accurate, and can predict an incident before it happens. Yesterday’s solutions are no match for today’s threats. MixMode believes the answer lies in unsupervised AI that can virtually leapfrog over the abilities of adversaries. What is unsupervised AI and why is it superior to supervised AI? Respected AI researcher Yann LeCunn recently stated that “the next revolution in AI will not be supervised,” which almost all current cybersecurity providers utilize as the backbone of their artificial intelligence. LeCunn states that unsupervised learning, which in contrast to supervised learning does not require human labeling, is “the future of AI.”  What does LeCunn mean by unsupervised AI? In simple terms, unsupervised AI uses algorithms to identify patterns among data that have not been classified or labeled by humans. This is in direct contrast to legacy cybersecurity approaches, which have relied on rules created around labels — with these approaches, data that has not been labeled goes largely unnoticed. Today’s MixMode platform was 20 years in the making, under the watchful eye of MixMode’s Chief Scientist Dr. Igor Mezic, who adapted it for projects with DARPA, DoD and others. The company has been awarded three patents related to leveraging “third-wave AI” for network security, with several more pending. Third-wave, as defined by DARPA, is AT that has contextual and explanatory models, giving the technology “human-like reasoning capabilities.” Third-wave AI is never dependent on rules-based systems like SIEM in the cybersecurity world. MixMode’s third-wave, unsupervised approach makes an enormous day-to-day difference over legacy approaches when it comes to two common pain points faced by modern SOCs: Managing huge numbers of false positive alerts Zero-day and novel threats Each of these issues can wreak havoc on the effectiveness of SOC teams. False positives take up analyst time that could be better spent on shoring up system vulnerabilities and other security-related tasks. And zero-day attacks, according to a Ponemon Institute study, cost the global community around $2.5 trillion annually and now make up the bulk of successful attacks on organization endpoints. Rules-based, second-wave approaches fall short. Legacy systems that rely on rules-based, second-wave regression or Bayesian-based, machine-learning are not up to the challenge of mitigating either of these two pain points due to inherent limitations that make it virtually impossible for these systems to keep pace with the massive amount of data flowing across modern networks. In order to detect novel anomalies at a large scale, the number of rules would be infinite. These legacy approaches are dangerously exploitable, for several key reasons: Inherent biases and blindspots created by human input Statistical limitations  An inability to contextually understand usage at different points An inability to adapt to new devices as they are added to networks  MixMode is foundationally better equipped to confront novel threats. Because MixMode’s AI is unsupervised and capable of automatically learning an environment with no training data or rules, bias and blindspots are eliminated. The platform is also fully equipped to manage networks even as organizations scale. In fact, the system can analyze 108 wire connections in real-time for network packet captures. And in cloud environments, MixMode can ingest billions of records per day, like Flow Logs and CloudTrail data. Equally important is the MixMode platform’s ability to analyze data from all streams: Network traffic Any time-stamped cybersecurity data As the platform’s processing layer compares real-time data with past behavior encoded in the evolving forecast, it sources anomalies based on discrepancies outside expected behavior. Risk levels and predictions are provided to the user, along with all the underlying context data, available with a single click. In the end, MixMode users benefit from rapid response time that is, on average, three times shorter than the attack time of the world’s most capable hackers ( currently estimated at 18 minutes, 49 seconds). Learn more about how MixMode accelerates the AI capabilities of arge security programs and leapfrogs the abilities of bad actors, and set up a demo today. Other MixMode Articles You Might Like

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MixMode Rank

  • When was MixMode founded?

    MixMode was founded in 2012.

  • Where is MixMode's headquarters?

    MixMode's headquarters is located at 1117 State Street, Santa Barbara.

  • What is MixMode's latest funding round?

    MixMode's latest funding round is Series B.

  • How much did MixMode raise?

    MixMode raised a total of $70.93M.

  • Who are the investors of MixMode?

    Investors of MixMode include Entrada Ventures, PSG, Blu Venture Investors, Keshif Ventures and JHS Ventures.

  • Who are MixMode's competitors?

    Competitors of MixMode include Cyolo, Perimeter 81, Lacework, Cato Networks, Corelight, iboss, GuardiCore, IronNet Cybersecurity, Illumio, Exabeam and 19 more.

  • What products does MixMode offer?

    MixMode's products include MixMode.

  • Who are MixMode's customers?

    Customers of MixMode include City of Phoenix.

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