Tired of chasing false positives?

90% Fewer False Positives. Guaranteed.

A typical IT or security team spends an average of 395 hours a week and over $1.3 million a year chasing false positive alerts according to the Ponemon Institute.

MixMode's AI is purpose-built to mitigate risk and reduce the strain on your cybersecurity team by drastically reducing false positives. We have combined this proprietary AI with our PacketSled Security Platform's best-in-class forensic capabilities, so your team will not miss what's important.

Read our free e-book to learn more about the three waves of AI, including context-aware AI.

Read our free AI E-Book
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PacketSled Network Monitoring Platform

Wire data completes the story

We are a channel-first company focused on empowering our partners by delivering:

  • Ongoing, context-aware baseline of your network.

  • Network monitoring, forensics and incident response - including file extraction and full-packet capture.

  • Internal and external threat monitoring.

  • Full multitenancy capability and robust API.

  • More accurate alerts with fewer false positives.

  • Integrated threat intel feeds.

See how it works
Networks evolve, threats evolve. So should your platform.

MixMode's AI is purpose-built for security

Powerful. Fast. Reliable.

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    Identify threats easier

    With full access to wire data, packet capture, deep packet inspection and file extraction, your team will have much greater capability than what’s possible from standard log monitoring.

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    Understand your baseline

    By delivering an ongoing and predictive baseline of your normal network behavior, our AI can accurately assess which alerts should and should not be fired. The AI will learn and define what is normal as your network changes.

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    Integrate Easily

    We deliver an API-driven solution that is easy to integrate with other systems like a SIEM, orchestration engine or ticketing system.

Learn more

Does your security team ignore alerts?

Most enterprise security teams have six or more different security systems generating over 3,400 security alerts a day.* Due to the security noise and lack of resources, it is not surprising that 32% of security professionals admit to ignoring alerts.**

This is why MixMode built a proprietary context-aware AI, also known as third-wave AI. It is a system that first evaluates your network's unique behavior. By looking at a baseline of your network's "normal" behavior, the AI can better assess what should/should not be an alert.

Read our blog from Dr. Igor Mezic, MixMode CTO and Chief Scientist, on "5 Reasons Why Context-Aware AI is Needed in Cybersecurity."

*According to the Ponemon Institute
**According to McAfee

3.5 Million Unfilled Cybersecurity Jobs by 2021*

Because of a shortage of security personnel, organizations are spending more on cybersecurity software. The result is a growing tidal wave of alerts that strains organizations’ abilities to respond.

Using proprietary context-aware artificial intelligence, MixMode delivers network monitoring while reducing false-positive alerts by 90% or more compared to typical rule-based systems.

Our unique context-aware AI can interpret, learn and react to behavioral activities surrounding network data.

*CSO Online, 2017

“MixMode gives us additional visibility into what is happening on our network. Security is a top priority at GHX and MixMode’s solution gives us another tool to strengthen our defenses.”

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