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.
PacketSled Network Monitoring Platform
Wire data completes the story
We are a channel-first company focused on empowering our partners by delivering:
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Ongoing, context-aware baseline of your network.
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Network monitoring, forensics and incident response - including file extraction and full-packet capture.
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Internal and external threat monitoring.
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Full multitenancy capability and robust API.
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More accurate alerts with fewer false positives.
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Integrated threat intel feeds.
MixMode's AI is purpose-built for security
Powerful. Fast. Reliable.
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Identify threats easierWith 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 baselineBy 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 easilyWe deliver an API-driven solution that is easy to integrate with other systems like a SIEM, orchestration engine or ticketing system.
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 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.
“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.”