Next generation Threat Detection and Response Powered by Self Supervised AI
Create an evolving network behavior baseline and automate threat discovery, investigation, and response with the most powerful self-learning AI in cybersecurity.
The Industry's Most Intelligent Network Detection and Response Platform
"Enterprise cybersecurity teams waste millions of dollars and man hours every year storing, aggregating, and managing data with traditional SIEM platforms. The solution is to instead leverage unsupervised AI-driven analysis and predictive anomaly detection across multiple streams of data in real time, at scale with a platform like MixMode."
Ritu Jyoti, VP of AI Research
Trusted by Enterprise Cybersecurity Teams Everywhere
Despite a three-year SIEM deployment and a two-year UBA deployment, government personnel needed an alternative to better detect and manage threats in real-time. They turned to MixMode.
Deploy & Start Surfacing Threats in Minutes. Get a Complete Network baseline in only 7-days.
No additional resources, infrastructure, or costly data storage necessary
MixMode's Dynamic Network Detection and Response platform continuously monitors your entire environment and utilizes self-supervised AI to process data from multiple streams allowing MixMode to predict attacks and malicious intent before damage is done, drastically reduce the number of security alerts, automate the threat and anomaly identification process, and help your team identify and react in a matter of seconds.
As Featured In
A.I. First Multi-Stream Network Security
More advanced detections. Less noise.
MixMode’s AI-Enabled, Network Traffic Analytics Platform provides operators with full visibility over the network and the tools to perform deep forensic investigations while intelligently monitoring your network's baseline to identify and surface new threats and anomalous activity.
MixMode helps security teams solve the information overload problem by building three baselines of the given network (exfiltration, infiltration, movement and lateral) to surface zero day anomalies, drastically reduce the number of false positive alerts and automate the threat identification process.
MixMode also extends the life of your existing platforms by adding intelligence and predictive capabilities, leading to reduced workloads on existing SOC teams so they can be more proactive, predictive and efficient.
The First Self-Supervised AI in Cybersecurity
Most Artificial Intelligence in cybersecurity requires human input or “supervised learning” to function. This not only makes the AI vulnerable to hackers who can uncover how the AI was trained, but it also means security teams must wait an average of 18 months before they can obtain value from the AI.
MixMode's third-wave AI, which was originally built for projects at DARPA and the DoD, is hyper-intelligent and can learn about your network, unsupervised and without human input, in less than 7 days.
MixMode studies and creates a baseline of your network by monitoring historic traffic and understanding typical network activity. This allows us to identify potential threats like Zero-Day Exploits, eliminate 90% of false positive security alerts, and cut through the noise to deliver actionable alerts which you can respond to in real-time.
Deep integration with your security stack
In order to identify and take action as quickly as possible when an attack is happening, it's extremely important to ensure full integration across your security toolkit.
Using our powerful integrations and robust API, users can seamlessly integrate their security stack with MixMode by offloading data into SIEMs, orchestration engines and ticketing systems.
We integrate with market-leading tools like Splunk, ServiceNow, LogRhythm, Demisto, ConnectWise, Pager Duty and more.
Success Stories
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