MistNet is the industry’s first multi-entity threat detection and response platform. 

Many enterprise customers experience many painpoints when it comes to cyber security. The statistics are staggering.

• A typical enterprise receives up to 17,000 security alerts a week, with roughly 96% going uninvestigated.
• To make things worse, 14% of breaches don’t even trigger a security alarm,
• Allowing hackers to lurk on average for 269 days before detection.

With today’s highly distributed, multi-cloud environments a new approach is needed in order to provide full 360-degree visibility into threats and vulnerabilities. Legacy technologies focusing on end-points or networks or perimeters alone light up only small slices of the infrastructure. Without a global view much remains in the dark. Ultimately to arrive at the ground truth behaviors for an enterprise you need to pull raw network telemetry information and raw OS internal information end-to-end.

While this may sound trivial, it has to date remained largely aspirational for a variety of reasons including cost, complexity and compliance reasons. For any reasonably sized enterprise, capturing raw network traffic and OS internal data would result in terabytes of data. And besides the sheer volume of data, there’s the very real problem of getting the data to where it can be processed for anomalies. To date, the thinking has been to try to move the data to where compute power exist, typically over the WAN to a central data center or cloud resource. But with the volume of data we’re talking about, that’s a non-starter from a cost perspective. It’s also in many cases in violation of compliance regulations as security data increasingly cannot be transported across organizational or geographic boundaries for privacy or GDPR reasons.

A new approach is needed for threat-detection and response. . Instead of trying to move all of the raw security data to a centralized set of resources, change the paradigm and bring the compute power to the security data. Harnessing the power of mist computing Mistnet developped its patent-pending TensorMist-AI^TM technology. The TensorMist-AI^TM technology constructs a geo-distributed meshed data pipeline, by combining scale-out data management with distributed processing analytics.

In doing so, it eliminates the backhaul ‘tax’ and thus eliminates the scaling challenges, cost challenges, and compliance issues associated with moving large amounts of security data over the WAN or to the cloud.

TensorMist-AI^TM puts the Mistnet platform in a class by itself—the first to apply mist computing to cyber security, and the first to deliver true multi-entity threat detection and response end-to-end across the enterprise. MistNet is capable of collecting and enriching tremendous amounts of security data ‘on location’ leveraging edge AI techniques powered by Google TensorFlow and Apache SparkM, generating exceptionally accurate threat models, all without having to move any of the data. No other system can do this.

 Two other things will also blow away the industry (and competition). First, the solution is 100% cloud-native and scale-out by design meaning it can scale to your hearts content. And second, we offer all of this at a price that scales with your enterprise, packaged as a subscription service that you can install and use in less than an hour.