BluVector Overview

Network Intrusion Detection, Reinvented.

Stop waiting for breaches to happen, stay ahead of the advanced threats with BluVector.

Moving Detection Back to the Edge

BluVector delivers intrusion detection for advanced threats, powered by a self-adapting form of machine-learning. Unlike other network security tools which find bad actors once they have infected a host, BluVector delivers high fidelity threat detection pre-install.

BluVector and Machine Learning


Signature / Rules / Pattern Engine

GOAL: Match an explicit string within a given data set.
USE CASE: Known virus, IOC detection


Unsupervised Machine Learning

GOAL: Find unusual patterns/behaviors within unlabeled data sets by clustering like data and identifying outliers.
USE CASE: Unusual communication between hosts


Supervised Machine Learning

GOAL: Predict the right answer based on exposure to training data.
USE CASE: Zero Day/ Polymorphic Threat Detection


Proven Effectiveness

BluVector outperformed the vendor average by more than 18%, making its detection capability among the highest on the market.

Proven Results

without BluVector with BluVector
20 Hours per incident
4 Hours per incident
~$1740 per incident ~$348 per incident

Detection Rate

Detection of 1 new targeted/variant threat every 2 days (est. 620 advanced threats evade current tools annually)

in Productivity
(5:1 FTE Ratio)

BluVector Awarded SAFETY Act Designation

After a rigorous application and due diligence process the U.S. Department of Homeland Security granted BluVector a DHS SAFETY Act Designation in May 2016. Deploying BluVector as part of an enterprise security ecosystem now includes a level of decreased risk due to this Designation, providing peace of mind relatively few security technologies can provide.

See it in action. Schedule a demo.

Want to learn more? Check these out:

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    In July 2017, advanced threat detection startup BluVector augmented its machine learning-based analytics engine to detect memory-based attacks in real time. This means the BluVector Network Security Monitoring and Analytics platform leverages a new network emulation technique to identify a broader spectrum of attacks coming from both malicious files and embedded file attacks executed in memory.