Product

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

Hindsight

Signature / Rules / Pattern Engine

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

Insight

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

Foresight

Supervised Machine Learning

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

99.1%

Proven Effectiveness

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

Proven Results

without BluVector with BluVector
5 FTE
20 Hours per incident
1 FTE
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)


80%
INCREASE
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:

  • Artificial Intelligence Will Revolutionize Cybersecurity

    Security vendors are inundating CISOs with products purporting to use artificial intelligence to dramatically improve the accuracy and speed of both threat detection and response. However, much of this messaging is confusing, even misleading. How do you know fact from fiction from enthusiastic marketing? S&R pros should read this Forrester report to understand what is really possible with AI today to take cybersecurity efforts to the next level.

  • Dealing with Ransomware: Simple Lessons You Must Learn From WannaCry

    The healthcare industry, like many others, needs to re-examine its threat awareness, network vulnerabilities and malware preparedness. To help, we’re giving you free access to a piece by Gartner called “Simple Lessons You Must Learn From WannaCry.”

    WannaCry is just one example in the continuing evolution of malware threats that recently devastated healthcare organizations, causing many IT teams to make a difficult choice, “Do we pay the ransom?

  • memory-based-malware-ema

    BluVector Targets Growing Memory-Based Malware Threat with Real-Time Detection

    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.