How It Learning Works

Cybersecurity Product

How BluVector Works

Network Security Monitoring & Analytics

BluVector applies machine learning network security so security teams can detect and respond to advanced cyber security attacks at digital speed.


Monitor Network

Passively analyze network traffic for evidence of compromise and attempts at compromise across all ports and protocols. Plug in, assign an IP Address and the platform is monitoring in less than an hour.

Ransomware Detection
  • Supports 1G/10G platforms
  • No complex set up or configuration
  • Real-time data collection via network or virtual tap


Analyze Data for Threats

Our patented supervised machine learning technology delivers high-fidelity detection in real-time, delivering immediate time-to-value. For example, if a PDF file contains suspicious JavaScript, or an executable file contains suspicious machine code BluVector would flag it as malicious at the network gateway in milliseconds.

Primary Analysis:
Supervised Machine Learning

Secondary Analyzers:
ClamAV, Yara, Huri, PEScanner, Extractor

Detecting Malicious Threats
  • Powered by a machine learning detection engine
  • Pre-trained to detect right out of the box
  • Delivers 99.1% detection efficacy
  • Assess content in real-time as benign or malicious
  • Quantitatively measure current and future model performance
  • More than 30 file specific classifiers


Build Threat Investigation File

For suspicious events, a threat profile is created. This information helps you understand all the relevant information about this event in one single pane of glass. You will see all the analytics engine results that hit, target logs from 15 minutes pre-and-post event, and any post-secondary analysis results. Work smarter with the threat profile showing you only relevant information in one place.

Cyber Threat Investigation
  • Shows all relevant context for potential infection
  • Reaction speed reduction


Automate Response

Integrations with SIEMS like Splunk and QRadar, Endpoint providers like Carbon Black and Cuckoo Sandbox are just a few examples of how our customers trigger automated response within their current security ecosystem.

Detecting Malicious Threats
  • Integrations with SIEM, Threat Intelligence,
    Endpoint Detection and Response,
    Next-Generation Firewalls,
    Sandboxes and more.

See it in action. Schedule a demo.

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