How It Works

How BluVector Works

The First Line in Network Defense

Unlike today’s security solutions that rely on known signatures, sandbox or evidence of anomalous behavior post-breach, BluVector accurately finds and prioritizes all threats at the point of delivery, enabling organizations to defend against cyber threats early in the kill chain.

1

FIND

BluVector’s Next Generation Network Intrusion Detection System (NG-NIDS), powered by patented machine learning and speculative execution technologies, detects a wide range of threats including fileless malware, zero-day malware, ransomware, web attacks, brute force attacks and policy violations.

  • 99%+ accuracy out-of-the-box
  • Self-evolves to create a moving defense
  • 20 minutes to operation
  • IPv4 and IPv6 compatible (IoT support)
  • One device for SMTP, HTTP & file analysis

2

CONFIRM

BluVector’s Intelligent Decision Support System delivers analysts the actionable insight and workflow automation needed to confirm threats early in the kill chain.

  • Unparalleled network visibility
  • Targeted Logger focuses analyst attention on alerts that matter
  • Up to 80% SOC analyst efficiency improvement
  • Offers immediate access to BluVector experts

3

CONTAIN

A rich connectors framework makes it possible for BluVector to receive and correlate data from a variety of threat intelligence sources, send events to SIEM solutions like Splunk and QRadar, or integrate with network security devices like Cisco firewalls and NAC, as well as Endpoint Detection and Response (EDR) solutions like Carbon Black to enable blocking.

  • Integrates and orchestrates security infrastructure
  • Makes the most of existing security investments

See it in action. Schedule a demo.

How BluVector Scans for Malicious Threats

Learn more about cyber attack detection:

  • 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.

  • How to Combat Advanced Cyberthreats with BluVector’s Machine Learning

    The cybersecurity landscape is changing and traditional tools are no longer enough. Learn how BluVector's supervised machine learning can help.

  • 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?