The startup develops cybersecurity software that utilizes a machine learning-based artificial intelligence analysis engine to monitor network traffic and identify threats and anomalies in real-time. This technology enables organizations to safeguard their data against malware attacks while ensuring complete data retention.
Funding
$18.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
KSFounders
Product
Problem
Organizations face challenges in detecting and responding to sophisticated cyber threats, including internal data leakage, malware, phishing, and Trojan attacks, due to limitations in existing security solutions that provide only partial visibility into network activity. Traditional security information and event management (SIEM) systems often lack the capability to store and analyze full network packets in real-time, hindering thorough investigations and timely incident response.
Solution
Quad Miners offers a suite of network detection and response (NDR) solutions designed to provide comprehensive visibility and proactive threat management. Their flagship product, Network Blackbox, captures and analyzes 100% of network traffic in real-time, enabling organizations to detect and respond to a wide range of cyber threats effectively. The solution employs a machine learning-based analysis engine and supports full packet capture and analysis, allowing for detailed forensic investigations and accurate identification of malicious activities. Quad Miners' technology facilitates the detection of anomalies, data loss prevention, and intelligent network intrusion detection, ensuring a more secure and reliable network environment.
Target Audience
The primary target audience includes enterprises, government organizations, and managed security service providers (MSSPs) seeking advanced network security solutions for threat detection, incident response, and data loss prevention.
Features
- Full packet capture and analysis for comprehensive network visibility
- Real-time threat detection and response using machine learning-based analysis
- Network Blackbox: Next-generation NDR solution that detects and responds to various threats in the corporate network
- Cloud Blackbox: Monitors cloud networks and secures cloud environments by detecting and analyzing 100% of the network traffic
- FP NIDS (Full Packet-based NIDS): Threat detection system that stores the entire traffic for user monitoring
- Integration with third-party solutions, APIs, Java Database Connectivity (JDBC), security information and event management (SIEM) tools, and APT Sandbox
- Ability to process large amounts of traffic per second and recognize up to 400 applications
- User screen restoration feature to check user activity without forensic analysis