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CG

CyberQ Group

The startup develops AI-driven cybersecurity technologies that enhance existing security analytics tools through custom honeypots and intrusion detection systems. By providing early threat warnings and reducing false-positive alert fatigue, the company enables ITOT networks to operate more efficiently and securely.

Lowell, United StatesFounded 2017425K+ followers
Updated 18 months ago

Funding

$1.3M 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.

ME
Funding rounds are not available yet.

Founders

Product

Problem

IT/OT networks face increasing cyber threats, leading to alert fatigue from false positives and delayed detection of actual intrusions. Existing security analytics tools often lack the sophistication to differentiate between benign anomalies and malicious activity, leaving networks vulnerable.

Solution

CyberQ develops AI-driven cybersecurity technologies that enhance existing security analytics tools by deploying custom honeypots and intrusion detection systems. These technologies provide early warnings of potential threats and significantly reduce false-positive alerts, enabling IT/OT networks to operate more efficiently and securely. By accurately identifying and prioritizing genuine threats, CyberQ allows security teams to focus on critical issues and respond proactively to potential breaches. The platform integrates seamlessly with existing security infrastructure, providing an additional layer of intelligent threat detection and analysis.

Target Audience

The primary target audience includes IT and OT security teams responsible for protecting critical infrastructure, manufacturing facilities, and other industrial environments.

Features

  • AI-powered honeypots that mimic real IT/OT assets to attract and analyze attacker behavior
  • Intrusion detection systems that leverage machine learning to identify anomalous network activity indicative of a breach
  • Adaptive threat models that continuously learn from new attack patterns and refine detection accuracy
  • Automated alert prioritization to reduce false positives and focus security teams on critical threats
  • Seamless integration with existing SIEM, SOAR, and other security analytics platforms
This profile is AI-generated and may contain inaccuracies.