Identity Security & Non-Human Identity

Hudson Rock

Hudson Rock is a cybersecurity firm addressing the leading cause of modern data breaches - Infostealer-driven Identity Exposure.

EstablishedThreat IntelligenceBrand ProtectionBrand MonitoringInfostealer IntelligenceInfostealer MonitoringCredential ExposureVulnerability DataSupply Chain Risk Report
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Organizations evaluating threat intelligence solutions.

Overview

Hudson Rock is a cybersecurity firm addressing the leading cause of modern data breaches - Infostealer-driven Identity Exposure. By emphasizing radical automation over headcount, we’ve built a business model that delivers exceptional efficiency, achieving one of the highest ARR-per-employee ratios in the industry while maintaining 60% net profit margins. > > Our portfolio includes two flagship products: > > **Cavalier** – A brand protection and threat intelligence platform that alerts security teams to exposed credentials belonging to employees, partners, and users. Available both as a monitoring solution and as an API-based *Cybercrime Intelligence Feed*, Cavalier empowers organizations to proactively detect and respond to identity-related threats. > > **Bayonet** – A first-of-its-kind sales prospecting platform designed specifically for cybersecurity-focused sales professionals, MSPs, MSSPs, and IT vendors. Bayonet helps teams identify and engage high-value leads by leveraging cyber intelligence data for smarter, more targeted outreach.

The problem it solves

Hudson Rock addresses threat intelligence needs.

Core capabilities

  • Threat Intelligence
  • Brand Protection
  • Brand Monitoring
  • Infostealer Intelligence
  • Infostealer Monitoring
  • Credential Exposure
  • Vulnerability Data
  • Supply Chain Risk Report

Ideal customer profile

Confirm fit with a CYBER BUYER advisor.

Use cases

Why CYBER BUYER is featuring this vendor

Hudson Rock is part of the CYBER BUYER vendor portfolio.

Questions to ask during evaluation

  • Which deployment models and integrations are supported?
  • How is pricing structured as we scale?
  • What does a typical implementation timeline look like?

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