Predict and Prevent Cyber Attacks

Mimicking an Attacker’s Reconnaissance With a Different Type of Cybersecurity Rating

How does a hacker see your organization? Where are your vulnerabilities? What makes them select their final targets? Should you be concerned? The only way to protect your organization is to understand how potential attackers think. By mimicking a hacker’s reconnaissance and integrating proprietary data feeds in near-real-time, Cybeta created Threat Beta, a predictive breach algorithm that measures future breach likelihood.

Cybeta’s data science team analyzes such factors as a company’s digital footprint, business relationships, deployed products, and third-party services to predict breaches. Coupled with the current state of operational cyber-attacks, the algorithm allows a company and investors to better forecast breach likelihood down to the IP-level of their organization. 3rd-party validation using thousands of breach cases over the last decade led to the filing of Cybeta’s predictive breach patent. See below for more information on our cybersecurity rating.

Out-think your Predators

Built by experts from various U.S. National Intelligence communities and designed to mimic the best cyber adversaries, our Threat Beta solution, Threat Alpha risk quantification, and consulting experience provides critical insights into your organization’s cyber posture at present, over time, and into the future. It answers the questions:

  1. How do I compare to other companies?
  2. How likely am I to be attacked?
  3. How much will an attack cost?

With proprietary technology and decades of offensive cyber operative experience, our software solution quantifies network risks, identifies vulnerabilities and predicts attack probability related to your network and brand.


  • Actionable insights that enable C-Suites to systematically prioritize their cyber improvements

  • Hundreds of cutting-edge data feeds inform Threat Beta’s robust threat intelligence barometer

  • Near real-time updates of cybersecurity rating information to keep you informed of emerging threats

  • Comparative Analysis / Benchmarking – The relative calculation can be against any subset of data such as industry peers, Fortune 1000, geographic peers or any other relevant metric

  • Intelligent Metric – Like stock beta, Threat Beta is normalized on a scale of 0-2 with 1.0 as the average. Anything above 1.0 is higher risk, which ratings below 1.0 are lower risk.