The only threat quantification engine developed to model, map, quantify and predict attacker capabilities.

Siege Technologies’ threat quantification engine, Eprouvette, is designed to mathematically predict the effects of cyber operations including attack AND defense. Currently, the industry struggles with cyber threat quantification. Existing methods are qualitative, planning and testing is ad-hoc, and there aren’t any analytical models. We developed Eprouvette to change this dramatically.

Eprouvette will help you measure and predict attacker capabilities, identify critical network assets, and protect and identify optimized defensive security configurations. Based on the idea that you can’t measure a defense except how it performs against various attacks, Eprouvette is an automated framework to analyze contemporary software assets to predict performance in a given environment.

Eprouvette’s proprietary threat quantification algorithms provide you with insight into:

  • The ability of an asset to evade detection by a hacker
  • What artifacts an asset leaves behind that might be discovered by a hacker
  • Degradation or destruction of data, services and system availability
  • The speed/time it takes to achieve the desired outcome
  • The likelihood a cyber attack would be attributed to the hacker
  • Probability of success

For more information on how Siege Technologies’ threat quantification engine can help you model, map, quantify and predict attacker capabilities, contact us today.

About Siege Technologies

Cyber security company, Siege Technologies, was founded in 2009 as an advanced research and development firm. Siege focuses on leveraging offensive cyberwar technologies like Eprouvette, and methodologies to develop predictive cyber security solutions for government and other commercial markets.

Eprouvette Free Demo

Learn how you can start predicting cyber threats. Contact us for an online demo.


Cyber Security Compromises

2015 alone saw a reported jump of 48 percent in compromises that were reported.

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