Gurucul's behavior based security analytics is powered by robust machine learning models built by data scientists.

Our competitors use signatures, patterns, rules and policies which can only detect known behavior patterns. What about the unknowns?  Our models go beyond detecting known or common patterns so you can detect unknown threats.

Below are the models we revealed at Black Hat. These are actual Machine Learning Models we use to detect and stop insider threats, data exfiltration, privileged access abuse, cyber fraud and more. These are just a few of our library of over 1000 Machine Learning Models.

Please check our blog regularly over the next few months for in depth details on how each of these models work:

 

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"Hands down the most sophisticated example of behavior analytics..."

- SC Magazine


Gurucul is changing the way enterprises protect themselves against insider threats, fraud, account compromise and data exfiltration in both on-premises and cloud environments. The company’s Behavior Based Security Analytics and Intelligence platform uses machine learning and predictive anomaly detection algorithms to reduce the attack surface for accounts, and to eliminate unnecessary access rights and privileges. Identify, predict and prevent breaches with Gurucul Risk Analytics.



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