PredicTH (Predict Threats): Predictive proactive & collaborative based platform designed to predict informatics security threats & attacks. Based on Machine Learning algorithms, PredicTH will extract attacks Pattern to pro-actively prevent its clients.

• Forschungsstelle: INNOSUISSE
• Projektnummer: 19171.1 PFES-ES
• Projekttitel Englisch: PredicTH (Predict Threats): Predictive proactive & collaborative based platform designed to predict informatics security threats & attacks. Based on Machine Learning algorithms, PredicTH will extract attacks Pattern to pro-actively prevent its clients.

Kurzbeschreibung (Deutsch)

PredicTH (Predict Threats): Predictive proactive & collaborative based platform designed to predict informatics security threats & attacks. Based on Machine Learning algorithms, PredicTH will extract attacks Pattern to pro-actively prevent its clients.

Kurzbeschreibung (Englisch)

PredicTH (Predict Threats): Predictive proactive & collaborative based platform designed to predict informatics security threats & attacks. Based on Machine Learning algorithms, PredicTH will extract attacks Pattern to pro-actively prevent its clients.

Abstract (Deutsch)

PredicTH detects sophisticated cybersecurity threats using innovative machine learning algorithms within logs collected from network and security devices. The product allows to visualize ongoing as well as carried attacks through a web dashboard. Thus, it can trigger blocking actions on security devices such as Firewalls or Intrusion Prevention Systems. Through its collaborative approach, PredicTH share discovered threats among customers to proactively block attacks.

Abstract (Englisch)