Palo Alto Networks (israel Analytics) Ltd.

Palo Alto Networks, Inc.

Niv Sela

Jonathan Allon

Yinnon Meshi

Asaf Dahan

Rony Brailovsky

Gal Itzhak

A method, including receiving, from multiple sources, respective sets of incidents, and respective suspiciousness labels for the incidents. A set of rules are applied so as to assign training labels to respective incidents in a subset of the incidents in the received sets. For each given incident in the subset, the respective training label is compared to the respective suspiciousness label so as to compute a respective quality score for each given source. Any sources having respective label quality scores meeting a predefined criterion are identified, and a model for computing predicted labels is fit to the incidents received from the identified sources and the respective suspiciousness labels of the incidents. The model is applied to an additional incident received from one of the sources to compute a predicted label for the additional incident, and a notification of the additional incident is prioritized in response to the predicted label.

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Tel Aviv, Israel

Niv Sela