Interset Software, Inc.

Wesley Lawrence

Stephan F Jou

Shaun Pilkington

Michael John Cyze

Michael Iles

Mario Daigle

Josh Christopher Tyler Mahonin

Josh Mahonin

A system and method is described for providing custom predictive models for detecting electronic security threats within an enterprise computer network. The custom models may be defined in a declarative language. The custom models, along with native models, may be combined together to provide custom machine learning (ML) use cases.

System and method for custom security predictive methods

Sensitive data may be anonymized for use in user interfaces by applying a cryptographic hash function to the data. The hashed value may be broken into hash tokens and the hash tokens converted to human readable tokens using a 1:1 conversion function. The human readable tokens can then be concatenated together to provide a human readable identifier of the sensitive data.

Anonymization of sensitive data for use in user interfaces

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Ottawa, Canada

Wesley Lawrence