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Surfacing and categorizing 3 million+ risks for Fortune 500 businesses
We developed a custom ML model that was able to surface, identify and classify 3 million+ risks pertinent to any specific company and industry.
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Identifying Potential Security Access Violations
We developed a semi-supervised neural network to identify anomalous security access card swipes in a large corporation with numerous facilities throughout the world, previously hidden secure access violations.
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Automating document review with 98% accuracy
We used Natural Language Processing (NLP) to automate the internal review of RFPs, RFIs and security questionnaires, reducing time and costs associated with the process.
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