Closed captioning will be available in English and Japanese for all keynotes and RSAC track sessions.
Please note: All times are in SGT.
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  1. Moscone West

Security is overdue for actionable forecasts. Like predicting the weather, similar models should work for vulnerabilities. With some open source data and a clever machine learning model, Kenna Securities can predict which vulnerabilities attackers are likely to write exploits for. Their model has 90 percent accuracy, one the day a vulnerability is released. The speaker will issue some forecasts live.

Learning Objectives:
1: Learn about predictive models for vulnerability data.
2: How to evaluate a machine learning model in our context—vulns, exploits.
3: How to select the proper machine learning model, how to ask the right question.

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