Predicting Exploitability—Forecasts for Vulnerability Management

Posted on in Presentations

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.

Michael Roytman


Chief Data Scientist, Kenna Security

Analytics Intelligence & Response Hackers & Threats

exploit of vulnerability artificial intelligence & machine learning risk management risk & vulnerability assessment big data analytics



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