Predicting Vulnerabilities In Compiled Code – Roi Cohen & Shani Dodge – PSW #664
The growth in software vulnerability exploitation creates a need for better prediction capabilities. Over time, there have been shifts in the ways of discovering vulnerabilities in binary code. Research and development of new tools enables security pros to adopt innovative techniques to scale the process.
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Guests
![](https://image-optimizer.cyberriskalliance.com/unsafe/1920x0/https://files.scmagazine.com/wp-content/uploads/2022/05/RoiCohenNEW-0-1.jpg)
Roi has over 13 years of experience as a pentester, IT admin, and CISO. In his current Role as Vicarius VP Sales, he helps companies to better product their infrastructure against software vulnerabilities.
![](https://image-optimizer.cyberriskalliance.com/unsafe/1920x0/https://files.scmagazine.com/wp-content/uploads/2022/05/ShaniDodgeNEW-0-1.jpeg)
Shani is Vicarius’s machine learning expert. She’s widely experienced with binary analysis, data science, and low-level development both in the academic and practical areas.