Improving efficacy of AI/ML model to predict exploitability score for vulnerabilities
In an earlier blog, I talked about how machine learning can help predict exploitability score for a vulnerability. In this blog, I will elaborate on
In an earlier blog, I talked about how machine learning can help predict exploitability score for a vulnerability. In this blog, I will elaborate on
In InfoSec stress is a given, especially given that the InfoSec team needs to be right every time while bad actors need to be right
Every piece of code is a potential source of vulnerabilities. This could be operating systems, containers, databases, web servers and the list just goes on.
Data Science and commercially available AI/ML implementations now make it possible to predict whether a vulnerability can be weaponized into malware. This could be a
In an earlier blog article last month, we talked about the top used open source projects from Census II report and security vulnerabilities in these
It is estimated that Free and Open Source Software (FOSS) constitutes nearly 80-90% of any given piece of modern software. All sectors (public/private/tech/non-tech) have heavy