This June at RVAsec 2017 I continued the discussion of metrics that reflect the effort spent on vuln discovery via crowdsourced models. It analyzes data from real-world bounty programs and pen tests in order to measure how time and money might both be invested wisely in finding vulns. Here are the slides for my presentation.
We shouldn’t chase an eternal BugOps strategy where an app’s security relies solely on fixing vulns found in production. We should be using vuln discovery as a feedback mechanism for improving DevOps processes and striving to automate ways to detect or prevent the flaws that manual analysis reveals.
And when we must turn to manual analysis, we should understand the metrics that help determine when it’s efficient, effective, and contributing to better appsec. This way we can being to model successful approaches within constrained budgets.
