The Skopos_API returns the likelihood of a CVE being exploited in the next 12 months. The output is a range of 0 – 100$% (low to high). The estimation is on historical attacks, context parameters and input scraped from public, deep and dark web. As input we require a CVE with optional context variables to improve prediction.
The API data can be consumer in different ways depending on volume and client requirements around data leakage.
We continuously gather attack data and update our models using different machine learning techniques.