Early Access to CI Spark
Leveraging LLMs to Break the Barrier of Dynamic Testing
How to Detect and Autoconfigure Entry Points With CI Spark
The manual effort required to set up dynamic testing methods such as feedback-based fuzzing, presents a major barrier to adoption to many dev teams. CI Spark obliterates this barrier by automating the most labor-intensive parts of AI-powered white-box testing, which is identifying relevant entry points (e.g., an API that handles user data) and developing tests that are tailored to their structure. Sign up for early access to be among the first to try it. In this demo, our co-founder and Chief Scientist Khaled uses CI Spark to automatically generate fuzz tests.