Mobb’s fixes are developed by security researchers following best practices, with AI handling precise, time-consuming tasks to deliver trustworthy, scalable fixes. Our AI model is equipped with proprietary data, enabling it to engage in a context-aware conversation with the engine.
Rather than blindly applying LLM-suggested fixes, we first analyze the code. If additional context is needed, we request the LLM to validate and expand on the required details, ensuring the proposed solution is viable before implementation. This approach combines LLM capabilities with security expertise, resulting in highly reliable fixes.