The case study on Multi-Agent AI‑based Autonomous Security Analysis highlights the system’s ability to automate vulnerability discovery by combining static code mapping, LLM‑based semantic reasoning, supply‑chain checks, and sandbox validation.The Case Study (research report) describes how the system was tested against internal applications, the vulnerabilities it identified, how findings were validated.