Case Study: a global financial information provider achieves faster AI-assisted security remediation with Xebia and GitHub Advanced Security

Global Financial Information and Analytics Provider achieves 100% remediation with Xebia

Xebia worked with a global financial information and analytics provider that was struggling with increasing security debt. The client faced a high volume of vulnerability alerts, a significant number of false positives, and slow manual remediation processes that were hampering developer productivity and creating alert fatigue.

Xebia implemented a solution using GitHub Advanced Security and Copilot Autofix to create an AI-assisted remediation workflow. This approach achieved remediation rates of up to 100% in planned campaigns, resolved vulnerabilities much faster, and drastically reduced false positives. Xebia's involvement was crucial in enabling the teams, which led to improved developer experience and the successful adoption of AI-powered security practices across the organization.