Daniel Tan enhanced the panther-labs/panther-analysis repository by enriching CrowdStrike detection alert context to support more effective security analysis and triage. He introduced additional metadata fields, including CompositeId, FileName, FilePath, and UserName, while retaining existing context such as FalconLink. Using Python, Daniel focused on data enrichment techniques that improved the quality and depth of alert information available to analysts. His implementation was carefully scoped to maintain backward compatibility and align with security analytics requirements. The work enables faster and more accurate investigations by providing richer context, demonstrating a thoughtful approach to both technical integration and operational impact.