Enterprise Data Loss Prevention (E-DLP) false positive detection reporting now harnesses the power of artificial intelligence (AI). At its core, this feature employs advanced machine learning techniques, particularly vector similarity search, to intelligently identify and reduce false positives when scanning forwarded traffic. The AI-driven system continuously learns from your feedback, creating a dynamic and adaptive scanning process tailored to your specific codebase and security needs. By using AI, the system can rapidly process your input and implement false positive detections reduction to ensure the Enterprise DLP detection accuracy for yourself Enterprise DLP users. The AI analyzes code snippets with sophisticated similarity metrics, allowing for nuanced decision-making that goes beyond simple pattern matching. This intelligent approach enables the system to make informed decisions on new, unseen code based on learned patterns, providing scalable and evolving protection. The AI component also allows for context-aware analysis, considering factors such as surrounding syntax, project structure, and company-specific coding practices. By utilizing the AI-powered false positive feedback reporting, you can significantly reduce time spent on nonissues, increase trust in scan results, and focus on genuine security threats, all while benefiting from a scanning solution that becomes more attuned to your needs over time.