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.