QPoint is a network visibility platform focused on encrypted traffic originating from backend infrastructure. The platform is designed to eliminate security blind spots caused by encrypted communications without requiring architectural changes or impacting performance. Core capabilities include: - Encrypted traffic visibility: Provides real-time inspection and inventory of all network connections, including source, destination, and payload classification, across backend systems. - Sensitive data discovery: Uses machine learning to automatically classify sensitive data types such as personally identifiable information (PII) and secrets found within traffic payloads. - Third-party data risk: Identifies and quantifies what sensitive data is being transmitted to external vendors and third-party services. - AI exposure monitoring: Tracks what data is being sent to external AI APIs, giving security and engineering teams visibility into potential data leakage to AI services. - Compliance automation: Generates evidence of data-in-motion and data residency for audit and compliance purposes, with the intent of simplifying regulatory reporting. The platform is designed for rapid deployment, requiring only a single installation command with no sidecars, proxies, or code changes needed. It targets organizations seeking visibility into encrypted egress traffic from their infrastructure, particularly those with compliance requirements or third-party data-sharing risks. QPoint positions its product as a tool for both security and compliance teams operating in environments where encrypted traffic has historically created observability gaps.