Zafran is an exposure assessment and remediation platform that provides continuous vulnerability discovery and risk-based prioritization for security teams. The platform uses the patented Zafran Detector to maintain a runtime-aware Software Bill of Materials (SBOM) across hybrid cloud environments without deploying additional agents. The platform aggregates vulnerability data from third-party sources into a unified view and analyzes risk context including runtime status, internet exposure, active exploitation in the wild, and available security defenses. This analysis helps security teams identify which vulnerabilities pose the greatest actual threat rather than relying solely on CVSS severity scores. Zafran integrates with existing security tools to identify mitigation opportunities through configuration changes, enabling risk reduction without waiting for patch cycles. The platform analyzes security defense configurations and maps them to vulnerability signals to provide policy-level recommendations for targeted risk mitigation. The remediation capabilities use generative AI to de-duplicate overlapping vulnerability signals and create optimized remediation plans. The platform consolidates multiple CVEs into single remediation tickets with step-by-step plans and routes them to appropriate owners to reduce ticket noise and improve mean time to remediation (MTTR). The Zafran Detector supports endpoints, servers, virtual machines, and running containers, providing continuous runtime-first visibility that reveals findings traditional scanners may overlook.