Recorded Future's Vulnerability Intelligence module utilizes real-time data to score vulnerabilities based on exploitability, providing the content you need to prioritize and prevent attacks on critical patches. The platform employs patented machine learning to automatically detect reports of new observables, including vulnerabilities, exploit attempts, proof-of-concept code, exposed company assets, and threats from actors targeting organizations and industries.

The Vulnerability Intelligence platform automatically collects and analyzes billions of pieces of information from various sources, such as public websites, the dark web, and technical resources. This enables cybersecurity teams to receive alerts on newly disclosed vulnerabilities days before they are published on the National Vulnerability Database (NVD), allowing for quick decision-making and prioritization of critical patches.

．Prioritize Critical Vulnerabilities: Gather intelligence from diverse resources to enable teams to prioritize patching based on actual risk, avoiding the wasteful patching of irrelevant vulnerabilities and focusing on fixing those that pose real threats.

．Reduce Unplanned Downtime by 86%: By prioritizing only vulnerabilities likely to be exploited, Recorded Future minimizes expensive off-cycle patches and the associated infrastructure downtime.

．Access Information 11 Days Faster than the NVD: Act immediately when vendors disclose vulnerabilities affecting your infrastructure, without waiting for NVD publication. Recorded Future assigns risk scores to vulnerabilities even without CVSS scores, ensuring timely awareness of newly disclosed vulnerabilities.