ThreatNG uses a patented, iterative, and recursive attribute discovery methodology. By analyzing a primary seed, such as a domain name, the platform's Context Filter queries extensive technical, legal, and financial resources. The data extracted from these initial resources is then autonomously utilized to identify additional, hidden attributes, driving a self-expanding discovery loop that uncovers shadow IT and orphaned assets purely from an external, attacker-centric perspective.

ThreatNG reduces SOC burnout by automatically correlating isolated technical vulnerabilities with dark web intelligence to prove actual danger. Instead of overwhelming your team with unverified alerts, the Context Engine™ delivers a prioritized blueprint of real attack paths, eliminating the hidden tax of manual investigation.

Unlike legacy rating agencies that use delayed, "black box" scoring, ThreatNG provides continuous, transparent, and objective risk assessments. By delivering Legal-Grade Attribution, organizations gain the irrefutable evidence required to challenge inaccurate third-party scores and proactively improve their cyber resilience.

ThreatNG replaces static, self-reported vendor questionnaires and delayed "black box" algorithms with continuous, objective assessments. The platform evaluates supply chain exposure by scanning a vendor's cloud environments, technology stack, and dark web presence in real-time. By delivering Legal-Grade Attribution, organizations can accurately quantify third-party risk at scale and challenge inaccurate scores assigned by legacy rating agencies.

Yes, ThreatNG consolidates External Attack Surface Management (EASM), Digital Risk Protection (DRP), and Security Ratings into one unified platform. This consolidation eliminates the complexity, integration headaches, and financial burden of managing disjointed vendor dashboards, giving you a single source of truth for external risk.

Yes, by providing superior contextual relevance. While traditional threat intelligence feeds deliver global, macroeconomic threat data that often amounts to generic noise, ThreatNG provides personalized intelligence. Features such as the Reconnaissance Hub and the DarCache repository integrate curated threat data directly with an organization's specific vulnerabilities, ensuring security teams only review intelligence that matches their verified external assets.  

ThreatNG is completely frictionless and requires zero internal agents, credentials, or API connectors to operate. It performs unauthenticated, outside-in discovery to map your external attack surface exactly as an adversary sees it, delivering immediate value without adding administrative overhead to your IT team.

ThreatNG translates technical findings into clear, business-centric metrics by mapping exposures directly to regulatory frameworks and MITRE ATT&CK techniques. This empowers CISOs with the objective data and contextual certainty needed to effectively communicate cyber risk, justify security budgets, and demonstrate operational resilience to the board.

The Context Engine™ is a proprietary solution that achieves Irrefutable Attribution through multi-source data fusion. It iteratively correlates external technical security findings with decisive legal, financial, and operational context. This eliminates the guesswork and false positives that plague traditional EASM tools, ending the "Crisis of Context" and removing the hidden tax on the SOC by providing a precise, prioritized operational mandate for remediation.