The Breach and Ransomware Susceptibility Rating provides a clear, quantitative assessment of an organization’s risk of falling victim to a catastrophic data breach or targeted ransomware campaign. Graded on a standard A-F scale, this metric is derived entirely from purely external, unauthenticated discovery. It requires no internal agents, API connectors, or source code access to deploy, ensuring an independent and objective audit of the attack surface exactly as a threat actor sees it.

You translate technical cyber risk into business liability by mapping technical exposures into predictive attack paths. ThreatNG translates technical noise into actionable, executive-level intelligence through the DarChain methodology. Rather than simply reporting that a breached credential exists, DarChain illustrates how these exposures can be exploited. To fully align with executive risk management, ThreatNG maps its findings directly to the Open FAIR framework rather than calculating financial risk metrics directly. This gives the board a structured and defensible view of actual exposure.

The "Hidden Tax on the SOC" is the massive, invisible financial burden organizations incur when highly compensated security engineers manually correlate uncontextualized alerts. This manual correlation costs organizations an estimated $60,000 to $240,000 annually in wasted labor per team. For example, if a Level 2 SOC Analyst costs $120,000 annually and spends 20 hours a week manually mapping intelligence to specific assets, that is $60,000 a year spent on unscalable, static labor. Deploying a continuous, automated rating graded on a standard A-F scale completely eliminates this manual hunting.

An exposed session cookie bypasses Multi-Factor Authentication (MFA) when an adversary combines it with vulnerable infrastructure. If ThreatNG discovers an exposed Private IP and an open port via a Custom Port Scan, the DarChain methodology illustrates the exact mechanics of the threat. It shows how an attacker can take a session cookie harvested from Infostealer Intelligence, combine it with the vulnerable infrastructure, and use it to silently bypass MFA and deploy a ransomware payload.

You dispute inaccurate scores by capturing legal-grade, deterministic evidence of your external footprint. Legacy rating agencies often rely on context-blind algorithms that routinely penalize companies for "ghost assets"—IP addresses or subdomains that actually belong to third-party vendors or were divested years ago. This algorithmic misattribution directly inflates cyber insurance premiums. ThreatNG acts as a "Credit Repair Lawyer" for the enterprise, providing the irrefutable forensic evidence required to force these agencies to correct their scores and protect your budget.

You customize risk scores by adjusting a dynamic variable called the Custom Multiplier. DarcRadar actively shapes the Breach and Ransomware Susceptibility rating through a unified policy management hub. If an organization considers internet-facing infrastructure a zero-tolerance risk, they can elevate their Custom Multiplier. This ensures that failing grades reflect material threats that align with their specific risk tolerance, instantly quantifying a critical breach risk for executive review.

MSSPs can scale their operations efficiently by using DarcPrompt to automate context-gathering. ThreatNG’s platform acts as a "Cognitive Exoskeleton" for L1 analysts. By using the DarcPrompt engine, ThreatNG automatically packages verified external ground truth and regulatory context into structured payloads. This eliminates the need for complex prompt engineering, allowing junior analysts to instantly generate the high-value strategic output of seasoned threat modelers without requiring complex internal integrations.