Publicly traded companies are legally required to disclose material changes in beneficial ownership. However, sophisticated threat actors now use the SEC EDGAR database as a reconnaissance tool. By scraping seventeen specific data points—including the Owner, Equity Swap, Transaction Code, and Signature Name—attackers can craft hyper-personalized "whaling" lures. For example, if an executive disposes of exactly 5,016 shares at $236.71, an attacker can send a flawlessly timed email impersonating a tax attorney or legal counsel regarding that specific transaction. Because the details are grounded in verified public record, the target's psychological defenses are bypassed entirely.The ThreatNG xSBOM (External Software Bill of Materials) provides the critical "outside-in" view. It operates completely externally to map your public-facing components, including your observable tech stack, third-party vendors, unmanaged SaaS connections, public cloud presence, and sensitive code exposures. If a traditional SBOM locks the front door of your code, the xSBOM patrols the entire perimeter of your digital footprint.

What is "Regulatory Weaponization," and why is my current security stack missing it? Regulatory weaponization is the process by which adversaries exploit mandatory transparency requirements (such as SEC 8-K, 10-K, and Form 4 filings) to identify high-value "whales" and their financial triggers. Traditional tools like EDR and Secure Email Gateways (SEGs) are designed to detect malicious payloads or anomalous traffic; they cannot detect the contextual legitimacy of an email that references real-world financial actions. ThreatNG fills this gap by monitoring the external regulatory attack surface and correlating it with dark web chatter to provide Contextual Certainty before a lure is even sent.

Under the SEC’s new cybersecurity disclosure rules (Item 1.05 of Form 8-K), public companies must report material incidents within a strict four-day window. This creates a "feedback loop" for attackers, who now monitor these disclosures to see if their campaigns are succeeding. Furthermore, recent enforcement actions have signaled that regulators are willing to hold individual CISOs personally liable for "negligent" or "misleading" disclosures. ThreatNG provides the proactive intelligence needed to manage these risks, moving you from a reactive posture to a state of strategic control.

Security analysts are often "drowning in noise" and "burnt out" by tools that provide flat lists of thousands of unverified assets—a problem we call "buying homework". ThreatNG’s proprietary DarChain (Data and Risk Chaining) engine replaces the "haystack" with "the answer". It iteratively correlates technical findings (such as a leaked credential) with social and regulatory exposures (such as an SEC ownership change) to build a structured threat model. This provides Legal-Grade Attribution, proving an asset belongs to your organization before you spend a single minute investigating it.

Most organizations harbor a deep resentment toward "black box" security rating agencies that assign arbitrary scores based on misattributed data. ThreatNG acts as your "Credit Repair Lawyer" for your external security posture. By providing the irrefutable evidence required to prove that certain vulnerabilities do not belong to your perimeter, we give you the ammunition to force these agencies to correct your score. A more accurate score translates directly into lower cyber insurance premiums and improved stakeholder trust.

Yes. Our Sentiment and Financials Investigation Module monitors "conversational risk," including negative news sentiment and mentions of workforce reductions (WARN notices). Layoffs often create a "revenge-type" behavior where disgruntled ex-employees or opportunistic outsiders attempt to "punish" an organization during a window of perceived instability. By linking this negative sentiment to executive exposures and dark web mentions, ThreatNG provides a holistic view of risks that traditional technical scanners completely overlook.

ThreatNG is an entirely agentless, frictionless, and "silent" engine. It acts as a specialized "MRI for your external skin," monitoring the surface, deep, and dark web without requiring any configuration changes to your internal infrastructure. The goal is to provide a "clear signal" without the emotional weight of managing yet another dashboard. You don't have to manage the tool; you simply receive the outcomes.