ThreatModeler vs. IriusRisk: Threat Modeling Patent Dispute Settled in Delaware
In a closely watched cybersecurity IP dispute, ThreatModeler Software, Inc. v. IriusRisk, Inc. concluded with a stipulated dismissal with prejudice after 344 days of litigation in the Delaware District Court. Filed on January 30, 2025, and closed on January 9, 2026, the case centered on US Patent No. 11,314,872 B2 — a software patent covering threat modeling technology — and alleged infringement by IriusRisk’s commercial threat modeling platform.
The settlement, entered under Federal Rule of Civil Procedure 41(a)(1)(A)(ii), resolved the dispute before trial, with each party bearing its own costs and attorney fees. While no damages were publicly disclosed, the outcome carries significant implications for the rapidly growing threat modeling software market and the broader cybersecurity patent litigation landscape.
For patent attorneys, IP professionals, and R&D teams operating in security software, this case offers a critical lens into assertion strategies, defensive positioning, and freedom-to-operate considerations in an increasingly competitive IP environment.
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📋 Fallzusammenfassung
| Fallbezeichnung | ThreatModeler Software, Inc. v. IriusRisk, Inc. |
| Fallnummer | 1:25-cv-00129 (D. Del.) |
| Gericht | US-Bezirksgericht für den Bezirk Delaware |
| Dauer | Jan 30, 2025 – Jan 9, 2026 344 Days |
| Ergebnis | Beigelegt – Abweisung mit Rechtskraft |
| Streitige Patente | |
| Beschuldigte Produkte | IriusRisk’s Threat Modeling Platform (IaC & StartLeft Functionality) |
Fallübersicht
Die Parteien
⚖️ Kläger
U.S.-based cybersecurity company specializing in automated threat modeling solutions for enterprise and government clients.
🛡️ Beklagter
Operates a threat modeling platform used across financial services, healthcare, and technology sectors, offering cloud-based and on-premises deployments.
Das streitige Patent
The asserted patent, US11314872B2 (Application No. US17/479815), covers technology in the threat modeling and cybersecurity software domain. In plain terms, the patent relates to automated systems and methods for identifying, analyzing, and modeling security threats — a foundational capability in modern DevSecOps workflows.
- • US11314872B2 — Automated systems and methods for identifying, analyzing, and modeling security threats.
Developing a threat modeling solution?
Check if your platform’s features might infringe this or related patents before launch.
Das Urteil und die rechtliche Analyse
Ergebnis
The case was resolved through a stipulated voluntary dismissal with prejudice pursuant to FRCP 41(a)(1)(A)(ii). Both parties jointly agreed to dismiss all claims, with each side bearing its own attorneys’ fees and costs. No injunctive relief, damages award, or ongoing royalty structure was publicly disclosed as part of the court record.
Wichtige rechtliche Fragen
The case was initiated as a patent infringement action, with ThreatModeler asserting that IriusRisk’s IaC and StartLeft functionalities infringed claims of US11314872B2. The pre-trial settlement prevents the public record from revealing claim construction rulings, validity determinations, or infringement findings. However, several strategic dynamics are noteworthy:
- IaC and StartLeft as accused features represent core automation capabilities in IriusRisk’s platform.
- DLA Piper’s involvement for the defense suggests IriusRisk treated this as a high-stakes matter.
- The absence of a fee-shifting order is consistent with arm’s-length settlement dynamics.
Because the case settled before claim construction or substantive rulings, US11314872B2 remains untested in adversarial proceedings. This is an important signal: the patent’s claims have neither been validated nor invalidated by judicial scrutiny, leaving their scope and enforceability as live questions for future proceedings or licensing negotiations.
Freedom-to-Operate-Analyse (FTO)
This case highlights critical IP risks in threat modeling software. Choose your next step:
📋 Die Auswirkungen dieses Falls verstehen
Informieren Sie sich über die spezifischen Risiken und Auswirkungen dieses Rechtsstreits.
- View related patents in the threat modeling space
- Sehen Sie, welche Unternehmen am aktivsten im Bereich Cybersicherheitspatente sind.
- Verstehen Sie die Muster der Anspruchsauslegung für Softwarepatente
🔍 Das Risiko meines Produkts überprüfen
Führen Sie eine umfassende FTO-Analyse für Ihre eigene Technologie oder Ihr eigenes Produkt durch.
- Geben Sie Ihre Produktbeschreibung oder technischen Merkmale ein.
- KI identifiziert potenziell blockierende Patente
- Erhalten Sie einen umsetzbaren Risikobewertungsbericht
Hochrisikogebiet
Automated Threat Model Generation
1 Streitgegenständliches Patent
Covering core threat modeling tech
Design-Around-Optionen
Available for evolving features
✅ Wichtigste Erkenntnisse
Delaware remains a preferred venue; Chief Judge Noreika brings predictability and IP depth.
Verwandte Rechtsprechung suchen →Mapping patent claims to specific named product features strengthens infringement narratives.
Entdecken Sie Tools zur Kartierung von Schadensfällen →US11314872B2 has no adverse claim construction or validity ruling on record — it remains a viable enforcement asset.
Review patent validity analysis →Häufig gestellte Fragen
The case involved US Patent No. 11,314,872 B2 (Application No. US17/479815), covering threat modeling software technology.
The case was dismissed with prejudice via stipulated settlement under FRCP 41(a)(1)(A)(ii) on January 9, 2026. Each party bore its own costs; no public damages award was entered.
It signals active IP enforcement in the threat modeling market — particularly around IaC automation features — and leaves US11314872B2 judicially untested, preserving its enforceability against future defendants.
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Referenzen
- USPTO Patent Center – US11314872B2
- PACER Case Lookup – 1:25-cv-00129
- U.S. District Court for the District of Delaware – Chief Judge Noreika
- Cornell Legal Information Institute – FRCP 41(a)(1)(A)(ii)
- PatSnap – Lösungen für den Umgang mit geistigem Eigentum für Anwaltskanzleien
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