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# Threat Modeling Solutions 2026

Threat modeling solutions help teams reason about how a system can be attacked before, and increasingly after, it ships. They map your architecture, data flows, trust boundaries, and APIs, then surface the attack vectors and design weaknesses that code scanners alone miss because the flaw lives in the design, not a single line. The classic use is a design-time exercise built on frameworks like STRIDE, PASTA, or attack trees, but the solutions in this category now stretch into automated, code-aware, and runtime modeling that keeps the model honest as the system changes. For a security leader, this is where you catch the expensive mistakes early: the authentication gap, the missing trust boundary, the API that quietly exposes more than it should. It is most valuable for AppSec and product security teams who want threat modeling to be a repeatable practice instead of a one-off whiteboard session that goes stale the moment someone merges a PR.

27 commercial products · [What is Threat Modeling?](https://cybersectools.com/glossary/threat-modeling)

## Featured on CybersecTools

Paid placement: Featured vendors pay for a plan and show first. The shortlist positions are earned. [How we label paid slots](https://cybersectools.com/methodology)

- [Strike48 Platform](https://www.strike48.com/platform?utm_source=cybersectools.com&utm_medium=featured) (Featured): Security Operations
- [SecureIntent](https://secureintent.ai/?utm_source=cybersectools.com&utm_medium=featured) (Featured): Data Protection
- [Fortra](https://www.fortra.com/?utm_source=cybersectools.com&utm_medium=featured) (Featured): Data Protection
- [Lunar](https://lunarcyber.com/?utm_source=cybersectools.com&utm_medium=featured) (Featured): Threat Intelligence
- [Hudson Rock](https://www.hudsonrock.com/?utm_source=cybersectools.com&utm_medium=featured) (Featured): Threat Intelligence
- [Daylight Security](https://daylight.ai/?utm_source=cybersectools.com&utm_medium=featured) (Featured): Security Operations

## Compare in Threat Modeling

The most-opened side-by-side pages for Threat Modeling solutions.

- [DevArmor Continuous Threat Modeling vs ThreatCanvas AI](https://cybersectools.com/compare/devarmor-continuous-threat-modeling-vs-threatcanvas-ai)
- [ArgusEye vs DevArmor Continuous Threat Modeling](https://cybersectools.com/compare/arguseye-vs-devarmor-continuous-threat-modeling)
- [ArgusEye vs GrammaTech ConfINE](https://cybersectools.com/compare/arguseye-vs-grammatech-confine)
- [ArgusEye vs TTModeler Pro](https://cybersectools.com/compare/arguseye-vs-ttmodeler-pro)

## The Application Security market

Company data as of 2026-11-04

- 304 companies sell in this market
- $1.3B raised in 53 rounds in the last 12 months
- 14 acquired in the last 12 months
- 40 founded in the last two years

[Explore the Application Security market on Mandos](https://mandos.io/data/companies?utm_source=cybersectools.com&utm_medium=category&utm_campaign=application-security)

## Threat Modeling solutions

All 35 · Free 8 · Commercial 27

1. [ThreatCanvas AI](https://cybersectools.com/tools/threatcanvas-ai) (Threat Modeling): AI-powered threat modeling tool that auto-generates models from text, IaC, or diagrams.
2. [DevArmor Security Guardrails for AI Code Gen](https://cybersectools.com/tools/devarmor-security-guardrails-for-ai-code-gen) (Threat Modeling): Adds org-specific security guardrails to AI code generation tools for compliance.
3. [DevArmor HealthTech GRC](https://cybersectools.com/tools/devarmor-healthtech-grc) (Threat Modeling): Automated threat modeling & HIPAA/FDA compliance platform for HealthTech.
4. [DevArmor Continuous Threat Modeling](https://cybersectools.com/tools/devarmor-continuous-threat-modeling) (Threat Modeling): Automated continuous threat modeling platform that enforces security at design time.
5. [BU Creative Threat Modeling & Risk Scenarios](https://cybersectools.com/tools/bu-creative-threat-modeling-and-risk-scenarios) (Threat Modeling): Consulting service translating business objectives into threat models & risk scenarios.
6. [Atsign AI Architect](https://cybersectools.com/tools/atsign-ai-architect) (Threat Modeling): Visual, spec-driven tool for designing secure-by-design apps on Atsign Platform.
7. [TTModeler Pro](https://cybersectools.com/tools/ttmodeler-pro) (Threat Modeling): Threat modeling & risk assessment tool for embedded systems and IoT.
8. [ArgusEye](https://cybersectools.com/tools/arguseye) (Threat Modeling): AI platform automating threat modeling & compliance for connected device makers.
9. [Curlsek AI Threat Modeling](https://cybersectools.com/tools/curlsek-ai-threat-modeling) (Threat Modeling): AI-driven threat modeling for identifying security risks in design phase
10. [Heeler Runtime Threat Modeling](https://cybersectools.com/tools/heeler-runtime-threat-modeling) (Threat Modeling): AI-powered continuous threat modeling for cloud applications in runtime
11. [Seezo Security Design Reviews and Threat Modeling](https://cybersectools.com/tools/seezo-security-design-reviews) (Threat Modeling): Automated security design review platform for developers
12. [MoreSec STAC](https://cybersectools.com/tools/moresec-stac) (Threat Modeling): AI/RAG-based threat modeling tool for requirements and design stages of SDL
13. [Oplane Continuous Threat Modeling](https://cybersectools.com/tools/oplane-continuous-threat-modeling) (Threat Modeling)
14. [Avocado Reveal](https://cybersectools.com/tools/avocado-reveal) (Threat Modeling): Automated runtime threat modeling tool for DevSecOps pipelines.
15. [ThreatModeler](https://cybersectools.com/tools/threatmodeler) (Threat Modeling): Enterprise threat modeling platform for apps, cloud, and IaC.
16. [PlaxidityX Security AutoDesigner](https://cybersectools.com/tools/plaxidityx-security-autodesigner) (Threat Modeling): AI-automated automotive TARA tool for ISO 21434 & UNR 155 compliance.
17. [IriusRisk Threat Modeling Tool - IaC](https://cybersectools.com/tools/iriusrisk-threat-modeling-tool-iac) (Threat Modeling): Auto-generates threat models from IaC files with risk & control mapping.
18. [IriusRisk Threat Modeling Tool](https://cybersectools.com/tools/iriusrisk-threat-modeling-tool) (Threat Modeling · Free): Threat modeling tool for dev teams to identify security design flaws pre-code.
19. [IriusRisk Threat Modeling](https://cybersectools.com/tools/iriusrisk-threat-modeling) (Threat Modeling): Threat modeling platform for identifying & managing software security risk by design.
20. [IriusRisk AI Threat Modeling & ML](https://cybersectools.com/tools/iriusrisk-ai-threat-modeling-and-ml) (Threat Modeling · Free): Threat modeling library for AI/ML systems with 28 security components.
21. [IriusRisk Threat Modeling Platform](https://cybersectools.com/tools/iriusrisk-threat-modeling-platform) (Threat Modeling): Automated threat modeling platform integrating security into the SDLC.
22. [FYEO Enterprise Threat Model](https://cybersectools.com/tools/fyeo-enterprise-threat-model) (Threat Modeling): Structured threat modeling & remediation service for enterprise security risk.
23. [Cytix Change Analysis Tool](https://cybersectools.com/tools/cytix-change-analysis-tool) (Threat Modeling · Free): AI-powered tool that analyzes dev tickets for security risks.
24. [C2A Security Cybersecurity DevOps Platform](https://cybersectools.com/tools/c2a-security-cybersecurity-devops-platform) (Threat Modeling): Risk-driven cybersecurity DevOps platform for automotive product lifecycle

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27 commercial products · 8 free products under [Free solutions](https://cybersectools.com/free) | Related: [API Security](https://cybersectools.com/categories/api-security) · [Application Security Posture Management](https://cybersectools.com/categories/aspm) · [Dynamic Application Security Testing](https://cybersectools.com/categories/dast) · [Interactive Application Security Testing](https://cybersectools.com/categories/iast) · [Mobile App Security](https://cybersectools.com/categories/mobile-app-security)

## How to choose Threat Modeling solutions

- Decide whether you need manual diagram-driven modeling for deliberate design reviews, or automated modeling that builds and refreshes the model from code, IaC, or live APIs so it does not go stale.
- Check which frameworks it supports (STRIDE, PASTA, LINDDUN, attack trees) and whether you can adapt the methodology to how your teams already work.
- Look at the quality of output: threats should map to specific, actionable mitigations, not generic warnings, so engineers can act without a security expert translating every finding.
- Evaluate SDLC fit: integration with your repos, CI, design solutions, and ticketing determines whether threat modeling becomes routine or another step people skip.
- Consider runtime and API awareness if your systems change fast or expose many APIs, since a model that ignores what is actually deployed drifts quickly out of date.
- Assess how it scales across teams: consistent templates, shared threat libraries, and collaboration features matter once modeling moves beyond a single security reviewer.

## Threat Modeling Solutions FAQ

Common questions about Threat Modeling solutions: how to choose, pricing and comparisons.

### What is a threat modeling solution?

A threat modeling solution helps you systematically identify how an application or system could be attacked by analyzing its architecture, data flows, trust boundaries, and APIs. Instead of scanning code for known bugs, it reasons about design-level weaknesses, missing controls, and attack paths. Many solutions structure this around frameworks like STRIDE or attack trees and generate a prioritized list of threats and recommended mitigations.

### How is threat modeling different from SAST or vulnerability scanning?

SAST and scanners look at what you built and find concrete flaws in code or dependencies. Threat modeling looks at what you designed and finds weaknesses in the architecture itself, like an absent trust boundary, an over-permissive API, or a missing authentication step. A flaw can pass every scan and still be a serious design risk. The two are complementary: threat modeling shapes the design, scanning verifies the implementation.

### How do I choose a threat modeling solution?

Start with how the model gets built and kept current. Manual diagramming solutions suit deliberate, high-stakes design reviews; automated and code-aware solutions derive the model from your repos, IaC, or running APIs so it does not go stale. Then weigh framework support (STRIDE, PASTA, LINDDUN), how threats map to real mitigations, integration with your SDLC and ticketing, and whether output is concrete enough for engineers to act on without a security expert in the room.

### Should I build my own threat modeling process or buy a solution?

Most teams start with free or lightweight options: a STRIDE checklist, a diagramming solution, or an open-source modeler is often enough to make threat modeling a habit. You move to a commercial solution when manual modeling cannot keep pace with how fast your architecture changes, when you need consistency across many teams, or when you want models generated and updated automatically from code, infrastructure, or live traffic rather than maintained by hand.

### Can threat modeling be automated?

Increasingly, yes. Newer solutions in this category derive models from source code, infrastructure-as-code, or runtime API behavior, which keeps the picture aligned with what is actually deployed rather than a diagram drawn months ago. AI-assisted approaches can suggest likely threats and mitigations from your architecture. Automation is strongest at coverage and freshness; human judgment still matters for prioritizing which threats actually warrant action.

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Source: https://cybersectools.com/categories/threat-modeling

For AI agents: every CybersecTools shortlist is listed at https://cybersectools.com/shortlists.md.

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