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ThreatModeler vs.

MICROSOFT TMT

From enumerating threats to Intelligent Threat Modeling

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Microsoft Threat Modeling Tool helped teams get started. Now it’s time to move forward.

Microsoft’s Threat Modeling Tool (TMT) helped organizations standardize STRIDE and adopt design-time security. For its time, it provided a helpful way to visualize potential risks—but as application and infrastructure development has accelerated, TMT has become a bottleneck for enterprise threat modeling programs.

With cloud services becoming a standard part of application landscapes, AI accelerating teams while introducing new threats, and product delivery cycles becoming shorter, threat modeling programs must evolve to keep up.

ThreatModeler vs. Microsoft TMT: Key Differences

The comparison below highlights how ThreatModeler meets the needs of modern, cloud-first development teams compared with Microsoft Threat Modeling Tool. Taken together, these distinctions reveal a clear divide between traditional, manual modeling and an automated, scalable approach.

CategoryThreatModelerMicrosoft TMT
Import & ModelingAutomatically builds and maintains threat models from imported diagrams, cloud architectures, or IaC.Requires users to create and update models manually using STRIDE data flow diagrams.
Threat MappingAI assistant and rules engine automate control mapping and threat prioritization.Manual threat enumeration.
Content LibraryContinuously curated library of components, threats, and security requirements.Static library with limited oversight or version control.
Automation & IntelligenceAI assistant and rules engine automate control mapping, threat prioritization, and mitigations.Manual threat enumeration and static output.
Cloud & IaC CoverageContinuous modeling across AWS, Azure, Google Cloud, and IaC.No native cloud or IaC support.
IntegrationIntegrates with SDLC and DevOps tools for team collaboration.No integration with development or DevOps environments.
Compliance180+ frameworks with automated mapping and audit-ready reports.No compliance or reporting features.
Maintenance & UpdatesRegular platform and content updates aligned with new threats, frameworks, and technologies.No active development or planned feature updates since 2023.

ThreatModeler Brings Modeling into the Age of Intelligence

ThreatModeler builds on the foundations of threat modeling—advancing it through intelligence, automation, and integration. Its AI assistance and attacker-centric approach help teams identify, prioritize, and mitigate threats at enterprise scale. It also integrates into Software Development Lifecycle and CI/CD tools for seamless collaboration.

How it works:

GenAI can only work with what you tell it. It starts every session asking, “What are you working on?”

  • Maps components to curated and updated threats and frameworks with built-in intelligence and mitigation recommendations.
  • Integrates with SDLC tools including Jira, Azure DevOps, Terraform Enterprise, GitHub, and ServiceNow for full collaboration across design, build, and deployment.
  • Accelerates modeling with imports from hand-drawn diagrams, design tools, and cloud sources—including Miro, Draw.io, AWS, Azure, Google Cloud, and Infrastructure as Code (IaC).

How it stays current:

  • Delivers continuous updates aligned with 180+ frameworks and emerging risks.
  • Bring Your Own Methodology approach supports STRIDE, VAST, PASTA, and custom frameworks for flexibility and governance.

Together, these capabilities transform threat modeling from a manual task into a continuous, intelligent process. That’s why enterprises across industries choose ThreatModeler to scale security with confidence.

Why Enterprises Choose ThreatModeler

Intelligent automation


Move beyond enumerating STRIDE threats. 

ThreatModeler’s AI assistant and programmable rules engine automate model creation, apply security logic, and adapt automatically as designs evolve—providing intelligent insights that guide mitigations and keep teams focused on prioritized risks across the SDLC.

Attacker and risk awareness


Visualize how attackers move through connected systems across applications, cloud, and infrastructure.

ThreatModeler continuously evaluates risk, residual exposure, and control effectiveness as designs evolve—giving teams a clear view of what’s most critical.

Compliance confidence


Align security and governance with 180+ global frameworks, including NIST, DORA, and PCI DSS. 

ThreatModeler delivers audit-ready visibility and keeps models current through quarterly content updates and continuous mapping.

Design Securely from the Start

ThreatModeler helps enterprises scale secure-by-design practices across applications, devices, and infrastructure—without slowing development.
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