Threat Modeling in the

AGE of AI

Built for the risks and speed of AI.

AI Has Changed the Security Landscape

While Artificial Intelligence has brought new capabilities and accelerated development, it has also introduced new threats both directly and indirectly.

ThreatModeler helps you stay ahead of AI, keeping it an asset, and not an adversary. With our built-in platform intelligence, you can model threats for AI systems, leverage AI to accelerate threat modeling projects, and integrate seamlessly alongside enterprise AI adoption.

Model More with Built-in AI Threat Framework

As organizations deploy AI across products, processes, and services, they’re encountering entirely new attack surfaces. Generative AI and machine learning pipelines introduce risks such as data poisoning, prompt injection, and model theft—areas that traditional approaches can’t address effectively.

ThreatModeler extends coverage into these emerging domains with MITRE ATLAS™, the recognized framework for adversarial ML, so you can model AI-specific threats alongside your applications, devices, and cloud environments.

With announced plans to support Maestro, enterprises can stay aligned as new industry standards take shape.

Model Faster with AI Assistance and Insights

AI isn’t just something to defend—it’s built into ThreatModeler through our AI assistant, which accelerates every step of the modeling process.

Provides contextual insights that resolve ambiguities and guide teams toward stronger designs.
Helps security teams focus on the areas attackers are most likely to target.
Rapidly builds models from infrastructure-as-code, cloud artifacts, and diagrams through Intelligent Import.
Keeps recommendations and residual risk up to date as designs evolve.

By combining automation with contextual intelligence, ThreatModeler reduces manual effort, closes blind spots, and ensures decisions are based on clear, actionable insights.

Model Seamlessly with SDLC Integration

AI is accelerating product delivery through every stage of the development lifecycle. But without tight integration into the SDLC, security practices can’t keep pace.

ThreatModeler connects with your CI/CD pipelines, DevOps workflows, and reusable templates to deliver continuous threat modeling as systems evolve. Residual risk updates in real time, unmitigated threats surface directly in ALM tools, and security remains in lockstep with development.

From applications and devices to cloud infrastructure and AI workloads, ThreatModeler scales to enterprise complexity—and keeps coverage current through continuous risk awareness.

The ThreatModeler Advantage

ThreatModeler has broken through the limits of automated threat modeling, delivering Intelligent Threat Modeling—the foundation for secure by design in the age of AI. Built on five requirements, it redefines how enterprise threat modeling keeps pace with AI and cloud innovation:

Single Platform Intelligence Layer

Unify threat modeling across applications, cloud, infrastructure, and devices with one consistent intelligence layer.
Guided Security Insights

Translate raw threat data into clear, actionable recommendations that strengthen designs and inform priorities.
Intelligent Automation

Transform artifacts, including IaC, diagrams, and cloud data, into accurate, living models in minutes.
Continuous Risk Awareness

Maintain always-on visibility into residual and emerging risks as systems evolve.
360° Risk Visibility

Understand how risks connect across applications, environments, and clouds for enterprise-wide resilience.