As AI introduces new attack surfaces and accelerates software delivery, teams need threat modeling that can secure AI-enabled systems, use AI safely, and scale across the enterprise with repeatable, governed outcomes and a single view of risk.
Request a demoWhile 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, including MCP.
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‚Ñ¢, the recognized framework for adversarial ML, so you can model AI-specific threats alongside your applications, devices, and cloud environments.
With support for MAESTRO, ThreatModeler helps enterprises align threat modeling for AI-enabled systems with emerging industry standards, providing a consistent foundation as security and governance requirements continue to evolve.
See AI threat modeling in action →AI isn't just something to defend — it's built into ThreatModeler through our AI assistant, which accelerates every step of the modeling process. And with our BYOAI approach, you can easily connect to your own governed AI.
By combining automation with contextual intelligence, ThreatModeler reduces manual effort, closes blind spots, and ensures decisions are based on clear, actionable insights.
Experience AI Assistant in action ‚ÜíAI 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 IDE, 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.
And with MCP, you can automatically generate models and security requirements while teams — or agents — are writing code.
From applications and devices to cloud infrastructure and AI workloads, ThreatModeler scales to enterprise complexity and keeps coverage current through continuous risk awareness.
See ThreatModeler in your pipeline ‚ÜíThreatModeler has broken through the limits of automated threat modeling, delivering five integrated capabilities that redefine how enterprise security keeps pace with AI and cloud innovation.
Unify threat modeling across applications, cloud, infrastructure, and devices with one consistent intelligence layer.
Translate raw threat data into clear, actionable recommendations that strengthen designs and inform priorities.
Transform artifacts — including IaC, diagrams, and cloud data — into accurate, living models in minutes.
Maintain always-on visibility into residual and emerging risks as systems evolve.
Understand how risks connect across applications, environments, and clouds for enterprise-wide resilience.
These capabilities help organizations align speed and security without compromise — for the AI era and beyond.
See how ThreatModeler helps product and engineering teams ship faster, security architects analyze and mitigate risk faster, and CISOs gain a complete view of risk across the enterprise.