AI Threat Modeling
& Machine Learning
To truly be secure by design, ML and AI systems need to be threat modeled too.
Artificial Intelligence and Machine Learning. Now available Threat Modeled.
It is a privilege to be a software user in today's age, with advanced Machine Learning (ML) and Artificial Intelligence (AI) at our disposal. Ways of working can be made smarter, organizations and teams can be more effective - but only if they are using it correctly - and securing it appropriately.
Turn AI Agents Into Governed Security Workflows
MCP-enabled threat modeling brings AI agents into a governed, architecture-aware security process — so teams can move faster without sacrificing consistency, traceability, or control.
Move beyond probabilistic AI outputs
Connect AI agents to a governed, architecture-aware threat modeling framework that delivers consistent, reviewable, and repeatable security outcomes.
Accelerate secure-by-design workflows
Use AI agents to speed up modeling, threat analysis, control recommendations, and documentation without disrupting developer workflows.
AI grounded in real system intent
Enable AI-assisted threat modeling based on actual architecture, trust boundaries, and cloud context — not generic prompts or static checklists.
Keep pace with evolving systems
Continuously reevaluate threats, controls, and architectural changes as applications, cloud environments, and AI systems evolve.
Security: AI/ML snippet
from Stephen - CEO
"How do we implement security effectively?" At IriusRisk, we're committed to addressing this challenge head-on.
That's why we've introduced our groundbreaking AI Library as part of the IriusRisk system, available for free in our Community Edition.This innovative tool empowers you to construct comprehensive threat models using AI concepts, providing invaluable insights into the risks your system faces.