Threat Modeling Using AI
AI-accelerated threat modeling — faster coverage, human-verified accuracy, deeper insight.
What we cover
- AI-assisted attack-surface enumeration and asset discovery
- Automated STRIDE analysis across every component at scale
- AI-generated abuse cases for agents, APIs, and complex flows
- Threat models that evolve with your architecture
- Human verification of every AI-surfaced finding
- Integration with our published AI security research
How we test
Our AI tooling maps the attack surface: components, data flows, and trust boundaries — in hours, not days.
Automated STRIDE per element, attack tree generation for crown jewels, and abuse case identification — comprehensive coverage that manual review alone cannot match.
Every AI-surfaced threat is reviewed, contextualized, and prioritized by a researcher who understands your environment. AI proposes; humans validate.
The threat model is delivered as a living document — updated as your architecture changes, with AI accelerating each refresh.
What you get
- Complete threat model generated in days, not weeks
- AI-surfaced threats human-verified for accuracy
- Attack trees and abuse cases for your specific architecture
- A repeatable AI+human process your team can run
The engagement at a glance
A short conversation about your environment. You receive a written scope, timeline, and fixed quote — no obligation.
Testing begins only with your written permission and agreed rules of engagement. Always.
A calendar agreed before we start, with an agreed communication plan while testing runs.
A verification pass over everything you fix — included in the price, not an add-on.
See the full engagement process → and how pricing is scoped in our public pricing guide.
Related research from Hmmnm
Common questions
How is this different from manual threat modeling?
Speed and coverage. AI enumerates and analyzes in hours what takes days manually — then a researcher verifies every finding. You get both the breadth of AI and the judgment of experience.
Do you use AI for the analysis itself?
Yes — our in-house AI tooling handles enumeration, STRIDE pattern-matching, and abuse case generation. The researcher then reviews, contextualizes, and prioritizes. AI proposes, humans validate.
Is the output a real threat model or just AI text?
A real threat model with diagrams, attack trees, and prioritized findings. AI accelerates the process; it does not replace the structured deliverable.
Can this be combined with manual threat modeling?
They complement each other. Many clients start with AI-accelerated modeling for fast coverage, then add deep manual analysis on the highest-risk components.
Want this assessed for your environment?
A short scoping conversation is enough to get a fixed quote. No obligation — a researcher replies.
Start the conversation →