Threat modeling for the
age of autonomous AI.
Security Modeling, Inc. helps engineering, security, and risk teams find and fix the threats hiding in LLM applications, AI agents, and the systems that connect them — before regulators, auditors, or attackers do.
Purpose-built for AI-era attack surfaces
Traditional threat modeling wasn't built for prompt injection, tool-calling agents, or non-human identities. Ours is.
AI & Agentic Threat Modeling
Deep, structured STRIDE sessions for LLM applications, autonomous agents, and the tool chains and data stores behind them — including deployments built on Claude (Anthropic) and Amazon Bedrock AgentCore.
Framework Mapping
Every finding cross-referenced to OWASP's LLM, Agentic Applications, Agentic Skills, and Non-Human Identities Top 10 lists, plus MITRE ATLAS — so your findings speak your auditor's language.
Coverage & Gap Analysis
Component-by-STRIDE coverage matrices and trust-boundary checklists that make it obvious what's been assessed — and what hasn't been, yet.
Threat Registers & Reports
Board-ready Word reports and living Excel threat registers — inherent and residual risk, control types, mitigation tracking, all in one place.
Regulated-Industry Governance
Threat models framed for banking and financial-services governance — residual risk sign-off, control ownership, and audit-ready documentation.
Ongoing Program Support
Re-assessment as systems change, new agent capabilities ship, or new frameworks land — so your threat model stays a living document, not a one-time deliverable.
A repeatable process, not a one-off exercise
Every engagement follows the same rigorous path — so results are consistent, defensible, and easy to hand to your next audit.
Scope & architecture
Map the system, its components, data flows, and trust boundaries before a single threat is identified.
STRIDE analysis
Walk every component and boundary through Spoofing, Tampering, Repudiation, Info Disclosure, DoS, and Elevation of Privilege.
Framework mapping
Tag each threat to OWASP and MITRE ATLAS IDs, and check coverage against every component × category cell.
Report & track
Deliver a governance-ready report and register, then track mitigations through to residual risk sign-off.
Security modeling for systems that make their own decisions
Security Modeling, Inc. was founded on a simple observation: AI agents, LLM applications, and the non-human identities that connect them create attack surfaces that traditional application security review wasn't designed to catch.
We bring a structured, framework-driven threat modeling discipline to organizations that can't afford to guess — banks, financial-services firms, and other regulated businesses deploying AI into production.
- Deep, component-level STRIDE sessions — not checklist theater
- Findings mapped to the frameworks your regulators already recognize
- Deliverables built for governance sign-off, not just engineering backlogs
"The threats in an agentic system aren't hypothetical — they're a direct function of what the agent is allowed to do, and to whom it's willing to listen. Modeling that precisely is the whole job."
— Security Modeling, Inc.
Know what could go wrong before it does.
Get a structured, framework-mapped threat model for your AI or agentic system — built to hold up under audit.
Start a conversationLet's talk about your AI attack surface
Tell us about your system — LLM app, agent, or agentic pipeline — and we'll follow up to scope an engagement.
Get in touch
Whether you're standing up your first AI governance program or need a deep-dive threat model for a system already in production, we'd like to hear from you.