From architecture diagramming to executive risk reporting — structured threat intelligence, end to end.
Import system diagrams or describe your architecture conversationally. The platform auto-generates data flow diagrams and trust boundaries.
Structured, AI-assisted threat modeling using the MAESTRO framework to identify attack surfaces, map trust boundaries, and prioritize risks across agentic AI systems.
Systematically enumerate Spoofing, Tampering, Repudiation, Information Disclosure, DoS, and Elevation of Privilege across every component.
Every identified threat is automatically mapped to MITRE ATT&CK techniques and sub-techniques, with real-world adversary group associations.
AI-generated, developer-ready remediation steps with code snippets, configuration examples, and implementation timelines per finding.
One-click board-level reports with risk heat maps, attack path summaries, and compliance posture — ready to share with leadership.
Threat modeling is only as good as the model underneath it. Describe your system in plain language — or paste an existing spec — and VamiThreat generates an editable Mermaid data-flow diagram, infers trust zones, and uses that structure to drive every downstream threat.
Trust boundaries are inferred automatically — the dashed perimeters mark where data crosses a privilege level. IT components map to one matrix; OT hardware (orange) maps to another. More on that below.
For each node in your data-flow diagram, VamiThreat walks the full STRIDE taxonomy — the six categories Microsoft's framework defines — and asks the question every category implies. No component is skipped, no class is forgotten. Each maps to the security property it violates.
Pretending to be someone — or something — you are not. Forged tokens, stolen credentials, impersonated services.
Unauthorized modification of data in transit, at rest, or in memory — including code, config and firmware.
Performing an action and then denying it — usually because logging is missing, mutable, or unsigned.
Exposing data to anyone not authorized to see it — through misconfig, weak crypto, or over-broad APIs.
Making a system or resource unavailable to legitimate users by exhausting it or knocking it offline.
Gaining capabilities you were never granted — the step that turns a foothold into full compromise.
STRIDE is applied to standard IT and application components. For agentic AI systems, VamiThreat switches to the MAESTRO framework — purpose-built for the AI stack.
Classic frameworks weren't built for autonomous agents, tool-calling, or retrieval pipelines. MAESTRO decomposes an AI system into seven layers and enumerates the threats unique to each — from the foundation model up to the multi-agent ecosystem.
VamiThreat models each layer independently, then traces how a weakness in one cascades into the next. Security & Compliance is treated as a cross-cutting layer — it spans all the others.
Multi-agent interactions, marketplaces and agent-to-agent trust. Threats: rogue agents, collusion, trust exploitation between delegated agents.
Guardrails, authorization and governance spanning every layer. Threats: guardrail bypass, policy evasion, jailbreaks that defeat safety controls.
Logging, monitoring and evals. Threats: log tampering, blind spots in tracing, evaluation gaming that hides unsafe behavior.
Hosting, serving APIs and compute. Threats: resource exhaustion, container escape, supply-chain compromise of the serving stack.
Orchestration, planning and tool-calling. Threats: tool-execution hijacking, function-call abuse, plan manipulation, excessive agency.
Training data, embeddings and RAG stores. Threats: data poisoning, RAG context exfiltration, embedding inversion.
The LLM / ML core. Threats: model theft, backdoors, training-time poisoning, prompt injection and jailbreaks at the model boundary.
Most tools map everything to Enterprise ATT&CK. Real systems aren't that tidy. A single product can have a mobile app, an ML model, and an industrial door controller — and each belongs to a different MITRE matrix. VamiThreat classifies every component and routes its threats to the right one.
The IT estate — apps, identities, APIs, databases, cloud. Purdue level 4+. Where token theft, injection and privilege escalation live.
Operational technology — controllers, sensors, physical actuators. Purdue levels 0–3. Where firmware modification and wireless compromise live.
The AI/ML attack surface — models, training data, inference. Where prompt injection, adversarial data and model exfiltration live.
Why it matters: real incidents cross matrices. TRITON, Industroyer and Colonial Pipeline all began in IT and crossed into OT. A model that only knows Enterprise ATT&CK is blind to half the kill chain. VamiThreat's hybrid router keeps each threat in its true matrix — and shows the path between them.
Attacker modifies door-controller firmware to always unlock or disable logging — via physical access or supply-chain compromise of the firmware image.
Every assessment ships with a calibrated confidence score. The platform validates each matrix tag against the component it came from, auto-routes ATLAS techniques out of the Enterprise list, and rewards correct matrix usage — so you know how much to trust the mapping.
Upload architecture diagrams, describe components conversationally, or upload documentation. The platform builds an interactive DFD automatically.
VamiThreat's AI runs STRIDE and MAESTRO across all trust boundaries, enriched with MITRE ATT&CK patterns and your industry's known adversary groups.
Each threat is scored with CVSS v4 in context — considering your deployment environment, data sensitivity, and regulatory obligations.
Developer-ready playbooks are pushed to your issue tracker. Progress is tracked in real-time and reflected in your compliance posture dashboard.
| Threat | Severity |
|---|---|
| Prompt Injection via tool execution hijacking | Critical |
| Sensitive data leakage via RAG context exposure | Critical |
| Excessive autonomous actions without guardrails | High |
| SQL Injection via unparameterized queries | Critical |
| Broken access control (IDOR) | High |
| Security misconfiguration (overly permissive CORS) | Medium |
Model risks in autonomous agents, tool execution, and decision-making flows using MAESTRO.
Secure chatbots, copilots, and RAG pipelines against data leakage and context manipulation.
Identify auth flaws, logic abuse, and trust boundary violations in distributed systems.
Classic STRIDE-based modeling for frontend-backend architectures and user flows.
Analyze IAM, storage exposure, and service misconfigurations across cloud providers.
Generate actionable findings and remediation aligned with OWASP and real dev workflows.
Book a 30-minute session with VamiThreat's threat modeling team. We'll assess your architecture and deliver a preliminary risk report — no strings attached.