AI-native security assessment · powered by VamiSec

Find your
attack surface
before they do

VamiThreat is a threat modeling platform that maps your entire system architecture, identifies threat actors, and generates prioritized remediation plans — conversationally, in minutes, not months.

Start Threat Assessment See the platform
MAESTRO STRIDE MITRE ATT&CK ATLAS · ICS OWASP Top 10
THREAT ACTOR API Gateway Auth Service DB CROWN Internal Svc Session Store Spoofing Tampering SQLi ↑9.8 Fixation
Critical
High
Medium
3×
Faster than manual threat modeling
94%
MITRE ATT&CK coverage across assessments
CVSS 4.0
Scoring with contextual threat intelligence
100%
EU-hosted — GDPR & NIS2 aligned
Quote

IT security and compliance without AI is a vulnerability.

Valeri Milke Founder & CEO, VamiSec
Platform Capabilities

Built for real security teams

From architecture diagramming to executive risk reporting — structured threat intelligence, end to end.

Architecture-Aware Modeling

Import system diagrams or describe your architecture conversationally. The platform auto-generates data flow diagrams and trust boundaries.

DFD Trust Zones

MAESTRO Threat Modeling

Structured, AI-assisted threat modeling using the MAESTRO framework to identify attack surfaces, map trust boundaries, and prioritize risks across agentic AI systems.

Risk Mapping AI Systems

STRIDE Threat Enumeration

Systematically enumerate Spoofing, Tampering, Repudiation, Information Disclosure, DoS, and Elevation of Privilege across every component.

STRIDE Auto-enum

MITRE ATT&CK Mapping

Every identified threat is automatically mapped to MITRE ATT&CK techniques and sub-techniques, with real-world adversary group associations.

ATT&CK v15

Remediation Playbooks

AI-generated, developer-ready remediation steps with code snippets, configuration examples, and implementation timelines per finding.

Jira-ready IaC

Executive Risk Reports

One-click board-level reports with risk heat maps, attack path summaries, and compliance posture — ready to share with leadership.

PDF NIS2 ISO 27005
01 — Architecture-aware modeling

Describe it. We diagram it.

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.

GENERATED DFD · TRUST ZONES
/api/generate-diagram · 200 OK
⚠ Internet Zone Mobile App API Gateway Application Zone Auth Service Access API Check ⚙ Hardware Zone · OT RFID Biometric Scanner Door Controller Database Zone User DB Redis Cache Monitoring Zone SIEM System Video Surveillance

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.

MERMAID SOURCE · EDITABLE
flowchart LR
flowchart LR
  mobile_app[Mobile App]
  api_gateway[API Gateway]
  auth_service[Authentication Service]
  access_api[Access Control API]
  user_db[(User Database)]
  redis_cache[(Redis Cache)]
  rfid_reader[RFID Reader]
  biometric_scanner[Biometric Scanner]
  door_controller(Door Controller)
  siem_system[SIEM System]

  subgraph 'Internet Zone'
    mobile_app & api_gateway
  end
  subgraph 'Hardware Zone'
    door_controller & rfid_reader & biometric_scanner
  end

  mobile_app -->|User Request| api_gateway
  rfid_reader -->|Card Data| check_permission
  check_permission -->|Decision| door_controller
  door_controller -->|Log Event| access_log_db
14
components mapped
5
trust zones inferred
<30s
describe → diagram
02 — STRIDE enumeration

Six ways in, checked on every component

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.

S
Spoofing
Violates · Authentication

Pretending to be someone — or something — you are not. Forged tokens, stolen credentials, impersonated services.

e.g. JWT forgery · biometric replay · service impersonation
T
Tampering
Violates · Integrity

Unauthorized modification of data in transit, at rest, or in memory — including code, config and firmware.

e.g. cache poisoning · firmware modification · request tampering
R
Repudiation
Violates · Non-repudiation

Performing an action and then denying it — usually because logging is missing, mutable, or unsigned.

e.g. log deletion · audit-trail gaps · unsigned events
I
Information Disclosure
Violates · Confidentiality

Exposing data to anyone not authorized to see it — through misconfig, weak crypto, or over-broad APIs.

e.g. PII leakage · RAG context exposure · verbose errors
D
Denial of Service
Violates · Availability

Making a system or resource unavailable to legitimate users by exhausting it or knocking it offline.

e.g. gateway flooding · cache saturation · token-cost abuse
E
Elevation of Privilege
Violates · Authorization

Gaining capabilities you were never granted — the step that turns a foothold into full compromise.

e.g. insecure deserialization · IDOR · SQL-injected admin

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.

03 — MAESTRO for agentic AI

Seven layers,
one AI attack surface

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.

Prompt injection Tool abuse Excessive agency
L7
Agent Ecosystem

Multi-agent interactions, marketplaces and agent-to-agent trust. Threats: rogue agents, collusion, trust exploitation between delegated agents.

L6
Security & Compliance CROSS-CUTTING

Guardrails, authorization and governance spanning every layer. Threats: guardrail bypass, policy evasion, jailbreaks that defeat safety controls.

L5
Evaluation & Observability

Logging, monitoring and evals. Threats: log tampering, blind spots in tracing, evaluation gaming that hides unsafe behavior.

L4
Deployment Infrastructure

Hosting, serving APIs and compute. Threats: resource exhaustion, container escape, supply-chain compromise of the serving stack.

L3
Agent Frameworks

Orchestration, planning and tool-calling. Threats: tool-execution hijacking, function-call abuse, plan manipulation, excessive agency.

L2
Data Operations

Training data, embeddings and RAG stores. Threats: data poisoning, RAG context exfiltration, embedding inversion.

L1
Foundation Models

The LLM / ML core. Threats: model theft, backdoors, training-time poisoning, prompt injection and jailbreaks at the model boundary.

04 — Hybrid MITRE mapping

Three matrices. Routed per component.

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.

COMPONENTS
mobile_app IT
redis_cache IT
door_controller OT
rfid_reader OT
ml_scorer AI
classify_component()
OT & AI keyword routing
+ technique-ID inference
Enterprise
T1xxx
T1550.001
T1190
T1499
ICS
T0xxx
T0857
T0860
T0814
ATLAS
AML.T
AML.T0051
AML.T0043
AML.T0024

Enterprise ATT&CK

The IT estate — apps, identities, APIs, databases, cloud. Purdue level 4+. Where token theft, injection and privilege escalation live.

ICS ATT&CK

Operational technology — controllers, sensors, physical actuators. Purdue levels 0–3. Where firmware modification and wireless compromise live.

ATLAS

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.

SAMPLE FINDING · OT COMPONENT
● Critical
Firmware tampering on door controller

Attacker modifies door-controller firmware to always unlock or disable logging — via physical access or supply-chain compromise of the firmware image.

T0857 Modify Firmware
CVSS v4 9.1 CRITICAL
ENRICHMENT CONFIDENCE
High · 0.815

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.

Matrix validation passed
Ground-truth coverage strong
ICS specificity bonus + applied
How it works

From architecture
to action plan

1
Describe your system

Upload architecture diagrams, describe components conversationally, or upload documentation. The platform builds an interactive DFD automatically.

2
Enumerate threats

VamiThreat's AI runs STRIDE and MAESTRO across all trust boundaries, enriched with MITRE ATT&CK patterns and your industry's known adversary groups.

3
Score & prioritize

Each threat is scored with CVSS v4 in context — considering your deployment environment, data sensitivity, and regulatory obligations.

4
Remediate & track

Developer-ready playbooks are pushed to your issue tracker. Progress is tracked in real-time and reflected in your compliance posture dashboard.

LIVE ASSESSMENT · SAMPLE OUTPUT
● Critical
Threat ID
TM-2026-0047
Component
API Gateway → Auth Service
Category (STRIDE)
Spoofing · Elevation of Privilege
MITRE Technique
T1190 · Exploit Public-Facing Application
CVSS v4 Score 9.8 CRITICAL
JWT tokens are signed with a weak HS256 secret exposed in environment variables. An attacker can forge tokens to impersonate any user, including service accounts.
What we find

Cross-domain threat patterns
we model & uncover

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
OWASP COVERAGE · ACROSS DOMAINS
OWASP Top 10 · 2021 OWASP LLM Top 10 OWASP API Top 10 OWASP ASVS OWASP MASVS · Mobile Agentic Security Initiative
Use cases

Built for modern systems
across every architecture

Agentic AI Systems

Model risks in autonomous agents, tool execution, and decision-making flows using MAESTRO.

Prompt injection · Excessive agency · Tool abuse

LLM-powered Applications

Secure chatbots, copilots, and RAG pipelines against data leakage and context manipulation.

RAG leaks · Prompt attacks · Data exposure

APIs & Microservices

Identify auth flaws, logic abuse, and trust boundary violations in distributed systems.

Broken auth · IDOR · Rate limiting

Web Applications

Classic STRIDE-based modeling for frontend-backend architectures and user flows.

Injection · XSS · Misconfigurations

Cloud Architectures

Analyze IAM, storage exposure, and service misconfigurations across cloud providers.

IAM abuse · Public buckets · Secrets leakage

Security & Dev Teams

Generate actionable findings and remediation aligned with OWASP and real dev workflows.

Dev-ready output · Prioritized risks
Jobs
Jobs at VamiSec

We're hiring for VamiThreat.

Your expertise meets our AI platform: you work on real client engagements and feed your experience straight into the evolution of VamiThreat.

IT Security Engineer (m/f/d) – Threat Modeling & Agentic AI Security

You find attack paths before attackers do – across software, cloud, OT and AI architectures, supported by VamiThreat.

  • Full-time
  • Professional–Senior
  • Remote-first · Bonn
  • German C1+

Your responsibilities

  • Run threat modeling workshops for software, cloud, OT and AI architectures (STRIDE, MAESTRO, MITRE ATT&CK and ATLAS)
  • Analyse agentic AI systems: prompt injection, tool and MCP abuse, data exfiltration, autonomy and permission risks
  • Derive prioritised action plans and security requirements, aligned with the OWASP LLM Top 10 and the EU AI Act
  • Contribute to threat libraries and analysis models in VamiThreat
  • Share knowledge in workshops, webinars and articles

Your profile

  • Several years of experience in security architecture, threat modeling or penetration testing
  • In-depth knowledge of established threat modeling methods and current attack techniques against cloud and AI systems
  • Hands-on experience with LLM applications, RAG or agent frameworks (e.g. MCP or LangGraph)
  • Excellent German (at least C1) and good English
  • A plus: experience with IEC 62443, ISO/SAE 21434 or medical device security
  • Threat Modeling
  • STRIDE
  • MAESTRO
  • MITRE ATT&CK
  • MITRE ATLAS
  • OWASP LLM Top 10
  • Agentic AI Security
Apply now

IT Security Engineer & Evangelist (m/f/d) – Threat Modeling & Agentic AI Security

You find attack paths in software, cloud and AI architectures with VamiThreat – and you make the topic visible: in webinars, talks, articles and conversations with prospects. The focus stays on the technical work.

  • Full-time
  • Professional–Senior
  • Remote-first · Bonn
  • German C1+

Your responsibilities

  • Run threat modeling workshops for software, cloud, OT and AI architectures (STRIDE, MAESTRO, MITRE ATT&CK and ATLAS)
  • Analyse agentic AI systems (prompt injection, tool and MCP abuse, data exfiltration) and derive prioritised measures
  • Product demos, proofs of concept and expert advice in first calls – as the technical counterpart alongside sales
  • Create expert content for content marketing and social media: blog posts, white papers, LinkedIn posts and short demo videos
  • Host webinars and give talks at conferences and events, and contribute to outreach campaigns

Your profile

  • Several years of experience in security architecture, threat modeling or penetration testing
  • In-depth knowledge of established threat modeling methods and hands-on experience with LLM applications or agent frameworks
  • You enjoy explaining complex topics clearly – to clients, in webinars and on stage
  • Excellent German (at least C1) and good English – confident presenting in both
  • A plus: your own talks or publications and experience with articles, social media (e.g. LinkedIn) or pre-sales
  • Threat Modeling
  • STRIDE
  • MAESTRO
  • Agentic AI Security
  • Pre-Sales
  • Content Marketing
  • Webinars & Talks
Apply now

All open positions

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Own your risk.

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.

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