Consulting / Flagship Assessment

World-Model Security Assessment

A security model of the target system, built to find failures in authority, state, and control.

We map how your system actually works: actors, assets, permissions, command paths, data flows, state transitions, trust boundaries, safety constraints, and enforcement points. Then we derive the invariants that must hold and test where they break.

What we mean by world model

This is not a robotics perception model or simulator of the physical world. It is a security world model of the system under assessment, whether that system is an IoT device fleet, humanoid robot, drone platform, medical IoT product, OT environment, AI agent, SaaS platform, or fintech workflow.

Where this applies

The domains differ, but the security question is similar: who can act, what can they affect, through which flow, and under which state?

  • IoT and connected device ecosystems where provisioning, identity, firmware, cloud APIs, and device commands create the security boundary.
  • Humanoid robotics systems where remote commands, autonomy, operator roles, failsafe states, and telemetry flows define the risk.
  • Drone platforms where ground control, mission updates, command authority, telemetry, geofencing, and override behavior define the risk.
  • Medical IoT and safety-sensitive connected products where patient data, device state, update integrity, and operator actions must stay constrained.
  • OT and cyber-physical environments where IT/OT boundaries, control paths, engineering workstations, and safety interlocks matter.
  • AI agents and copilots where model output can trigger tools, retrieve data, call APIs, or act on behalf of a user.
  • Multi-tenant SaaS platforms where roles, tenant context, delegated access, and background jobs can cross boundaries.
  • Fintech systems where authorization, settlement, approval chains, ledger state, and sequence ordering determine impact.

What we model

The model is security-relevant, not decorative. It captures the parts of the target system that determine authority, impact, state, and control.

Actors and authority

Users, operators, services, devices, agents, administrators.

Assets and impact

Data, commands, money movement, physical actions, safety boundaries.

Flows

Provisioning, command execution, updates, delegation, approvals, recovery.

State transitions

Modes, locks, approvals, failover, settlement, escalation.

Trust boundaries

Tenant, device, operator, model/tool, cloud/edge, IT/OT.

Enforcement points

Gateways, APIs, firmware checks, policy engines, approval gates, audit trails.

Example invariants

Invariants are the system-specific security properties that must hold across normal operation, failure states, and adversarial use.

  • A tenant-scoped request must never resolve data outside its tenant context.
  • An agent tool call must not exceed the permissions of the user or session that authorized it.
  • A device command must require the expected operator role, device state, and safety precondition.
  • A firmware or model update must not execute unless provenance, integrity, and rollout policy checks pass.
  • A payment or settlement flow must not complete after an invalid approval, stale authorization, or inconsistent ledger state.
  • Untrusted retrieved content must not influence privileged actions without an explicit gate.

What we test

Scenarios are derived from the model and prioritized by impact, reachability, and the confidence needed for a decision.

Authorization and confused-deputy failures.
Unsafe command, tool, or actuator execution.
Cross-tenant or cross-context data access.
State-machine bypasses.
Approval and safety-interlock bypasses.
Update, provisioning, or supply-chain trust failures.
Prompt or retrieval injection affecting privileged actions.
Audit gaps where impact cannot be reconstructed.

What you receive

Artifacts your team can review, maintain, and extend after the engagement.

Security world model

A structured artifact set that captures actors, authority, flows, state, trust boundaries, and enforcement points.

Invariant library

System-specific security properties with rationale, scope, and the conditions needed to test them.

Scenario backlog

Prioritized hypotheses derived from the model rather than a generic vulnerability checklist.

Exploration evidence log

Baseline behavior, attack variant, observed delta, and invariant state.

Prioritized findings

Reproducible issues mapped to violated invariants and the flows they affect.

Remediation and retest map

Enforcement points, likely fixes, and what must be revalidated after changes.

Executive readout

Scope-honest summary for leadership and stakeholders.

How it works

Typical flow. The exact schedule depends on system complexity, access, and target scope.

01

Scope the target and operating assumptions

02

Build the security world model

03

Define invariants and impact boundaries

04

Generate and prioritize failure scenarios

05

Run explorations and capture evidence

06

Deliver findings, remediation map, and retest priorities

4 weeks

Sprint

One critical subsystem

6-8 weeks

Standard

One critical system

10-12 weeks

Extended

Multiple systems or high complexity

Quarterly

Retainer

Advisory and periodic deep dives

Inputs and scope

Required

  • Architecture docs, even if incomplete.
  • API, device, cloud, agent, protocol, or workflow documentation.
  • Permission model, operator roles, approval rules, and safety constraints.
  • Staging/test access where explorations can run safely.
  • Engineers or domain owners for interviews and model review.
  • Domain context: what matters, what must never happen, and which actions are safety-critical.

Helpful but not required

  • Source code access.
  • Existing threat models, pentest reports, incident notes, audit requirements, or safety cases.
  • Production telemetry or anonymized operational traces.

What we will not promise

  • No claims of complete coverage.
  • No "guaranteed to find all bugs."
  • No formal verification claim unless explicitly scoped.
  • No robotics perception or physical-world simulation unless explicitly scoped.
  • No engagement without scoping and client participation.

How it differs

The assessment includes adversarial testing, but its main output is a reusable model and evidence chain.

Pentest

Finds exploitable issues in a scoped surface.

Threat model

Identifies possible risk paths.

AI red team

Tests model or AI application behavior under adversarial pressure.

World-model assessment

Builds a reusable security model, derives system-specific invariants, tests them, and leaves traceable evidence.

FAQ

It includes adversarial testing, but the output is broader: a reusable security world model, system-specific invariants, prioritized scenarios, evidence logs, and findings mapped to violated invariants.
No. We are not modeling the physical environment for robot planning or perception. We are modeling the target system's security-relevant actors, authority, state, trust boundaries, and control paths.
Helpful, not always required. We need enough access to model reality, validate assumptions, and run explorations safely.
You keep the artifacts and use them to retest impacted invariants when the system changes. We can optionally support adoption, retesting, and iteration.

Bring the target system and the outcomes that must never happen. We will help scope the model, access needed, and what evidence would be decision-grade.

Book a scoping call