For Tier-1 suppliers

Build your Security Blueprint once.Reuse it in every OEM program.

One platform replaces six. Your ECU lives as a Security Blueprint on the knowledge graph — model, TARA, evidence, all connected. New OEM program? Clone the blueprint, re-bind, analyse the delta: eighty percent carries forward. You execute one cybersecurity program, not four.

app.threatz.io/projects/can-gateway/risk
Risk relationship graph · R-014 · reused into Program N+1 CAN GATEWAY · BASELINE B-2.4 → FORK
CAN Gateway ASSET
DS-11 Loss of control DAMAGE SCENARIO
TS-047 Frame injection THREAT
R-014 · Critical RISK
AP-09 OBD-II entry ATTACK PATH
CTL-27 SecOC CONTROL
CLM-07 Verified CLAIM
clone Security Blueprint → re-bind → 80% carries forward
80% of program N carries into program N+1 1 not 4 — cybersecurity programs you actually run 60–70% of engineer time today is redoing existing work RENDER not rewrite — the second auditor's format
THE PLATFORM, THROUGH TIER-1 EYES Design ●●● TARA ●●● SBOM ●●● Testing ●●● Compliance ●●● Governance ●● Collaboration ●●● Operations ●● AI Layer ●●● Platform & Deployment ●●

●●● = how much this area matters to a Tier-1. Same platform, different job: the OEM view reads differently on purpose.

DESIGN

model once, not once per customer

System Modeling — your Security Blueprint

●●●
→ Program N+1 starts from the blueprint, not a blank canvas

Model the ECU platform once — that's your Security Blueprint. The next program starts by cloning it and analysing the delta, not from a blank canvas with a different OEM's template beside it.

ARXML / System Composer / Simulink Ingest

●●●
→ Security model tracks the design — never retyped

Your source of record is already System Composer and ARXML. ThreatZ reads both planes — network and function/behaviour — so the security model tracks the design instead of being retyped from it. Most alternatives read ARXML only, which never carries functional decomposition.

Diagnostic & Signal Ingest (ODX/PDX/CDD, DBC)

●●●
→ Your ODX becomes the TARA asset inventory

You already ship an ODX file. It becomes the asset inventory for the TARA — and the mapping is reviewed before commit, never applied silently.

TARA

the twelfth starts from the first

Threat Modeling

●●●
→ 80% reuse on the second program

Same ECU family, twelve programs, twelve TARAs today. Stored as a graph, the twelfth starts from the first — you analyse the difference. 80% reuse on the second program; today 60–70% of engineer time is redoing existing work.

Attack Path Analysis & Aggregated Attack Tree

●●
→ Rate once, present four OEM ways

Each OEM wants feasibility rated their way. The §15.7 rating approach is selectable per analysis — attack potential, CVSS, attack vector — over the same paths. Rate once, present four ways.

Risk Assessment

●●
→ OEM re-rates impact without invalidating your analysis

Impact is your customer's call, feasibility is yours. They stay separate inputs, so an OEM can re-rate impact for their vehicle context without invalidating your engineering analysis.

Risk Treatment & Assurance Chain

●●
→ ReqIF export — never asked for evidence twice

Claims evidence what you actually delivered, and where a shared risk sits with your Tier-2. ReqIF export means your customer ingests it into their requirements tool instead of asking for it again in their format.

SBOM

four OEMs, one answer — and your Tier-2s

SBOM Management & Vulnerability Matching

●●●
→ One answer for four OEMs; Tier-2s work in your tenant

Half your CVE work is chasing Tier-2s while four OEMs ask the same question four ways. Federation runs downward as well as upward — your Tier-2s work in your tenant the way you work in your customer's. CVE response time to customers is the number that moves.

TESTING

evidence as a byproduct, not a sprint

Validation & Testing

●●●
→ A week per OEM auditor → a byproduct of the work

You produce most of the verification evidence. Producing it once, linked and reusable across programs is the difference between an audit sprint and a byproduct of the work — today it's a week per OEM auditor, in each auditor's format.

Penetration & Fuzz Campaigns

●●●
→ Defend test scope with analysis, not budget

Test budget is finite and every OEM wants a different depth. Driving campaigns from rated paths lets you defend scope with the analysis instead of absorbing whatever each customer asks for.

COMPLIANCE

the second format costs a render

ISO/SAE 21434 Work Products & Report Templates

●●
→ The second auditor’s format costs a render, not a rewrite

One auditor's week, then another auditor's week for the same evidence in a different shape. Generated from the graph, the second format costs a render, not a rewrite.

Baselines, Variants & Releases

●●●
→ Program N+1 at a fraction of program 1

This is the machinery behind reuse. Fork the baseline for the new variant or customer program, re-bind, analyse only what differs. It's why program N+1 costs a fraction of the first instead of starting at zero.

GOVERNANCE

their methodology, your execution

Policy Manager & Security Catalog

●●
→ Six months of methodology-learning skipped per customer

Each customer's methodology arrives as policy you execute against, instead of six months of senior engineers reading template documents to learn how this OEM wants TARA done.

RBAC, audit trail & approval gates

●●
→ One tenant, many OEMs — commercially safe

Multiple OEM programs in one tenant means one customer must never see another's work. Entity-level RBAC is what makes running them on one platform commercially safe.

COLLABORATION

one program, every customer

Supplier Federation

●●●
→ Execute one cybersecurity program, serve four customers

You stop running four cybersecurity programs in parallel and start executing one. Each customer's templates, methodology and cadence federate onto your platform — they see their workflow live, you work once. Portal adapters map data after the fact; federation happens before it.

Architecture Mapping Studio

●●●
→ ~80% of customer traceability proposed for you

Vulnerability → component → system → test evidence is the traceability your customers keep asking for and nobody produces quickly. ~80% of the mapping is proposed for you.

OPERATIONS

answer from the graph you analysed in

Monitoring & Incidents

●●
→ Answer field questions from the graph you analysed in

Field incidents arrive as your customer's questions about your ECU. Answering from the same graph you did the TARA in beats reconstructing the context each time.

AI LAYER

your prior work, proposed back to you

AI Assistant & Recommender

●●●
→ Your prior programs, proposed back to you

Recommendations come from a graph that already holds your previous programs, so the assistant is effectively proposing your own prior work back to you. That's where the engineering hours are recovered — not a general-purpose model that has never seen your architecture.

PLATFORM & DEPLOYMENT

answer procurement before it asks

Deployment, Sovereignty & Integrations

●●
→ One procurement round removed before it starts

Your customers will impose their data requirements on you. Answering the deployment question before it's asked removes a procurement round you'd otherwise lose weeks to.

Program N+1 shouldn't
cost what program 1 did.

Bring your ECU family and your customer list — we'll show the reuse math on your own shape.

Book a Tier-1 demo