---
title: Third-Party & Supply-Chain Cyber Risk Quantification
description: Quantify your third-party and supply-chain cyber risks with CyQuantiFi, revealing correlated exposures and their financial impact for informed decision-making.
---

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# Third-Party & Supply-Chain Cyber Risk Quantification

Your biggest exposure often isn't in your network — it's in your vendors'. CyQuantiFi puts a dollar figure on third-party and supply-chain cyber risk, and reveals the correlated exposure that traditional registers miss: the risks that all move together the moment a shared dependency fails.

[Book a scoping call →](https://cyquantifi.com/demo?hsLang=en)

---

## The risk register lies about your vendors

Most third-party risk programs produce a questionnaire score and a colour. Neither tells a board what a vendor failure is worth, and neither captures the real danger: **correlation**. When several "independent" risks quietly depend on the same supplier — a telco, a cloud provider, an identity platform, a payments processor — they don't fail one at a time. They fail together.

**A live example.** When a single telecommunications fault took down a major Australian network, it didn't just drop phone calls — it stopped trains, froze card payments and touched emergency services in the same morning. Three "separate" risks, one shared dependency, all firing at once. A heatmap rated them as three unrelated amber cells. The dollars told a very different story.

## The Threat Tide Method: modelling shared weather

CyQuantiFi's **Threat Tide Method** quantifies third-party and supply-chain risk the way it actually behaves. We compose your attack graph with your vendors' — without copying their data — and simulate loss across the whole picture. Crucially, we model the *shared weather*: when the threat environment heats up, linked risks surge together, and the worst-case tail gets fatter. The result is an honest worst case, not an artificially calm one — and it's backed by patent-filed technology.

Shared weather

Correlation, modelled

Linked risks move together — we simulate that instead of pretending they're independent.

Fatter tail

Honest worst case

The high-loss end of the distribution reflects reality, not wishful thinking.

$ per vendor

Dollar exposure

Each supplier's contribution to your Annual Loss Expectancy, ranked.

## How it works

1

#### Map your critical suppliers

We identify the vendors and dependencies that more than one part of your business relies on — the concentration points that create correlation.

2

#### Bridge the graphs

Your attack graph links to vendor threat models through a secure boundary — their exposure is referenced, not copied — so we can simulate risk across the whole supply chain.

3

#### Simulate the correlation

A FAIR-aligned Monte Carlo simulation runs across the composed graph with shared-weather correlation, producing a loss distribution with an honest tail.

4

#### Rank and act

You get each vendor's dollar contribution to your risk, the concentration points to diversify, and the control moves that reduce exposure most per dollar.

## Built for CPS 234 and SOCI supply-chain obligations

APRA CPS 234 requires regulated entities to manage the information-security capability of third parties that handle their information assets. SOCI's all-hazards CIRMP framework puts supply-chain risk squarely in scope. A dollar-based, correlation-aware estimate is the cleanest evidence you can put in front of a regulator — and a far stronger board conversation than a vendor questionnaire score.

## Who it's for

Risk and security leaders at APRA-regulated financial institutions, SOCI-regulated critical infrastructure operators, and any organisation with concentrated vendor dependencies who needs to move third-party risk from a questionnaire colour to a defensible dollar figure.

---

## Frequently asked questions

### What is third-party cyber risk quantification?

It's expressing the cyber risk your vendors and suppliers create for you as a dollar figure — an Annual Loss Expectancy — instead of a questionnaire score or a colour. CyQuantiFi does this by composing your attack graph with your vendors' and simulating loss across the whole supply chain.

### Why does correlation matter in supply-chain risk?

Because shared dependencies mean linked risks fail together, not one at a time. If you model each vendor risk independently, you systematically understate your worst case. The Threat Tide Method models the correlation — the shared weather — so the tail of your loss distribution reflects reality.

### Do you need access to our vendors' systems?

No. Vendor exposure is referenced through a secure boundary, not copied. We compose the graphs for simulation without moving your suppliers' data into your environment.

### How is this different from a security ratings service?

External ratings score a vendor's posture from the outside. They don't tell you what a vendor failure would cost *you*, and they don't model correlation across your supply chain. CyQuantiFi produces a dollar exposure specific to your business, with the correlated worst case included.

### See what your supply chain is really worth in risk

Run a Threat Tide analysis across your vendor graph and your own.

[Book a Demo →](https://cyquantifi.com/demo?hsLang=en) [See the Platform →](https://cyquantifi.com/product?hsLang=en)

### Related services

- [Cyber risk quantification for SOCI & CIRMP](https://cyquantifi.com/services/cyber-risk-quantification-soci-cirmp?hsLang=en) — board-ready dollar figures for your CIRMP attestation.
- [IRAP assessments & Essential Eight uplift](https://cyquantifi.com/services/irap-assessment-essential-eight?hsLang=en) — independent assessment against the ISM and Essential Eight.

*This page describes CyQuantiFi's third-party and supply-chain cyber risk quantification service. It is general information, not legal or compliance advice; regulated entities remain accountable for their own third-party risk obligations.*

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