Q-RiskRequest a demo

Cyber risk, quantified. Think like an attacker. Decide like a business.

Q-Risk analyses cyberattack paths, translates them into financial impact, and helps you prioritise the risks that matter most to your business.

Request a demoHow it works
Live simulationcalibrating
  1. Awaiting first validated path
The cybersecurity runbook is broken.The threat has changed.
Thousands of vulnerabilities.But AI agents are invisible.
What's our cyber risk in dollars, not colors?Nobody could answer with confidence.

Attacks are now AI led.
The SLA to fix a vulnerability is history:

90days

Your cyber risk happens before it can be logged.

Four steps. One evidence chain.

Continuous analysis of assets, identities and data, linked to the business process they support.

Simulated AI attacks run the way a frontier-model would, with guardrails. Attack paths and exploits are identified.

Paths and exploits are quantified into business impact. Risks to revenue, operations and regulations are modelled.

Exposure ranked by business impact in numbers, not generic technical metrics. Numbers that the board and regulators understand, and the CISO can stand behind.

01 Map
02 Attack
03 Price
04 Decide


Every decision improves the next run.

  1. Collectcode, cloud, assets, data
  2. Attack testAI agentics, CVEs, business flow
  3. Quantifyinto business impact numbers
  4. Evidencereasoning, fixes, residual risk
  5. Actfix, accept, monitor, re-test

Built to be challenged.

The engine is guarded, the deployment is yours to choose, and every number carries the chain of evidence that produced it.

SurfacesRisk dashboardEvidence packChat Q&A
ModelsHosted frontierLocal open-weightBring your own
Guarded engineEnvironment graphExploit validationFinancial engineAudit chain
SignalsScannersCloud & endpointsVendorsPublic data

Runs inSaaS · Dedicated · Customer VPC · Private cloud · On-prem

Every number traces toexploit pathbusiness processbusiness impactmodel versiontimestamp

AI red teamsProve the exploitStop at severity

quantifies what it finds.

Prove the exploit like a red team, quantify the loss better than a CRQ platform, with an auditable evidence chain.

For any business board that asks: what is our cyber risk in dollars?

CRQ platformsModel the lossRest on estimates

Understand your cyber risk in business impact,
not technical jargon.

Onboarding early design partners in financial services and insurance.
Show us your environment and we will show you your exposure.

contact@q-risk.ai