Webinar Recap – Introducing CRQ.AI: A New Standard in Cyber Risk Quantification

From Blank Page to Quantified Cyber Risk in 30 Minutes

Anyone who has launched a cyber risk quantification program knows the hardest part isn’t the math, it’s facing a blank page. What are our risks? Where do we start?

In our recent webinar, Axio VP of Cyber Risk Brendan Fitzpatrick and Andrew Shea, President of CRFQ and co-founder of the Enterprise Risk Quantification Institute (ERQI), unveiled CRQ.AI, our new AI risk analyst built into the Axio360 platform that turns that blank page into a fully drafted set of quantified risk scenarios in about 30 minutes.

How CRQ.AI Works

CRQ.AI is designed to act like a senior risk analyst doing deep research on an organization. You give it two required inputs, a company name and URL, and, optionally, a refinement prompt to better focus the analysis (“focus on AI risks,” “look at our adhesive business unit,” or anything else you can describe in words).

From there, roughly 15 specialized agents go to work behind the scenes. They identify the company’s value drivers, map the assets supporting those drivers, posit what could go wrong, validate the plausibility of each scenario against real-world precedents, and produce four to six fully quantified risk scenarios.

Notably, CRQ.AI is an outside-in process by default: no internal security data is sent to the AI unless you explicitly attach an assessment. That protects confidential information while still producing remarkably accurate output — in months of customer demos; the generated scenarios have repeatedly matched risks already on customers’ internal registers.

What You Get Back

Each generated scenario comes complete with:

• A detailed risk narrative written as a story, not a one-liner like “external threat actor impacts ERP system.”
• Asset and value-chain validation with cited sources
• Attack path plausibility grounded in real-world examples
• Impact reasonableness checks compared to similar past events
• Precedence cases (e.g., “Clorox experienced a similar event, here are the differences”)
• MITRE ATT&CK alignment for control mapping
• Full quantification using Axio’s Monte Carlo engine, with editable variables and a 90% confidence distribution

Probabilities are drawn from Axio’s partnership with Cyentia, based on a 10-year rolling historical average tied to NAICS code and revenue band. Susceptibility is calculated relative to the other scenarios in your collection.

Why Detailed Scenarios Matter

Andrew Shea emphasized that a risk scenario is a story. The richer and more detailed the story, the further it travels — from your security engineers to the SOC to the GRC team to the CFO to the board. “Giving risk a face,” as Andrew put it, is what makes risk conversations strategic rather than abstract.

That detail also unlocks more advanced capabilities, such as Risk-Adjusted Return on Capital (RAROC) analysis, cost-benefit comparisons, and risk aggregation across portfolios, none of which work without standardized, well-defined scenarios as a foundation.

More Than a Scenario Generator

Brendan and Andrew highlighted several use cases that go well beyond first-time program setup:

• Risk triage — when an internal team sends in a broad concern like “we’re worried about ransomware,” use the refinement prompt to translate it into a targeted, prioritizable scenario
• Team-building bridge — engage threat intelligence, security engineering, and business unit owners using the same vocabulary as your risk team
• Training tool — walking through CRQ.AI output is a powerful way to bring new analysts up to speed on risk quantification thinking.
• Business engagement — instead of asking a general manager “what are your top risks?”, arrive with five quantified scenarios and ask them to refine.

As Brendan put it, the goal is to democratize cyber risk quantification: you no longer need to be a trained risk analyst to get actionable, defensible output as a starting point.

Availability

CRQ.AI is now live on the Axio360 platform for current Quantification customers. Beyond the UI, Axio meets you where you are and we offer external APIs and MCP integrations, so the data can flow into your own reporting, AI workflows, or analytics environments.

Watch the full webinar recording and reach out to [email protected] to book a demo and see CRQ.AI in action.