L I V E W E B I N A R
Introducing CRQ.AI: A New Standard for Cyber Risk Quantification
This webinar occured on Tuesday, May 12th, 11am ET
AI‑native cyber risk quantification, built on Axio’s proven modeling rigor, so that credible, well‑scoped scenarios take minutes instead of months, and no longer require a dedicated quant specialist to build.
Say goodbye to the days when cyber risk quantification was a slow, specialist-only pursuit! With Axio’s CRQ.AI, we're opening the doors to a faster, smarter, and more accessible approach to understanding your cyber risk. Our live launch event will show you how our OpenAI-powered deep research engine can select the perfect quant template, automatically write missing formulas, fill in estimated values, and rigorously vet scenarios against real-world precedents, so you get credible results without the headaches or the wait.
Axio’s Brendan Fitzpatrick, VP of Cyber Risk Modeling and the Product Owner for CRQ.AI, will guide you through the platform’s features; he’ll be joined by Andrew Shea, President of CRFQ and Co-Founder of the Enterprise Risk Quantification Institute (ERQI), an Axio partner and a recognized industry leader in rigorous CRQ practice. Together, they’ll share practical insights and a fresh perspective on where the field is headed.
Here’s what you can look forward to:
- Get a first look at the CRQ.AI wizard as it builds fully scoped CRQ scenarios from minimal information in minutes.
- Learn about AI guardrails in action: CRQ.AI vets scenarios against established precedent to catch AI hallucinations, which is crucial for boardroom, auditor, and regulator confidence.
- Experience the first CRQ platform to seamlessly incorporate both IT and OT assets; no more leaving operational technology out of your risk scenarios. CRQ.AI responds to your refinement prompts and brings those traditionally hard-to-reach OT environments into scope, giving you a level of coverage other tools can’t match.
- Discover how, once your CRQ scenarios are generated, you can continue to fine-tune and use the results to prioritize controls, secure the right insurance coverage, and take real steps to lower your risk.
- Gain an independent industry perspective on what this shift means for the discipline and the practitioners at the forefront.
Meet the Speakers
Brendan is Vice President of Product Management, Quantification Modeling at Axio, where he leads the quantification modeling team in building and applying AI agentic solutions, including deep research, scenario generation, and cyber-physical quantification agents, to deliver advanced cyber risk quantification capabilities. He serves as product owner for the Axio Quantification solution and drives the ideation and design of its core engines and integrations. He is also a Co-Founder of the Enterprise Risk Quantification Institute (ERQI).
A seasoned cybersecurity professional, Brendan holds a B.S. in Information Assurance from the University of Maryland University College and certifications including CISSP, GPEN, GICSP, and CRISC.
Andrew is an enterprise and cyber and risk management executive with over two decades of domain experience. In that time, Andrew created one of the first cyber risk quantification models, was integral to the development of the underwriting process for the first cyber insurance policies and created a family of offerings to operationalize cyber risk management and enterprise risk quantification.
His organization CRFQ is focused on assisting enterprise organizations with the implementation and ongoing development of enterprise, cyber and third party risk financial quantification capabilities. Andrew is also a Co-founder and Co-chairmen of the Board of the Enterprise Risk Quantification Institute (ERQI). The ERQI is a non-profit Institute focused on helping to develop and promote enterprise risk quantification models, methodologies and tooling to help ensure that organizations can understand the financial risk they face is an increasingly complex and technology centric global economy. Andrew also sits on the FAIR Institute's Third Party Risk Management Standards committee.