Analyst Report

What AI-powered CRQ Means for the Future of Cyber Risk Quantification

Automating Cybersecurity Posture Assessment is a report from analyst firm TAG Cyber written by Ed Amoroso, founder of TAG Cyber and former SVP/CSO of U.S. telecommunications giant AT&T.

Cyber risk is evolving—and your response strategy must evolve with it. As attack surfaces expand and the pace of change accelerates, enterprise security teams face a critical question:

How do you quantify and act on risk at scale?

This research explores how AI-powered Cyber Risk Quantification (CRQ) and continuous Attack Surface Management (ASM) reshape how organizations prioritize, communicate, and reduce risk.

What You’ll Learn

  • Why traditional risk scoring methods fall short in today’s environment
  • A 3-stage model for operationalizing CRQ: visibility, prioritization, and mobilization
  • How AI assistants like BIX are making CRQ data more accessible across the business
  • A step-by-step adoption plan for enterprise teams – from crawl to walk to run stages.

Why This Matters Now

Cybersecurity is no longer siloed—it’s under the spotlight in every boardroom. This research helps CISOs, security architects, and risk leaders understand how CRQ can serve as the connective tissue between technical findings and business decisions. Whether evaluating tools, aligning with the CFO, or modernizing your risk posture, this report provides the necessary clarity.

About The Report

TAG Infosphere, an independent research and advisory firm, wrote this report. It provides an expert perspective on AI-powered Cyber Risk Quantification (CRQ) and Attack Surface Management (ASM), featuring a clear operational framework and practical, real-world guidance.

Who is this research report for?

This report is designed for CISOs, security leaders, and risk professionals who want to improve their organizations’ understanding, prioritization, and action on cyber risk. It is also for those transitioning from technical metrics to business-aligned risk decisions.

Will this report help me build a business case for AI-powered CRQ?

Yes. The report outlines a defensible risk model, real-world use cases, and a practical five-step action plan to support internal discussions with stakeholders like your CFO, CIO, or board. It offers a clear roadmap for adoption.

Do I need to use Balbix to benefit from this report?

Not at all. While Balbix is the main topic in this report, the insights are tool-agnostic and focus on broader industry challenges and best practices. You’ll gain value regardless of your current platform or maturity level.

What AI-powered CRQ Means for the Future of Cyber Risk Quantification

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