Frequently Asked Questions

X-Analytics is AI for cyber risk management. The platform's domain-specific AI builds a personalized cyber risk profile for your business and reasons through cyber risk management decisions, helping your team reduce exposure. Cybersecurity teams, private equity firms, and consulting firms use X-Analytics to set strategy, prioritize day-to-day security work, and evaluate acquisitions and suppliers.

AI for cyber risk management is domain-specific AI built for the people responsible for reducing cyber risk, including security leaders, private equity operating partners, and cyber risk advisors. X-Analytics is AI for cyber risk management.

X-Analytics pairs AI with a patented ontology that maps how cyber risk works and purpose-built agents that apply proven logic to specific tasks. Together, they keep the AI focused and consistent, reasoning within your cyber risk profile the way an expert would.

You can use AI to prioritize cyber risk management decisions by letting the AI weigh and rank the actions that will reduce your exposure. X-Analytics' domain-specific AI does this work within your cyber risk profile and keeps the ranking current as conditions change, so your team always knows where to focus, whether that's building a risk-based program, guiding daily security work, or evaluating acquisitions and suppliers.

General-purpose AI lacks both cyber risk expertise and the appropriate context of your business. X-Analytics brings both, and the platform is designed to keep the work consistent and traceable, with every session building on the last.

X-Analytics builds your cyber risk profile, which is a structured collection of the context that contributes to your organization's cyber risk, such as real-world losses, business characteristics, asset groups, controls, and threat categories. The profile takes minutes to build, stays current as your business and the threat landscape change, and gives the platform's AI the appropriate context.

Yes, for almost a decade. X-Analytics first licensed its ontology to one of the world's largest insurers, where it continues to help inform the underwriting of tens of thousands of cyber insurance policies each year. Since then, X-Analytics has proven its approach with enterprises, consulting firms, and private equity firms managing more than $1T in combined assets.

Yes, when it's built for the job. AI for cyber risk management is reliable when it reasons within a defined structure and the context of your business, which is how X-Analytics is designed to work.

X-Analytics is AI for cyber risk management, designed to reason through how cyber risk works. Where CRQ tools focus on producing a number and require teams to learn a methodology and supply the data, X-Analytics brings the cyber risk expertise focused on supporting decisions. Financial exposure measurements are a helpful byproduct of X-Analytics, but they are not the end goal.

Where security ratings score organizations from the outside-in, using surface-level signals, X-Analytics applies domain-specific intelligence to each business's cyber risk profile. A rating can produce a signal. X-Analytics is designed to produce decisions.

GRC platforms are workflow automation tools for risk and compliance, designed to organize, route, and track work. They rely on customers or general-purpose AI to reason through how cyber risk works. Businesses need repeatable, defensible decisions at the pace the world around them changes, which requires domain-specific intelligence built into the platform itself. That is what X-Analytics was designed to provide.

X-Analytics handles cyber risk management work in plain language. Ask it to draft a cyber risk strategy, prioritize the vulnerabilities in your backlog, prepare a board update, or assess an acquisition, and it delivers recommendations built on your cyber risk profile.

Yes. X-Analytics brings consistent, proven domain-specific intelligence, and recognizes that every business has its own way of working. The platform adapts to deliver intelligence that fits how you work, including your custom frameworks and taxonomies, as well as common frameworks such as CIS CSC 8.1, NIST CSF 2.0, ISO 27002, and CRI 2.0.

Yes. X-Analytics connectors bring data from tools like CrowdStrike and Drata into your cyber risk profile. X-Analytics can also send recommendations, such as potential configuration changes or new project suggestions, back to those platforms.

X-Analytics incorporates changes in your cyber risk profile as they happen, including relevant loss events, business changes, threat landscape adjustments, and more. The platform logs each change and applies its reasoning consistently, so you can reference every change and receive meaningful trending data.

Yes. X-Analytics logs every change, and every recommendation traces back to the inputs and logic behind it, so your team can understand what changed or why a recommendation was made, and explain both to any audience.

AI can help build a cyber risk strategy by sequencing initiatives for the greatest risk reduction, testing them against budget scenarios, and checking the plan against real-world changes in threats and the business. X-Analytics is AI for cyber risk management that reasons within your cyber risk profile to provide actionable, explainable recommendations.

AI can support operational cyber risk by guiding day-to-day work, such as vulnerability management and tool configuration, toward the changes that reduce the most exposure. X-Analytics is AI for cyber risk management that applies domain-specific intelligence within your cyber risk profile and connects to your security tools, so every recommendation reflects your actual environment.

AI can support M&A and third-party risk diligence by assessing the cyber risk each acquisition or supplier brings to your business and shaping how you respond, from integration plans to contract terms. X-Analytics is AI for cyber risk management that evaluates each acquisition and supplier against your own cyber risk profile, so findings reflect what that relationship means for your business.

Cybersecurity teams can use AI for cyber risk management to set program strategy, prioritize vulnerabilities and control changes, and show leadership how their decisions improve resilience. A Fortune 200 financial services company used X-Analytics to uncover $2.0 billion in risk reduction.

Private equity firms can use AI for cyber risk management to see cyber risk consistently across the portfolio, focus resources where they reduce the most risk, and show how cybersecurity contributes to value creation. A global private equity firm reduced over $1 billion in financial exposure across its portfolio with X-Analytics.

Consulting firms can use AI for cyber risk management to deliver expert analysis faster, apply consistent recommendations across every client, and turn one-time assessments into ongoing advisory relationships. Firms layer their expertise on top of X-Analytics' proven, domain-specific intelligence.

No. Customer data is never used for training the models.

Yes. X-Analytics is SOC 2 Type II certified, and the platform was designed to be enterprise-ready from day one, with security built into every layer. Access is managed centrally and follows your organization's permissions, and each connector has only the access it needs.

Getting started is simple. You can explore X-Analytics risk-free in a sandbox or test the platform against your requirements in a free trial. Whenever you're ready, our Customer Success team can help you make the easy transition and start putting X-Analytics to work.

No. X-Analytics brings the cyber risk expertise and works for programs at any stage of maturity. The platform guides you through setup in minutes, and you can add context and integrations as you go, with the X-Analytics team available to help.

No. X-Analytics is designed to provide answers, not more work. Teams don't need to learn new vocabulary or approaches because the intelligence is delivered in the way they already work.

X-Analytics partners with technology providers and consulting practices to bring domain-specific AI for cyber risk management to their clients. Technology partners connect their solutions to the X-Analytics platform. Consulting partners build X-Analytics into their engagements.

X-Analytics was founded and is led by John Frazzini (CEO), Robert Vescio (Chief Analytics Officer), and Kyle Ferguson (VP of Operations).