FAIR Institute 2026 State of Cyber Risk Management: survey of 400 risk leaders

In two minutes

• The FAIR Institute surveyed 400 cyber risk practitioners online in April 2026, at organizations with 1,000 or more employees, and reports a shift from compliance work to quantified, automated, board-level risk management (pp. 3, 5).
• 58% of organizations use the FAIR model (27%) or plan to (31%), up from 46% in 2025; 90% of fully quantitative practitioners express risk in financial terms (pp. 3, 6, 14).
• Self-reported maturity is 10% low, 38% moderate, 40% high and 11% very high; the report describes this as a recalibration from 2025, when 0% said low and 43% said very high (pp. 3, 7).
• Maturity tracks posture: 91% of very high maturity organizations call themselves proactive, against 37% of moderate maturity ones (p. 13).
• 64% have mostly or fully automated CRM systems, and 80% use AI (37%) or experiment with it (43%); AI users are more often proactive (71% vs 52%) (pp. 20, 27).
• Board use of cyber risk data rose to 63%, 97% have defined risk appetite and 89% have board approval of it (pp. 4, 10, 15).
• Remaining gaps are organizational: silos between security teams (33%), poor communication between departments (46%), and governance groups called fully effective by only 35% (pp. 29-30).
• Only 14% of business unit and product leaders use cyber risk information (pp. 15-16).

Key numbers

• 58%: Organizations using FAIR (27%) or planning to adopt it (31%); 46% in 2025 (p. 3 and p. 14).
• 80%: Organizations using AI for CRM (37%) or experimenting (43%) (p. 27).
• 71% vs 52%: Share describing their approach as proactive: AI-integrated vs non-AI organizations (p. 27).
• 91% vs 37%: Proactive posture at very high maturity vs moderate maturity (p. 13).
• 64%: Organizations with mostly or fully automated CRM systems (p. 20).
• 63%: Organizations where the board uses cyber risk information (p. 15).
• 33%: Organizations citing gaps between cybersecurity silos, the most cited challenge (p. 29).
• 14%: Business unit and product leaders who use cyber risk information (pp. 15-16).

What to do with it

• Compare your own maturity level with the distribution on p. 7, noting that the report presents the 2026 spread as a recalibration from 2025 (p. 3).
• Check whether your cyber risk reporting uses financial terms, as 90% of fully quantitative practitioners in the sample do (pp. 6, 10).
• Check who uses your risk data: the report flags business unit and product leaders at 14% as a gap to close (pp. 15-16).
• Review the integration list on p. 23 (IT asset management 90%, ERM 81%, finance 70%) against where your program connects today.
• Plan for AI in CRM with the concerns respondents named: regulatory uncertainty (37%), missing AI-specific risk assessment models (32%), insider misuse or misconfiguration (30%) (p. 28).
• Look at communication and silos between CRM, vulnerability and threat teams, the challenges most cited in the survey (p. 29).

Read the full document if

• you need benchmark figures on FAIR adoption, automation and AI use in cyber risk programs at large organizations.
• you are preparing a board paper on quantified risk and want comparison points on appetite, approval and board use.
• you want the full demographic tables (pp. 32-36) to see how far the sample matches your company.

What it relies on

The report rests on its own online survey, fielded in April 2026 through a recruitment panel with Hanover Research. The final sample is 400 respondents in 14 countries (US 38%, UK 23%), all at organizations with 1,000 or more employees, all involved in technology purchase decisions, and all screened for cyber risk knowledge (p. 5). Results are self-reported. The 2025 comparisons come from an earlier study that this text does not describe. The FAIR Institute ran the research and promotes the FAIR model. Sponsor GuidePoint sells cybersecurity services, and sponsor SAFE sells a platform covering cyber risk quantification and third-party risk, both of the kind the report discusses (p. 37).

Our read

Useful as a set of benchmark figures on how large organizations report their cyber risk programs, with full demographic tables. It is a self-reported survey by a body that promotes FAIR, with sponsors that sell related services and tooling. The tables carry the detail; the commentary around them is more upbeat in tone.