Fewer than half of 1,100 leaders have the integrated risk model two-thirds call a priority
In Grant Thornton's survey of 1,100 business leaders, 67% rank enterprise risk management a top priority and 48% have implemented an integrated model. Separately, 61% say insufficient integration across risk functions leaves an incomplete view of organizational risk.
The Investor · Invest desk

Key figures: 68% of respondents say data quality and availability limit risk integration; 67% name data, analytics and reporting a top priority, ranked alongside risk management; 61% say insufficient integration across risk functions creates an incomplete view.
- 68% of respondents Say data quality and availability limit risk integration, claim 7
- 67% of respondents Name data, analytics and reporting a top priority, claim 6 Ranked alongside risk management
- 61% of respondents Say insufficient integration creates an incomplete view, claim 20 Across risk functions, of organizational risk
| Figure | Value | Note | Claim |
|---|---|---|---|
| Say data quality and availability limit risk integration | 68% of respondents | 7 | |
| Name data, analytics and reporting a top priority | 67% of respondents | Ranked alongside risk management | 6 |
| Say insufficient integration creates an incomplete view | 61% of respondents | Across risk functions, of organizational risk | 20 |
What happened
- More than two-thirds of respondents, 68%, said data quality, availability and visibility limit how far risk management can be integrated.
- Only 26% of IT leaders reported advanced, integrated AI governance with data-driven monitoring.
- Broad or full AI deployment in risk functions reaches just 12% in internal audit, 13% in regulatory compliance and 21% in fraud detection.
- Some 96% of respondents reported using outsourced capabilities for cybersecurity threat detection and response.
Why it matters
- contradiction A firm that reports having a model cannot be assumed to have the view: if one respondent group answered all three questions, some model owners still report an incomplete picture.
- constraint A risk-integration purchase that comes before data cleanup targets the limit respondents cite and leaves it in place.
- exposure The 55% who name deepfake or AI-enabled fraud a top concern face it with fraud detection that most have not broadly equipped with AI, though the two figures come from different questions.
- cost Buffomante said that without a shared view leaders "risk spending too much on their cyber and risk programs". The firms paying are those that buy tools before settling definitions and ownership.
Every figure here is Grant Thornton's, as reported by cpapracticeadvisor.com. The two partners quoted lead service lines at the firm: Tony Buffomante is national managing partner of Cyber & Risk services at Grant Thornton Advisors LLC, and Tom Puthiyamadam is national managing partner of Advisory Services there [15]. A survey that finds a shortfall in the field those practices work in can still be right, but it is one source. Buffomante said, "Many organizations have visibility into individual risks but lack a clear view of how those risks connect across the enterprise." [4]
The 19-point difference between the 67% who call enterprise risk management a top priority and the 48% who have implemented a model [17] is softer than it looks. The 48% counts organizations that have implemented "integrated risk management or an enterprise-wide operating model" [3], and the "or" admits firms that have only one of the two.
The more interesting number is the third. If 48% have implemented, 52% have not [18], yet 61% say insufficient integration leaves an incomplete view [20], so at least 9 points of respondents would sit in both groups [21]. That holds only if the three figures describe the same respondents, and the figures as reported do not say they do. If they do, owning a model has not been enough to produce the view. If they do not, no overlap is implied and the survey says what it appears to say, that roughly half the firms lack a model. A different respondent base for the 61% would prove the first reading wrong.
Data is the stated obstacle, and it is also the other top priority: data, analytics and reporting ranks alongside enterprise risk management at 67% [6]. Puthiyamadam said, "Organizations are generating more risk data than ever. But data alone doesn't improve decision making." [8] A counter-reading is sequencing. Firms may be fixing data first and building the model second, in which case part of the 19 points is timing, since the 67% priority runs over the next 24 months [2].
Grant Thornton ties the reliance on outside providers to talent, with 52% naming cybersecurity talent and skills shortages as a key challenge [14]. A detection service can be contracted. In our view the items Buffomante lists as the price of a shared view, "common risk definitions, integrated data, clear ownership and governance that spans functions and business segments" [5], are decisions inside the organization, and a detection contract does not make them.
The AI numbers need the same care. The 57% who named AI governance and AI use a top source of future risk or regulatory scrutiny are business leaders [9]; the 26% reporting advanced, integrated AI governance are IT leaders only [10]. The 31-point difference [19] compares two groups of respondents, so it shows direction only.
What to watch
- Whether Grant Thornton's full report states the respondent base behind the 48% and 61% figures; one shared base would confirm the 9-point overlap.
- Whether broad AI deployment in internal audit, regulatory compliance and fraud detection moves from 12%, 13% and 21% in a repeat survey.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence40
- Adoption48
- Hype gap+15
- Incentives70
- Confidence50
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
Grant Thornton's 2026 Cyber & Risk Survey covered 1,100 business leaders.
- [2]
67% of respondents identified enterprise risk management and governance as a top risk and compliance transformation priority over the next 24 months.
- [3]
Fewer than half (48%) said their organizations have implemented integrated risk management or an enterprise-wide operating model to address risk.
- [4]
Tony Buffomante said: "Many organizations have visibility into individual risks but lack a clear view of how those risks connect across the enterprise."
- [5]
Buffomante said creating that shared view requires "common risk definitions, integrated data, clear ownership and governance that spans functions and business segments."
- [6]
Data, analytics and reporting ranked alongside enterprise risk management and governance as the top transformation priority, with 67% of respondents identifying it as a key focus area.
- [7]
More than two-thirds (68%) said data quality, availability and visibility limit risk management integration.
- [8]
Tom Puthiyamadam said: "Organizations are generating more risk data than ever. But data alone doesn't improve decision making."
- [9]
57% of business leaders identified AI governance and AI use as a top source of future risk or regulatory scrutiny.
- [10]
Only 26% of IT leaders reported having advanced, integrated AI governance with data-driven monitoring.
- [11]
Broad or full AI deployment in key risk functions reaches just 12% in internal audit, 13% in regulatory compliance and 21% in fraud detection.
- [12]
96% of business leaders reported using outsourced capabilities for cybersecurity threat detection and response.
- [13]
55% of business leaders cited deepfake or AI-enabled fraud as one of their organization's top fraud concerns.
- [14]
More than half (52%) of business leaders identified cybersecurity talent and skills shortages as a key cybersecurity challenge, and talent shortages are driving organizations to rely on external providers.
- [15]
Tony Buffomante is national managing partner of Cyber & Risk services at Grant Thornton Advisors LLC, and Tom Puthiyamadam is national managing partner of Advisory Services at Grant Thornton Advisors LLC.
- [16]
Buffomante said that without a shared view, leaders "risk spending too much on their cyber and risk programs and lack the ability to quickly mitigate risks and enable broader operational resilience."
- [17]
The difference between the 67% naming enterprise risk management a top priority and the 48% with an integrated model or operating model is 19 percentage points.
- [18]
If 48% of respondents have implemented a model, 52% have not.
- [19]
The difference between the 57% of business leaders naming AI governance a top future risk source and the 26% of IT leaders with advanced AI governance is 31 percentage points, across two different respondent groups.
- [20]
61% said insufficient integration across risk functions creates an incomplete view of organizational risk.
- [21]
If the 48% and 61% figures share one respondent base, at least 9 percentage points of respondents have implemented a model and also report an incomplete view of risk.
Sources
1 independent publisher whose own reporting we read for this story.
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Topics
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