Rapid7 research shows 1.6x AI governance concern gap for executives
Rapid7 and Omdia research highlights a 1.6x higher concern among executives versus practitioners regarding AI governance. Despite 97% reporting positive operational impacts, the study underscores a growing demand for transparency and accountability in AI-driven security operations.

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Executive security leaders are significantly more concerned about artificial intelligence governance than frontline practitioners, according to new research commissioned by Rapid7 (NASDAQ: RPD) and conducted by Omdia. The global survey of 500 security professionals found that executives are 1.6 times more likely to report being highly concerned about how AI vendors handle organizational security data compared to operational security managers.
The study indicates that while AI has crossed the threshold for operational adoption, attention is shifting toward transparency, accountability, and governance. Among organizations already using AI in production, nearly all respondents reported positive operational results, reinforcing AI’s status as a core component of modern security operations.
Key Findings
The survey, conducted between February 10 and March 3, 2026, revealed widespread confidence in AI’s operational value alongside growing executive scrutiny:
- 97% of respondents report AI is having a positive impact on security operations.
- 98% of organizations using AI say it helps reduce alert fatigue.
- 92% agree human oversight remains essential, viewing AI as augmenting rather than replacing analysts.
- 86% believe managed detection and response (MDR) providers integrating AI offer an advantage over traditional services.
| Metric | Percentage |
|---|---|
| Positive impact on security ops | 97% |
| Reduction in alert fatigue | 98% |
| Essential human oversight | 92% |
| Advantage of AI-enhanced MDR | 86% |
What the Numbers Show
The data reveals a distinct divergence between operational satisfaction and executive risk perception. While 97% of respondents confirm positive operational impacts and 92% affirm the necessity of human oversight, executive leaders remain 1.6 times more likely to express strong concern regarding AI governance. This suggests that operational teams view AI primarily through the lens of productivity and efficiency, whereas leadership focuses on data privacy, transparency, and accountability. The gap implies that successful AI deployment now requires aligning operational gains with robust governance frameworks to satisfy board-level risk requirements.
Governance as a Differentiator
Dejan Decklich, Chief Product and Technology Officer at Rapid7, noted that the conversation has shifted from whether AI belongs in the security operations center (SOC) to how it is governed responsibly. Organizations expect transparency and accountability while leveraging AI to accelerate investigations and reduce repetitive work.
Dave Gruber, Principal Analyst at Omdia, added that the next phase of adoption will be defined by trust. Security leaders increasingly seek solutions that combine AI-driven efficiency with transparency and human expertise. The full report, AI, SOC Transformation, and How AI-Enabled MDR Providers Are Helping Accelerate Velocity, is available on Rapid7’s website.
How might the growing governance gap between executives and operational teams impact the speed of AI adoption in security operations centers?
What specific regulatory frameworks or industry standards are likely to emerge to address executive concerns regarding AI vendor data handling and transparency?
Will the demand for AI-enhanced Managed Detection and Response (MDR) services accelerate as organizations seek to outsource governance complexities?






























