Tech

RSM's Cybersecurity Special Report Finds Middle Market Racing Into AI Faster Than It Can Secure It

As mid-sized businesses rapidly integrate AI into their operations, a widening gap emerges between accelerating innovation and lagging cybersecurity measures, with 75% of middle market companies now leveraging AI, yet only 22% having implemented robust identity controls to mitigate associated risks. This disparity leaves a significant vulnerability to ransomware and data breaches. Governance frameworks are struggling to keep pace with the rapid AI adoption.

Middle market companies are rapidly integrating artificial intelligence (AI) into their operations, but a widening gap is emerging between accelerating innovation and lagging cybersecurity measures. According to RSM US LLP's latest Middle Market Business Index (MMBI): Cybersecurity Special Report 2026, 75% of middle market companies are now leveraging AI, yet only 22% have implemented robust identity controls to mitigate associated risks.

Overview

The report highlights a persistent imbalance between cybersecurity investment priorities and evolving threat patterns. Organizations continue to focus on detection and response, cloud security, and broader risk management functions, yet only 23% prioritize digital identity management, despite identity-based attacks remaining one of the most common entry points for ransomware and breaches.

Tradeoffs

The survey of 501 middle market executives shows that AI adoption is advancing more quickly than governance maturity, with many organizations still relying on early-stage controls as they expand use of generative and automated AI tools across business functions. Only 35% of executives report using formal AI governance frameworks, placing structured oversight well behind adoption trends across the middle market.

When to Use It

The MMBI Cybersecurity Special Report cautions that gaps in identity management, governance frameworks, and control structures may become increasingly consequential, particularly as attackers leverage automation and AI-enabled techniques to scale and accelerate attacks. As organizations expand AI use across core operations, it is essential to prioritize digital identity management and implement robust identity controls to mitigate associated risks.

In conclusion, middle market companies must be intentional about secure AI adoption and prioritize digital identity management to mitigate the risks associated with AI integration. By doing so, they can put themselves in an advantageous position going forward and avoid the consequences of a widening gap between accelerating innovation and lagging cybersecurity measures.

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