# N-able Study Finds AI Security Tools Face Alert Noise and Trust Deficit

- URL: https://stocks.freetheai.org/news/n-able-study-finds-ai-security-tools-face-alert-noise-and-trust-deficit-6e963a
- Published: 2026-10-15T10:00:00Z
- Category: company_news; sentiment: neutral; impact: medium
- Symbols: [NYSE:NABL](https://stocks.freetheai.org/symbols/NYSE-NABL)
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N-able, Inc. (NYSE:NABL) released an independent research study examining cybersecurity challenges among small and medium size enterprises. The survey of 595 industry decision-makers across the United States and United Kingdom found that while 81.0% of organizations increased their adoption of AI security tools in the past year, teams are struggling with rising operational complexity and alert volume.

The surge in security alerts is affecting daily operations, with 86.1% of respondents reporting higher alert volume over the past 12 months and 54.8% stating that alert noise interferes with incident response daily or several times each week. While 87.1% of organizations made policy exceptions to enable AI tools, only 24.5% fully trust autonomous AI remediation without human oversight or clear explainability.

Market participants are watching whether cybersecurity vendors can refine signal precision and cut through operational noise as AI threats accelerate. Shares of N-able, Inc. traded down 1.99% at $4.44.

## Key points

- A survey of 595 cybersecurity professionals found that 86.1% experienced an increase in alert volume over the past year.
- Security tool adoption reached 81.0% in the past year, but only 24.5% of respondents fully trust autonomous AI remediation.
- More than half of respondents report that alert noise disrupts their incident response operations on a daily or weekly basis.
- While 87.1% of organizations made policy exceptions to adopt AI, only 51.9% track all active AI tools in their environment.

## Questions and answers

### What did the N-able research report find regarding security alert volumes?

The study revealed that 86.1% of respondents experienced an increase in security alert volumes over the past 12 months, with 54.8% stating that alert noise disrupts incident response daily or multiple times a week.

### Why are cybersecurity teams hesitant to rely on autonomous AI tools?

Only 24.5% of cybersecurity decision-makers fully trust autonomous AI remediation. Most organizations require full explainability (62.7%) and built-in human overrides (59.8%) before allowing AI tools to operate autonomously.