# Tenable OT Security: how AI models rank it, October 2026

IT AI Recommendation Index, October 2026 Edition. Named in 27 judge labels across 1 categories by 11 of 14 models. Page: https://it-ai-index.com/vendors/tenable-ot-security/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| OT and IoT security | 4% | 7 | 15% | 27 |

## What the models said for it

- "frequently cited as a more budget-friendly option compared to some competitors... Start with a free trial or the most affordable commercial platform (like Tenable OT Security or Acreto)" (Mistral Small, OT/IoT security)
- "Best Overall Value: Tenable OT Security (formerly Tenable.ot)" (DeepSeek V4 Flash, OT/IoT security)
- "Tenable's Tenable One exposure management platform is a comprehensive attack surface management system covering endpoints, cloud environments, OT systems" (Claude Haiku 4.5, OT/IoT security)
- "Complement with vulnerability management such as Tenable OT Security if you need prioritized remediation." (Muse Glimmer 30B, OT/IoT security)

## And against it

- "These are IT-security vendors extending into OT. Their effectiveness depends on how well their OT findings integrate with your existing SOC" (Mistral Small, OT/IoT security)
- "these vendors risk falling behind peers regarding advanced AI-driven detection capabilities" (Qwen 3.7 Flash, OT/IoT security)
- "Tenable.ot has user complaints on asset classification accuracy and sensor bugs" (Grok 4.1 Fast, OT/IoT security)
- "often higher cost for full deploys (~thousands+ annually)" (Grok 4.1 Fast, OT/IoT security)

## In its own words

What Tenable OT Security's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: Tenable One Exposure Management Platform (https://docs.tenable.com/OT-security.htm)
- For: team di sicurezza OT / responsabili della sicurezza informatica (https://it.tenable.com/products/ot-security)
- Customers named: City of Raleigh, University of Miami, Continental AG

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, October 2026 Edition, it-ai-index.com.