# Lakera Guard: how AI models rank it, October 2026

IT AI Recommendation Index, October 2026 Edition. Named in 16 judge labels across 1 categories by 12 of 14 models. Page: https://it-ai-index.com/vendors/lakera-guard/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| AI security platforms | 0% | 35 | 6% | 16 |

## What the models said for it

- "Lakera Guard is worth testing on a tight budget; its community tier is limited to 10,000 screening requests per month" (GPT-6 Luna, AI security)
- "If your risk is users hacking your customer-facing chatbot, look at Lakera Guard or Cisco AI Defense." (Gemini 3.5 Flash, AI security)
- "Gandalf Guard for prompt injection; real-time runtime defense; excels in production OWASP LLM risks." (Grok 4.1 Fast, AI security)
- "Provides runtime defense for LLMs and agents, focusing on prompt injection and model extraction." (GLM 4.7 FlashX, AI security)

## And against it

- "Custom pricing, typically enterprise-focused with complex deployment" (Kimi K2, AI security)

## In its own words

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

- Positioning: The AI-native security platform to accelerate GenAI initiatives (https://lakera.ai/)
- For: enterprise teams (https://lakera.ai/)
- Free plan or trial: Start for free (https://lakera.ai/)
- Customers named: dropbox, aws, asana, HH, pearson, dfinity, nu, sk-telecom

## What it publishes

Every page lakera.ai exposes, read 2026-09-29: 634 addresses. By kind, pages and the last 90 days:

- blog: 95 pages, 0 in the last 90 days, latest undated
- case study: 2 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 3 pages, 0 in the last 90 days, latest undated
- conference or event: 10 pages, 0 in the last 90 days, latest undated
- comparison: 2 pages, 0 in the last 90 days, latest undated
- template or tool: 1 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 1 pages, 0 in the last 90 days, latest undated

## 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.
