# CyCognito: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 31 judge labels across 1 categories by 12 of 12 models. Page: https://it-ai-index.com/vendors/cycognito/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Attack surface management | 2% | 9 | 39% | 31 |

## What the models said for it

- "my default recommendation would be CyCognito if your priority is finding unknown internet-exposed assets quickly and continuously" (GPT-5.4 mini, ASM)
- "Validated, proven-exploitable risk (not just a list) → CyCognito, Randori, or Synack." (DeepSeek V4 Flash, ASM)
- "Very strong on automated attribution and shadow IT discovery, often scaling well for fast-growing mid-market companies." (Gemini 3.5 Flash, ASM)
- "Discovery + active testing + exploit-informed prioritization | Stronger for teams wanting validation built in" (DeepSeek V4 Flash, ASM)

## And against it

- "Avoid enterprise-focused platforms like Cortex Xpanse or CyCognito unless you have complex multi-entity infrastructure" (Kimi K2, ASM)
- "Enterprise tools (CrowdStrike Falcon Surface, CyCognito, Microsoft Defender EASM) are overkill: $50k+ annually" (Grok 4.1 Fast, ASM)
- "require $50,000+/year – these are not suitable for limited budgets" (MiniMax M2.5, ASM)
- "typically overkill (and overpriced) for mid-market companies" (MiniMax M2.5, ASM)

## 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, September 2026 Edition, it-ai-index.com.