# Thinkst Canary vs Illusive Networks: which do AI models recommend for deception, October 2026

IT AI Recommendation Index, October 2026 Edition, Deception technology. Three of fourteen models named Thinkst Canary first on the direct prompt; one named Illusive Networks. Page: https://it-ai-index.com/security/deception-technology/thinkst-canary-vs-illusive-networks/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Thinkst Canary | 37% | #1 of 11 | 5% | 40 | 13 of 14 |
| Illusive Networks | 2% | #7 of 11 | 42% | 12 | 8 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: thinkst canary first (first choices: Thinkst Canary) (alternatives: Acalvio ShadowPlex)
- Gemini 3.5 Flash: thinkst canary first (first choices: Thinkst Canary) (alternatives: SentinelOne Singularity Hologram, Tracebit)
- Kimi K2: thinkst canary first (first choices: Thinkst Canary) (alternatives: TrapEye, Trapster)
- MiniMax M2.5: illusive networks first (first choices: Acalvio ShadowPlex, Illusive Networks)
- Claude Haiku 4.5: neither first, one named (first choices: Deceptive Bytes) (alternatives: Acalvio 360 Deception, Illusive, Thinkst Canary)
- Perplexity Sonar: neither first, one named (first choices: Acalvio ShadowPlex) (alternatives: Fortinet FortiDeceptor, Thinkst Canary)
- Grok 4.1 Fast: neither first, one named (first choices: Acalvio ShadowPlex) (alternatives: Fortinet FortiDeceptor, Thinkst Canary)
- GPT-6 Luna: neither first, one named (first choices: Tracebit) (alternatives: Acalvio ShadowPlex, Thinkst Canary, Zscaler Deception)
- Muse Glimmer 30B: neither first, one named (first choices: Fortinet FortiDeceptor, Rapid7 Incident Command) (alternatives: Acalvio ShadowPlex, Proofpoint, Thinkst Canary)
- Mistral Small: neither named (first choices: Acalvio ShadowPlex, Attivo Networks ThreatDefend)
- DeepSeek V4 Flash: neither named (first choices: Tracebit) (alternatives: Acalvio ShadowPlex, Fidelis Deception, FortiDeceptor)
- Llama 4 Maverick: neither named
- Qwen 3.7 Flash: neither named (first choices: Honeypot.io) (alternatives: Attivo Networks, Cymulate, Microsoft Defender XDR)
- GLM 4.7 FlashX: neither named (first choices: Rapid7 InsightIDR) (alternatives: Acalvio ShadowPlex, Fortinet FortiDeceptor)

## What the models said about Thinkst Canary

- "But pricier than open-source—avoid if truly limited." (Grok 4.1 Fast, budget prompt, soft negative)
- "Too expensive for most small budgets" (GLM 4.7 FlashX, budget prompt, soft negative)
- "For most mid-sized B2B companies with a small SOC, start with Thinkst Canary for quick, high-confidence alerts and low operational overhead" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "Lightweight / Token-Centric Deception (e.g., Thinkst Canary, Tracebit) ... Best For: Mid-market companies with small teams." (Gemini 3.5 Flash, scale prompt, first choice)
- "Thinkst Canary offers a very low entry price, making it an excellent choice for budget-conscious organizations." (Claude Haiku 4.5, budget prompt, first choice)

## What the models said about Illusive Networks

- "Pure network-wide standalone deception from Illusive is essentially sunsetted" (Gemini 3.5 Flash, negative prompt, hard negative)
- "Caution flags: Reviews note it is "heavily focused on Microsoft environments" and has "limited cloud-native capabilities."" (DeepSeek V4 Flash, negative prompt, soft negative)
- "legacy Illusive installs should be treated as end-of-life from a vendor perspective" (Muse Glimmer 30B, negative prompt, soft negative)
- "I recommend requesting demos from Illusive Networks and Acalvio specifically, as they appear most focused on the mid-market segment." (MiniMax M2.5, direct prompt, first choice)
- "Often rated as the best overall deception platform for operational value." (Kimi K2, comparative prompt, first choice)
- "excels at identity and credential deception, providing agentless decoys that disrupt lateral movement" (GLM 4.7 FlashX, comparative prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.