# Tracebit vs Fortinet FortiDeceptor: which do AI models recommend for deception, October 2026

IT AI Recommendation Index, October 2026 Edition, Deception technology. Two of fourteen models named Tracebit first on the direct prompt; one named Fortinet FortiDeceptor. Page: https://it-ai-index.com/security/deception-technology/tracebit-vs-fortinet-fortideceptor/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Tracebit | 7% | #3 of 11 | 17% | 18 | 10 of 14 |
| Fortinet FortiDeceptor | 2% | #5 of 11 | 0% | 10 | 7 of 14 |

## The direct prompt, model by model

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

## What the models said about Tracebit

- "User reviews cite concerns about: Confusing, cluttered interface; Difficult navigation; False positives requiring manual review" (Kimi K2, negative prompt, soft negative)
- "G2 review summaries for Tracebit mention a confusing/cluttered interface, false positives, and a higher learning curve." (GPT-5.4 mini, negative prompt, soft negative)
- "While primarily focused on enterprise... check for the latest pricing and suitability for your scale." (Mistral Small, budget prompt, soft negative)
- "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)
- "Top Recommendation: Tracebit" (DeepSeek V4 Flash, direct prompt, first choice)
- "I'd shortlist Tracebit first" (GPT-6 Luna, direct prompt, first choice)

## What the models said about Fortinet FortiDeceptor

- "Rapid7 or Fortinet FortiDeceptor are the most frequently cited value choices" (Muse Glimmer 30B, direct prompt, first choice)
- "Platform-Integrated Deception (e.g., SentinelOne Singularity Deception, Fortinet FortiDeceptor)" (Gemini 3.5 Flash, scale prompt, alternative)
- "Choose FortiDeceptor if your company is already a Fortinet shop or has OT/IoT exposure." (Perplexity Sonar, direct 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.