Three of fourteen models named Illumio Segmentation first on the direct prompt; zero named Zero Networks Segment. Illumio Segmentation was named by fourteen of the fourteen models and Zero Networks Segment by thirteen and Illumio Segmentation carries 55 labels and Zero Networks Segment 31, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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; every quote names the model and the prompt it came from. Both figures come from the microsegmentation page.
Across every category in the October 2026 Edition, Illumio Segmentation and Zero Networks Segment were named in the same answer seventy-seven times, of the 169 answers naming Illumio Segmentation and the 95 naming Zero Networks Segment. In those answers Zero Networks Segment took the first choice thirteen times and Illumio Segmentation forty.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“host agent-based solutions (like some older versions of Illumio, Guardicore, ColorTokens, or TrueFort) can be effective, they require deploying and maintaining agents on every workload” Mistral Small · negative prompt · soft negative
“While technologies like Illumio or Guardicore use this effectively, you should be cautious if your environment has strict stability requirements” Qwen 3.7 Flash · negative prompt · soft negative
“Illumio's core enforcement still requires an agent on every workload... unmanaged OT and IoT devices only receiving monitoring, not enforcement.” Claude Haiku 4.5 · negative prompt · soft negative
“If you want workload-centric segmentation across hybrid cloud with label-based policy and no inline appliances, Illumio is the reference.” Muse Glimmer 30B · comparative prompt · first choice
“Illumio (or Cisco Secure Workload if you're already Cisco‑shop) gives you the most granular, automated policy model.” MiniMax M2.5 · comparative prompt · first choice
“Choose Illumio if you want the clearest policy-by-label model and strong visual mapping of workload communication.” Perplexity Sonar · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Zero Networks' MFA-centric model may not suit every environment... with Kubernetes segmentation still maturing.” Claude Haiku 4.5 · negative prompt · soft negative
“Emerging; less mature integrations” Grok 4.1 Fast · comparative prompt · soft negative
“Prioritize modern, identity/label-based tools (e.g., Calico for K8s, Zero Networks for simplicity)” Grok 4.1 Fast · negative prompt · first choice
“I recommend Zero Networks.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Zero Networks (Runner-Up) - Best if: Your company is cloud-heavy or you want zero-trust segmentation” GLM 4.7 FlashX · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.