One of fourteen models named Akamai Guardicore Segmentation first on the direct prompt; zero named Zero Networks Segment. Akamai Guardicore Segmentation was named by fourteen of the fourteen models and Zero Networks Segment by thirteen and Akamai Guardicore Segmentation carries 51 labels and Zero Networks Segment 31, so the shares are not directly comparable.
Named in two categories 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, Akamai Guardicore Segmentation and Zero Networks Segment were named in the same answer seventy-five times, of the 149 answers naming Akamai Guardicore Segmentation and the 95 naming Zero Networks Segment. In those answers Zero Networks Segment took the first choice thirteen times and Akamai Guardicore Segmentation sixteen.
| 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.
“Avoid first if budget is tight: Akamai Guardicore, because pricing can be a constraint.” GPT-5.4 mini · budget prompt · hard negative
“some users report agent overhead, integration bugs, complex maps/visuals, and accuracy limits in risk detection” Grok 4.1 Fast · negative prompt · soft negative
“Initial mapping complexity and operational overhead... can be overwhelming to organize manually” Gemini 3.5 Flash · negative prompt · soft negative
“Akamai Guardicore Segmentation is a top choice due to its strong east-west visibility, ease of deployment, and support for hybrid environments” Mistral Small · paraphrase prompt · first choice
“Illumio and Akamai Guardicore Segmentation are generally considered the top contenders for this segment” Qwen 3.7 Flash · direct prompt · first choice
“For most mid-sized B2B companies, I'd recommend Akamai Guardicore Segmentation as your primary choice.” GLM 4.7 FlashX · paraphrase 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.