AI Indexes
IT AI Index
Index › Network and edge › Microsegmentation › Faddom vs Zscaler Private Access
Microsegmentation · October 2026 Edition

Faddom vs Zscaler Private Access

Zero of fourteen models named Faddom first on the direct prompt; one named Zscaler Private Access. Faddom was named by nine of the fourteen models and Zscaler Private Access by eight and Faddom carries 11 labels and Zscaler Private Access 14, so the shares are not directly comparable.

Faddom

accepted challenger

Named in two categories this edition.

Zscaler Private Access

accepted challenger

Named in three categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 9; printed, not drawn.
Labels1114A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Faddom reading right to left. Rank and label count are printed, not drawn.ColorTokens Xshield was named alongside these two in twelve of the fourteen direct answers. ColorTokens Xshield vs Faddom · ColorTokens Xshield vs Zscaler Private Access · Illumio Segmentation vs Faddom

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FaddomFirst choices, of fourteen modelsZscaler Private Access
Direct011 against Faddom
Paraphrase00
Comparative00
Budget-constrained30
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Faddom and Zscaler Private Access stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Faddom Zscaler Private Access first choice named as an alternative argued againstblank: not namedEach cell is one answer, Faddom on the left and Zscaler Private Access on the right.

The direct prompt

The plain question, one answer per model, grouped by where Faddom and Zscaler Private Access stood in it.

Zscaler Private Access first, Faddom not the choice

1 of 14 modelsFaddom was named in the answer but not as the choice, or not at all.
Perplexity SonarColorTokens Xshield, Zscaler Private Access alternatives: Akamai Guardicore Segmentation, Cisco Secure Workload, Illumio Segmentation

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashColorTokens Xshield alternatives: 6sense, Faddom, HubSpot, SideChannel, Zero Networks Segment
Grok 4.1 FastColorTokens Xshield alternatives: Akamai Guardicore Segmentation, Illumio Segmentation, Zscaler Private Access

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5ColorTokens Xshield alternatives: Akamai Guardicore Segmentation, Cisco Secure Workload, Illumio Segmentation, Zero Networks Segment
GPT-5.4 miniIllumio Segmentation alternatives: Akamai Guardicore Segmentation, Zero Networks Segment
Mistral SmallColorTokens Xshield alternatives: Akamai Guardicore Segmentation, Elisity, Illumio Segmentation
DeepSeek V4 FlashColorTokens Xshield alternatives: Akamai Guardicore Segmentation, Illumio Segmentation
Llama 4 MaverickColorTokens Xshield
Qwen 3.7 FlashAkamai Guardicore Segmentation, Illumio Segmentation alternatives: ColorTokens Xshield
Kimi K2ColorTokens Xshield alternatives: Akamai Guardicore Segmentation, SideChannel Enclave
GLM 4.7 FlashXColorTokens Xshield alternatives: Akamai Guardicore Segmentation, Illumio Segmentation
MiniMax M2.5ColorTokens Xshield alternatives: Illumio Segmentation
GPT-6 LunaIllumio Segmentation alternatives: Akamai Guardicore Segmentation, Cisco Secure Workload
Muse Glimmer 30BColorTokens Xshield alternatives: Akamai Guardicore Segmentation, Cisco Secure Workload, formerly Tetration, Illumio Segmentation

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.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Faddom leads by four points.
Faddom6%#3 of 10
Zscaler Private Access1%#9 of 10
The full small business standing →
Mid-marketThe figures above
Faddom leads by four points.
Faddom5%#4 of 9
Zscaler Private Access2%#6 of 9
The full mid-market standing →
Enterprise
Faddom is not named for this buyer.
Zscaler Private Access2%#8 of 9
Faddom—not named
The full enterprise standing →

What the models said about Faddom

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Mapping only, not full enforcement” DeepSeek V4 Flash · direct prompt · soft negative
“The best microsegmentation solution for a company with a limited budget is Faddom, which is a budget-friendly dependency mapping tool.” Llama 4 Maverick · budget prompt · first choice
“For a company with limited budget, I'd recommend starting with Faddom” MiniMax M2.5 · budget prompt · first choice
“start with Enclave (free) or Faddom (low-cost)” Mistral Small · budget prompt · first choice

What the models said about Zscaler Private Access

No label in this category carried a quote.

Also compared

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.