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Container and Kubernetes security · October 2026 Edition

Wiz vs Orca Security

Five of fourteen models named Wiz first on the direct prompt; two named Orca Security. Wiz was named by thirteen of the fourteen models and Orca Security by ten and Wiz carries 35 labels and Orca Security 18, so the shares are not directly comparable.

Wiz

accepted challenger

Named in sixteen categories this edition.

Orca Security

accepted challenger

Named in eleven categories this edition.

First-choice share8%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate14%6%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#6#8A position in a field of 11; printed, not drawn.

Labels3518A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, Wiz reading right to left. Rank and label count are printed, not drawn.Sysdig Secure was named alongside these two in thirteen of the fourteen direct answers. Trivy vs Wiz · Trivy vs Orca Security · Sysdig Secure vs Wiz

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 container and kubernetes security page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.

WizFirst choices, of fourteen modelsOrca Security

Direct521 against Wiz · 1 against Orca Security

Paraphrase001 against Wiz

Comparative61

Budget-constrained001 against Wiz

Scale-constrained00

Negative002 against Wiz

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.

Across every category in the October 2026 Edition, Wiz and Orca Security were named in the same answer 365 times, of the 743 answers naming Wiz and the 427 naming Orca Security. In those answers Orca Security took the first choice twenty-five times and Wiz 108.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Wiz and Orca Security stood in it.

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

Wiz

Orca Security

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Wiz on the left and Orca Security on the right.

The direct prompt

The plain question, one answer per model, grouped by where Wiz and Orca Security stood in it.

Both were the first choice

2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.

Gemini 3.5 FlashOrca Security, Wiz alternatives: Snyk Container, Sysdig Secure, Upwind

MiniMax M2.5Orca Security, Wiz alternatives: Sysdig Secure

Wiz first, Orca Security an alternative

3 of 14 modelsOrca Security was named in the answer but not as the choice, or not at all.

Perplexity SonarWiz alternatives: Aqua Security, Prisma Cloud, Snyk Container, Sysdig Secure

Grok 4.1 FastWiz alternatives: Aqua Security, Orca Security, Sysdig Secure

Qwen 3.7 FlashSnyk Container, Wiz alternatives: Aqua Security, Sysdig Secure

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.

GPT-5.4 miniSysdig Secure alternatives: Wiz

DeepSeek V4 FlashSysdig Secure alternatives: Aqua Security, Red Hat Advanced Cluster Security for Kubernetes, Snyk Container, Trivy, Wiz

GLM 4.7 FlashXSysdig Secure alternatives: Aqua Security, Orca Security, Prisma Cloud

Muse Glimmer 30BAqua Security, Sysdig Secure alternatives: Aikido Security, Orca Security, Prisma Cloud, Snyk Container, Wiz

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5no first choice

Mistral SmallSysdig Secure alternatives: Aqua Security, Red Hat Advanced Cluster Security for Kubernetes, Snyk Container, Uptycs

Llama 4 MaverickSysdig Secure alternatives: Aqua Security, Red Hat Advanced Cluster Security for Kubernetes, Snyk Container, Uptycs

Kimi K2Aqua Security, Sysdig Secure alternatives: Red Hat Advanced Cluster Security for Kubernetes, Snyk Container

GPT-6 LunaSysdig Secure alternatives: Prisma Cloud, Snyk Container

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

Wiz leads by three points.

Wiz#6 of 14

Orca Security#10 of 14

The full small business standing →

Mid-marketThe figures above

Wiz leads by five points.

Wiz#6 of 11

Orca Security#8 of 11

The full mid-market standing →

Enterprise

Wiz leads by two points.

Wiz#4 of 10

Orca Security#6 of 10

The full enterprise standing →

What the models said about Wiz

No label in this category carried a quote.

What the models said about Orca Security

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

“I'd recommend starting with Wiz or Orca for their agentless approach and strong risk prioritization” MiniMax M2.5 · direct prompt · first choice

Also compared

Trivy vs Wiz Trivy vs Orca Security Sysdig Secure vs Wiz Sysdig Secure vs Orca Security Falco vs Wiz Falco vs Orca Security Kubescape vs Wiz Kubescape vs Orca Security Aqua Security vs Wiz Aqua Security vs Orca Security Wiz vs Snyk Container Snyk Container vs Orca Security All twenty-eight head-to-head pages and the full container security standing

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.