Onam
Run these questions against both

Onam vs Wiz

Wiz is on most cloud security shortlists. If you are evaluating both, here is Wiz in its own published words, and the seven questions worth asking each of us.

How to read this page. Everything said about Wiz here is a quotation from their own public pages, with the address and the date we read it. We do not say what anyone else’s product cannot do — products change monthly, and second-hand assertions age into lies. Then seven questions, answered for Onam only, and plainly where we are not the right choice. Ask Wiz the same seven.

Wiz, in their own words

Quoted verbatim from their public pages. If a page has changed, the quote is out of date, not invented — tell us and we will update it.

Wiz
“Built for cloud and AI, Wiz AI-APP is the platform to secure your AI applications from code to runtime.”
“A single list of prioritized issues of toxic combinations of cloud and AI risk that have a high probability of being exploited.”
“Wiz connects in minutes via API and achieves full coverage across cloud and AI resources”
“Runtime protection from the Wiz Sensor stops threats and provides deep, real-time threat detection.”

Source: wiz.io/platform, accessed 15 September 2026.

The seven questions

Our answers. Put the same list in front of Wiz.

  1. 1

    How many clouds get first-class treatment?

    Posture rules cover seven clouds through one rule engine: AWS, Azure, GCP, OCI, Alibaba Cloud, IBM Cloud and Kubernetes. 11,433 posture rule definitions across 549 cloud services — the all-cloud totals, not a per-cloud figure. Depth is not identical everywhere: some identity analysis, such as unused-permission and shadow-admin detection, runs on AWS today. Ask any vendor for the per-cloud breakdown rather than the headline number.

  2. 2

    Is the analysis cross-cloud, or per-cloud silos side by side?

    One security graph. Engines write their findings and relationships into it, attack-path entry points include other clouds, and federation between clouds is modelled as an edge — so a path can start in one cloud and end in another.

  3. 3

    Agentless — and what does onboarding grant?

    Agentless. Posture scanning connects through read-only cloud roles; agentless workload scanning runs inside your account, using resources deployed there at onboarding. No agent runs on your workloads, and every permission is in a template you can read before you run it. The trade-off is stated in the trust whitepaper: snapshot scanning cannot see inside a running process.

  4. 4

    How does it prioritise — severity labels or business impact?

    By business impact as well as severity. Each finding gets a FAIR-style loss estimate — a minimum, likely and maximum figure from exploit likelihood, exposure, records at risk, data sensitivity, asset value and applicable regulations — raised for findings that sit on attack paths. Ask to see the inputs, not just the ranking.

  5. 5

    Does it connect findings across engines?

    Yes, on one graph. Attack-path edges come from posture, identity, network, data and threat-detection evidence, and only edges confirmed by that evidence are walked. The chain that reaches your data is usually several ordinary findings in a row, none of which a single rule would rank first.

  6. 6

    Is compliance evidence continuous or point-in-time?

    Findings are mapped to 78 compliance frameworks and the scores are recomputed from the latest findings on every scan, with evidence per control, a trend per framework and PDF, CSV or Excel export for your auditor.

  7. 7

    Does coverage span code to runtime?

    Code Security (SAST, secrets, IaC, dependencies and DAST), posture, attack paths, identity (CIEM), data, containers and Kubernetes, SaaS posture across 8 platforms, and cloud detection and response — 29 engines on one platform. Code findings are reported on their own today rather than traced to the workload they deploy.

Where we are not the right choice

A comparison page that hides its own limits is marketing, not evaluation. Weigh this one.

The honest gap

The honest gap: we are a young company with no public reference customers yet, and no runtime sensor. If proven scale at enterprise size or inline runtime blocking is your first filter, that filter does not select us today.

Do not take our word for any of it

Run a scan against one account and tell us whether the attack paths we surface are real. If they are noise, we want to hear that — it is more useful to us than a signature. That is the same offer we make to everyone, and it is the only claim on this page you can check yourself today.

Other comparisons

Building a shortlist instead? Wiz alternatives in 2026 and the best CSPM tools in 2026, every vendor in its own published words.

Last reviewed 15 September 2026. Onam’s figures come from our published fact set. Quotations are from Wiz's own pages on the dates shown. If anything here is wrong or out of date — including anything about Wiz — tell us at hello@onamsecurity.com and we will correct it.