Onam vs Snyk
If Snyk is on your list next to Onam for code security, the useful framing is that the two start from opposite ends: Snyk, by its own description below, from where code is written; Onam from the platform that already watches your cloud. These are the questions that decide which end your team needs first.
How to read this page. Everything said about Snyk 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 Snyk the same seven.
Snyk, 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 If a page has changed, the quote is out of date, not invented — tell us and we will update it.
“Snyk’s AI-native and agentic platform helps organizations secure and govern development to unleash productivity, reduce business risk, and accelerate software delivery for the age of AI.”
Source: snyk.io/platform, accessed 5 October 2026.
“Find and auto-fix vulnerabilities as you code, with in-line remediation recommendations right in your IDE and pull requests.”
“Scan, and automatically remediate source code issues with pre-screened fixes in seconds to minutes, build-free in the IDE and pull requests.”
Source: snyk.io/product/snyk-code, accessed 5 October 2026.
The seven questions
Our answers. Put the same list in front of Snyk.
- 1
Where does a finding first reach the developer?
After a scan of the repository, in the Onam console. Onam has no editor plugin, CI plugin or pull-request check today: a scan reports, and a pipeline that wants a gate calls the scan API and decides for itself.
- 2
Does a dependency finding know whether the code is running and reachable?
No. Onam ranks a dependency finding by CVSS, EPSS exploit probability, CISA KEV membership and whether a fix exists — not by call-graph reachability, and it does not yet link the finding to the workload running that code.
- 3
How does it decide which code findings are real?
By what each rule can prove. Findings from taint and AST rules are listed as security issues with their own severity; pattern-rule matches are listed separately as hotspots to review and capped at medium, so they cannot bury a proven flaw.
- 4
Are IaC templates judged by the same rules as the running cloud?
No. Terraform, Kubernetes YAML, CloudFormation and Dockerfiles in the repository are checked in the same scan as the code, using an IaC rule set of their own — separate from the rules the posture engine applies to deployed resources.
- 5
Where does secret detection look?
Every file in the current state of the scanned branch, using community and Onam secret patterns for cloud keys, private keys, SaaS tokens and hard-coded credentials. It does not scan git history or test whether a credential is live.
- 6
What does an automated fix actually do?
AI Code Fix rewrites each source file flagged by static analysis with a large language model and pushes the result to a separate branch. It opens no pull request, merges nothing and deploys nothing, and today it is run with you on request rather than from a console button. The full content of each affected file is sent to the model, which is worth knowing before you use it.
- 7
What does it cost the team on day one?
A repository address and a scan. Nothing blocks a build, so the first week is reading findings, not negotiating exceptions with every team whose pipeline went red.
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: Snyk is built to meet developers where they write code — in the editor and the pull request, in its own words above. Onam does not run in the editor, and our AI Code Fix pushes a branch rather than opening a pull request. If developer adoption at the keyboard is the goal, Snyk is designed for that and we are not. Our case is code, dependency and app testing in the same platform as your cloud posture, with proven findings kept apart from noise.
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 5 October 2026. Onam’s figures come from our published fact set. Quotations are from Snyk's own pages on the dates shown. If anything here is wrong or out of date — including anything about Snyk — tell us at hello@onamsecurity.com and we will correct it.