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Snyk answers whether it is vulnerable. Hanu answers whether it reached you.

Snyk is the better code and dependency scanner, and nothing here claims otherwise. The two products answer different questions, which is why the honest configuration for most teams is both: Snyk for whether a dependency is vulnerable and how to fix it, Hanu for whether the vulnerable thing was built, deployed or used against something that matters.

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Hanu is not a software composition analysis engine and should not be judged as one. It has no curated vulnerability database of its own, no automated upgrade pull requests, and no in-editor feedback for dependency findings. What it has is a different input: scanner output treated as one signal type among 166, joined to whatever else your estate was doing at the same time.

Where the other tool wins

On the scanner's own terms, the comparison is not close, and pretending otherwise would waste your afternoon.

  • Scan depth and the database behind it. Snyk's dependency, container, infrastructure-as-code and code scanning content is deeper than anything Hanu ships. It is a scanner first; that is the entire job, and it is done well.
  • The fix experience. Automated fix pull requests, safe upgrade paths and pull-request annotations are a product surface in their own right. Hanu proposes a mechanical fix where one exists and routes the rest as work; that is not the same thing and we will not describe it as if it were.
  • Developer experience. In-editor feedback and IDE plugins meet developers where they already are. A check run on a pull request is a good surface; an editor is a better one, and teams that like Snyk will not like Hanu more on this axis.
  • Ecosystem coverage kept current by a dedicated team. Language, package manager and advisory coverage is a maintenance burden that a scanner vendor carries full time. Matching it with a self-hosted stack is not a trade most teams should make.
  • Recognition in diligence. AppSec tooling from a known vendor is simpler to explain in a customer questionnaire about how you manage dependencies, and that is a real cost avoided.

Where Hanu fits

A scanner answers a question about a package. Hanu answers a question about your environment, which needs inputs a scanner does not read.

  • Scanner output is a signal, not a verdict. Findings arrive through the scan-ingest plugin interface and become typed signals - DEPENDENCY_VULNERABILITY, CONTAINER_IMAGE_VULNERABILITY, OSS_DEPENDENCY_RISK, CI_PIPELINE_FINDING - with the resource, principal, account and confidence attached. From that point they are treated exactly like every other signal on the bus.
  • Reach is the missing half. A vulnerable dependency is a fact about a version. Whether it was built into an image that runs with a deploy credential, whether the release that carried it had no provenance, and whether a first-ever credential validation followed by model enumeration happened in the same week: those are joins across registry, CI, cloud and identity data, and they are what the 75 correlation rules are for.
  • Deterministic scoring. The compound score is arithmetic rather than a model, so two analysts reading the same chain get the same number, and the chain carries the rule id and every contributing signal. Nothing in that path is an LLM.
  • The gate, not just the report. Findings can be returned as a GitHub check run, a GitLab job, or a CircleCI or Jenkins step, so the reach question is asked on the diff while a fix is still cheap. Hygiene rules such as unpinned actions are opt-in per repository for exactly that reason.
  • In your account, under ELv2. Eight services, 0 bytes of telemetry egress, source-available under the Elastic License 2.0 with a Community edition that is $0 in production. The rules that decide whether a merge is blocked are readable by the engineers it blocks.
  1. 01

    A scanner reports a vulnerable dependency

    Snyk, Semgrep, Trivy or Tenable output arrives through the scan-ingest interface and becomes a typed signal on the bus, carrying the package, the version and the asset it belongs to.

  2. 02

    Correlation checks the same window

    Tier-2 rules look for what else happened around that asset: a release with missing provenance, a workflow change in a repository holding credentials, an image that is unsigned, a credential used for the first time against a model API.

  3. 03

    One risk, or nothing

    If a chain forms, the result is a single ranked risk with the evidence list attached. If nothing joins, the finding stays a finding - which is the correct outcome for most advisories, most weeks.

  4. 04

    Feedback where the fix happens

    Code-level remediation returns to the forge as a check run, and tracked work goes to Jira or ServiceNow, so the dependency question and the reach question end in the same place.

QuestionCode and dependency scanner (Snyk)Hanu
Is this version affected by a known vulnerability?Yes, with a curated database and a fix pathOnly through ingested scanner output; Hanu ships no advisory database of its own
Did the vulnerable thing reach a build, an image or a running workload?Not its questionYes, joined from registry, CI, container and cloud credential signals
Is there a fix pull request?Yes, automated where a safe upgrade existsMechanical fixes are proposed as pull requests; the rest becomes tracked work
Where does the finding appear?IDE, pull request and consoleGitHub check run, GitLab job, CircleCI or Jenkins step, plus the risk ledger
Custom rulesVendor policiesDeclarative rules in the repository, with ATT&CK mapping and tests
Cross-domain contextWithin code and container scope32 domains including cloud posture, identity and certificate trust
Which question each product answers.
Code and dependency scanner (Snyk)Hanu
DeploymentVendor-hosted service8 services in your account, from one compose file
Data residencyVendor tenancyYour datastores, inside your boundary
Telemetry egressSource, dependency and finding data leave your environment0 bytes of telemetry leave your account
LicenceCommercial subscriptionElastic License 2.0, source-available; Community edition $0 in production
Who runs itThe vendorYou, or us on a managed instance in Growth and Enterprise
Fix automationAutomated upgrade pull requests are the strengthMechanical fixes only; the rest is routed to your tracker
Content cadenceManaged and continuousWith each release in Community; a continuously updated feed in Growth
Deployment, data and licence, without euphemism.

Verdict

Keep Snyk if you are an AppSec lead, a security engineering manager or an engineering leader whose problem is the dependency backlog itself: known-vulnerable packages, the upgrade path, and developers who need to be told in their editor. That work is real and Hanu does not do it. Add Hanu if you are the CISO or the platform lead who has to answer which of those findings is actually reachable - which one was built into an image running with a deploy credential, or carried by a release nobody reviewed - and in what order they should be fixed. Replacing Snyk with Hanu would remove a capability you need; running both is the configuration this page recommends and the one the ingest plugins exist for.

What AppSec teams ask

Do you scan dependencies yourselves?
Not at arm's length. Hanu ingests results from Snyk, Semgrep, Trivy and Tenable through the scan-ingest plugin interface and treats them as typed signals. If you want a scanner with its own advisory database, keep the scanner you have.
Is Hanu a drop-in replacement for Snyk?
No. There is no advisory database, no automated upgrade pull request and no editor plugin for dependency findings. What exists is correlation: the join between a package problem and the environment it landed in.
What exactly does the pull-request gate evaluate?
The correlation rule set rather than the full organisation scan, plus opt-in hygiene checks such as unpinned actions. The gate is enabled per repository, so nothing blocks a merge until you decide it should, and you can read every rule that runs.
What about SAST?
Hanu ships no static analysis engine of its own and Semgrep results can be ingested instead. The honest framing is that this is a correlation product with an ingest surface, not a scanner with a correlation feature bolted on.

Run it in your own account

One Docker Compose stack, your datastores, read-only credentials into your clouds. The Community edition is free to run in production.