Socket analyzes the packages you install. Kusari analyzes the software you ship, assembled from your source and build artifacts — including the vendor software you bought and the internal packages you wrote. That difference in where the data comes from is why Kusari can show what a component is and where it came from, where a scoring tool can only rate it. If you bought Socket to stop a malicious package reaching a developer's machine, it does that well, and Kusari is the inventory and evidence layer underneath it.
A good deal of this overlaps. The differences gather around what the analysis is built from, and around which plan a capability sits on.
| Capability | Kusari | Socket |
|---|---|---|
| Vendor-supplied SBOM ingestion | Yes | No |
| Full-depth transitive dependency knowledge graph | Yes | No |
| Portfolio-wide view | Yes | Yes |
| Identify vulnerable dependencies | Yes | Yes |
| Context-aware vulnerability prioritization | Yes | Yes |
| Identify unmaintained or EOL dependencies | Yes | Partial Limited |
| Identify typosquatted or malicious dependencies | Yes | Yes |
| Identify dependencies with low OpenSSF Scorecard scores | Yes | No |
| Secrets detection | Yes | Yes |
| GitHub workflow security analysis | Yes | Partial Business or Enterprise plans |
| Open source license policy enforcement | Yes | Yes |
| Static code analysis (SAST) | Yes | Yes |
| SBOM generation including transitive dependencies | Yes | Partial Business or Enterprise plans |
| Infrastructure as Code misconfiguration detection | Yes | No |
| Reachability analysis from live call graph | Yes | No |
| VEX document generation | Yes | Yes |
| Automatic agentic AI remediation of vulnerabilities | Yes | No |
| Capability | Kusari | Socket |
|---|---|---|
| Configurable alerting | Yes | Yes |
| GitHub App available | Yes | Yes |
| GitHub Action available | Yes | Yes |
| GitLab integration | Yes | Partial Enterprise plan only |
| Self-hosted source code management support | Yes | Partial Enterprise plan only |
| CLI tool available | Yes | Yes |
| SARIF output | Yes | Yes |
| Proceed / do not proceed recommendation | Yes | Yes |
| Designed to integrate into existing workflows | Yes | Partial Limited |
| Webhook support | Yes | Partial Business or Enterprise plans |
| Historical insights | Yes | Partial Business or Enterprise plans |
Socket was built for a specific attack, and it catches it. Teams who bought it for that reason got what they paid for.
It looks at what a package actually does. Install scripts, network calls, filesystem access, obfuscated code. A CVE feed can only tell you about a problem somebody has already written up, and a malicious package is new by definition.
It moves quickly on novel threats. The window between a malicious package landing on a registry and someone installing it is short, and behavioral detection closes that window in a way advisory data cannot.
It sits where the risk enters. Blocking at install keeps a compromised package off a developer's machine, which is upstream of everything else on this page.
Developers get a verdict they can act on. A pull request that says which dependency is a problem and why is a different conversation from a dashboard nobody opens.
The blind spots follow from the starting point. Socket reasons about packages you install, so anything that arrived another way sits outside it.
The software you bought is invisible. Vendor-supplied SBOMs have nowhere to go, so commercial software and the internal packages your own teams wrote stay outside the picture. For most enterprises that's a large share of what actually runs in production, and it's the part an auditor asks about first.
There's no full-depth transitive graph underneath. Scoring a package is a different job from resolving what your build actually pulled in, several layers down, and keeping that current as code moves. Without the graph, the blast-radius question after a disclosure stays a search across repositories.
Nothing removes the findings you can't be hit by. There's no reachability analysis from a live call graph, so a vulnerability in a package you import but never call still occupies a place in the queue. That's the mechanism most teams use to get a backlog down to a size they can work.
Provenance signals are missing. Low OpenSSF Scorecard scores go unflagged, and infrastructure as code goes unanalyzed, so two of the places supply chain risk arrives are outside the check.
Several capabilities sit on higher plans. SBOM generation with transitive dependencies, GitHub workflow analysis, webhooks and historical insights are on Business or Enterprise, with GitLab and self-hosted source control on Enterprise. If you run GitLab, or a self-hosted forge, the entry plan may not be the one you were quoting from.
The data comes from your source and your build artifacts, so the graph covers software that never came from a public registry.
Kusari assembles one continuously updated graph from the source and build artifacts across every repository connected to it. Vendor-supplied SBOMs get ingested into that same graph, alongside the internal packages your teams wrote and the findings from scanners you already own — the intelligence layer above your existing stack. That's what makes it possible to show what a component is and where it came from, with the evidence attached.
Kusari Score ranks across the estate. Technical severity weighed against how widely the affected component is used everywhere you run it, adjusted for whether anyone is exploiting it. A CISA KEV listing sets a floor of 9 out of 10, and EPSS sets one where there's no KEV entry.
Reachability analysis works from a live call graph. It asks whether the vulnerable function is used at all, whether user input can reach it, and whether it's production code or test-only. When the path can't be hit, that application comes out of the calculation and the finding comes off the active list with its reasoning on the record.
Fixes are traced to root cause. One pull request covering code, config and lockfile, with CI run against the change and a separate inspection agent re-scanning the result for anything the fix introduced. Anything it isn't confident about gets escalated instead of shipped.
All of it is in every plan. SBOM generation, GitLab and self-hosted source control, webhooks, workflow analysis and historical insights don't sit behind a tier.
Kusari's founders co-created the open standards now used by Google, Microsoft, Intel, Citi and Red Hat to secure their own supply chains.
If install-time blocking is doing its job, leave it doing its job.
Kusari ingests and normalizes findings from scanners you already own, so Socket can carry on as an input to the graph. The two sit at different points in the same pipeline, and the usual first step is running both for a few weeks and comparing what each one surfaces on your own estate. If Socket isn't the only thing you're weighing, you can compare Kusari against other supply chain security tools on the hub.
Three things worth planning for:
Building the graph from source needs CI access, so this starts with a conversation with whoever owns your pipelines. Most teams go repo by repo instead of all at once, which makes it a smaller ask than it sounds.
Vendor SBOMs are usually sitting in an inbox or a shared drive somewhere, unread. Getting them into the graph is what turns the commercial software in your estate from a gap into an inventory, and it's worth starting that hunt early.
Reachability analysis takes unreachable findings off the active list instead of leaving them to be triaged again next quarter. Nothing is deleted, and every removal keeps its reasoning on the record.
For install-time malicious package blocking, no. Socket does that well and Kusari doesn't try to replace it. What Kusari adds is the layer underneath: a graph of everything you ship, assembled from your source and build artifacts, including the vendor software you bought and the internal packages you wrote. Socket scores a package; Kusari can show what a component is and where it came from.
Kusari identifies typosquatted and malicious dependencies, and flags them in the pull request before a change merges. If install-time blocking on developer machines is working for you, keep it. The two sit at different points in the same pipeline, and teams often run both.
The software you didn't install from a public registry. Vendor-supplied SBOMs get ingested into the same graph as everything else, so the commercial software and internal packages in your estate stop being a blind spot. Kusari also carries a full-depth transitive dependency graph, flags low OpenSSF Scorecard scores, analyzes infrastructure as code, and runs reachability analysis from a live call graph to take unreachable findings off the list.
It does, and it's worth checking against your own quote. Several capabilities you might assume are included with Socket sit on its Business or Enterprise plans: SBOM generation with transitive dependencies, GitHub workflow analysis, webhooks and historical insights, with GitLab and self-hosted source control on Enterprise. Kusari includes those in every plan.
Yes, and that's the normal arrangement. Kusari ingests and normalizes findings from scanners you already own, so Socket becomes an input to the graph instead of a second console. Running them alongside each other for a few weeks on your own estate is the most reliable way to see what each one catches.
Less than thirty minutes on a public repository. We run it live, you watch, and you keep any pull requests it opens.
We run Kusari on a public repo of your choice, live, for thirty minutes. It resolves the dependency tree, sorts what's affected from what isn't, and ranks what's left by Kusari Score. If you want us to, we'll open pull requests for anything currently open and fixable before the time is up, and you keep those whether or not you decide to keep talking to us.