Eliminate false negatives
Get an accurate picture of your risk by scanning direct and transitive dependencies, including phantom dependencies.
Reduce false positives and noise
Combine function-level reachability with EPSS and more to find out which OSS components are actual threats.
Broad language support
Implement SCA for Java, Python, Rust, JavaScript, Golang, Ruby, .NET, Scala, PHP, Bazel...with more on the way.
Traditional SCA
Visibility
Full view of all direct and transitive dependencies including ones not declared in manifest files.
Limited to dependencies declared in the manifest.
Accuracy
By using source code as the ground truth and applying program analysis techniques, Endor Labs can pinpoint every direct and transitive dependency in use, down to the functions being called by your application.
Frequently misses discovering dependencies (phantom dependencies), or guesses incorrect versions.
Cost of remediation
Provide early feedback as new dependencies are being evaluated, intervention with pull-request comments, or policy enforcement in CI pipelines. Only take disruptive action (i.e. break builds) when the risk justifies it across multiple dimensions — reachable, fixable, exploit maturity, deployed in production, etc.
With no context, engineers spend 1000s of hours each month triaging vulnerabilities based on CVSS scores. Any disruptive action such as breaking builds can halt productivity and cause friction with development teams.
Selection
Endor Labs provides risk scores based on the popularity, activity, quality, and security of millions of open source packages, so developers can select safer dependencies from the start.
Manifest-based SCA tools typically do not look at risks beyond known vulnerabilities and licenses.
Endor Labs reduced our SCA alerts by 76%, which let us give back 11,424 development hours.”
Endor Labs reduced our SCA alerts by 76%, which let us give back 11,424 development hours.”
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