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Endor Labs vs. Runtime SCA

Runtime SCA tools, also called dynamic SCA, use code instrumentation, eBPF, or other techniques to observe the application in a running state. This produces accurate results on executed calls, but risks false negatives, or requires 100% test coverage - meaning that every single path must be executed, which is hard to achieve. By the nature of how it works, runtime SCA surfaces risks after the code is executed, and months after it's developed, which is often too little too late.

Eliminate false negatives

Get an accurate picture of your risk by scanning direct and transitive dependencies, including phantom dependencies.

Prioritization without agents

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.

Runtime SCA
Full view of all direct and transitive dependencies including ones not declared in manifest files.
Provides visibility all the way down to OS libraries but is often limited to the code that is executed or tested.
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.
Risks are unreachable until they are executed. This approach is prone to false negatives because it misses seldomly run code, code not covered in test automation, or code that is exploited into a non-standard execution path.
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.
The cost of remediation rises exponentially the further you go from development to production. Due to how runtime SCA works, risks will always be flagged closer to production thereby either delaying releases or causing security debt to keep piling up.
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.
Runtime SCA tools typically do not assist with the evaluation and selection of open source dependencies.

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.”

Greg Pettengill

Principal Product Security Engineer, Five9

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