See your open source risk beyond what your tooling shows you

• Exposure window: two packages, same CVE count, one patched in 48 hours, the other open for 14 months. Most tooling treats them identically.
• Third-party viability: tooling doesn't score the health of the upstream projects your dependencies belong to: maintainer activity, release cadence, organizational backing.
• Maintainer concentration risk: a solo maintainer one burnout away from abandonment is a supply chain risk, not a support concern.

• Artifact integrity: most open source releases carry no cryptographic signature, meaning you can't verify what you deployed is what the maintainer shipped.
• License exposure: GPL and AGPL dependencies create legal obligations that typically surface at the worst possible time.
• Transitive dependency exposure: your scanner sees your direct dependencies. It rarely tells you how many vulnerable packages are hiding two or three layers down.

Intake call

We spend 30 minutes understanding your environment: what languages you are running, and how your teams consume open source. No slides. Just a direct conversation.

We do the work

Our team runs an assessment, where we score the most relevant Python, Java, and JavaScript packages across eight dimensions of risk, surfacing the structural vulnerabilities that software supply chain attacks are designed to exploit

Outcomes and plan

We come back with what we found and a prioritized mitigation plan built for your environment. Not a generic framework. A specific plan your team can act on.