Intercept and block malicious npm packages before they install, protecting your dev machines and CI/CD pipelines from supply chain attacks in real time.
Added Apr 23, 2026
/ 100
Very low opportunity
See how signal quality, demand and competition contribute to this score, with supporting evidence and the full calculation.
Loading score details
Supply chain attacks on npm packages like axios, Bitwarden CLI, and others have compromised millions of developer machines and CI/CD pipelines, often with attack windows of just hours. Traditional static analysis and SCA tools catch threats too slowly — the axios RAT was live for ~3 hours before detection, executing silently at install time and erasing itself. Developers have no interception layer between `npm install` and a potentially malicious postinstall script.
A drop-in npm proxy and package manager wrapper that intercepts every install, validates packages in real time against a threat intelligence feed, and sandboxes install scripts before execution. It combines manifest diffing, behavioral analysis (network calls, file access patterns), and cryptographic provenance checks against known-good release pipelines — blocking or alerting before any malicious payload executes. A lightweight CI/CD integration adds the same protection to GitHub Actions, GitLab CI, and other runners with a single line of config.
March 2026 alone saw major compromises across axios, Bitwarden CLI, litellm, and Trivy, affecting hundreds of millions of weekly downloads and reaching critical infrastructure at companies like OpenAI. The frequency and sophistication of npm supply chain attacks has sharply accelerated, creating urgent demand for tooling that goes beyond advisory notifications and actually stops attacks at install time.
What brought you here?
What would you like to see?
Trend snapshot pending
Showing 1-20 of 136 signals
Beyond known vulnerabilities, we protect the integrity of the software supply chain itself. Modern software is assembled more than it is written, and every dependency is a potential way in for attackers. Securing it means knowing what's in our software, where it came from and whether it can be trusted. Our work here includes building and analyzing software bills of materials (SBOMs), verifying package provenance and build integrity, and detecting malicious or compromised packages before they rea
New vulnerabilities are disclosed every day in the software AWS depends on, and finding and fixing them by hand doesn't scale. We build systems that detect vulnerabilities and work out whether the vulnerable code can actually be reached and exploited in a given service. They rank issues by real risk rather than raw severity scores, then fix them automatically. That can mean upgrading dependencies across ecosystems like Java, Python, JavaScript, Go and Rust, fixing breaking API changes, backporti
Architect and scale automated security gates in CI/CD pipelines (SAST, DAST, IAST, software composition analysis, container image signing, and SBOM tracking). Define policy-as-code (e.g., OPA/Rego, Cedar) frameworks to enforce deterministic security baselines across service deployments.
Go beyond the grade and inspect the evidence behind this opportunity.
Job ads
See which companies and roles are investing in this problem.Podcast evidence
Read the exact transcript passages behind the idea.Reddit discussions
See the original problems, requests, and conversations.