Intercept and verify npm, pip, and other package installs before malicious code executes on your machine or CI/CD pipeline.
Added Apr 16, 2026
Supply chain attacks on npm and PyPI are accelerating — compromised maintainer accounts push malicious package versions that execute payloads within seconds of `npm install`, exfiltrating CI secrets, AWS credentials, and signing keys before anyone notices. Existing SCA tools catch attacks hours later via static analysis, long after the damage is done. Developers and DevOps? teams have no real-time interception layer between `npm install` and code execution.
A lightweight agent that wraps package manager commands (npm, pip, cargo, etc.) and performs pre-install verification: manifest diffing against known-good baselines, sandboxed install-time network behavior analysis, and streaming comparison against a continuously updated threat intelligence feed. Suspicious packages are blocked before postinstall scripts fire, with instant Slack/PagerDuty alerts and an audit trail per install event. A SaaS? backend aggregates threat signals across all customers to detect zero-day compromised packages faster than any single team could.
The March–April 2026 wave of attacks (axios, litellm, Trivy, Chalk/Debug, GlueStack) hit packages with 50M–300M weekly downloads and compromised North Korean APT-linked infrastructure, pushing supply chain security from niche concern to board-level risk. Developer awareness is at an all-time high, creating immediate demand for turnkey protective tooling rather than manual remediation guides.
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Develop and manage CI/CD pipelines for continuous integration and deployment. Automate security monitoring and vulnerability remediation using scripting and security tools.
Developer toolchain security, including CI/CD pipelines, software supply chain risks, and developer-facing guardrails. The implementation of security as code, replacing manual processes and ticket-based controls with scalable automation.
Supply chain security is having its moment and every vendor has a pitch, but most of what we've tried just adds another feed of alerts on top of the ones we already ignore. dependency confusion and malicious packages are the obvious risks, but build pipeline tampering is just as real and a lot harder to catch, and the tooling landscape hasn't caught up to prioritizing any of it well. What's worked for teams here in terms of cutting signal from noise rather than just adding another layer of detection?
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