Intercept and block malicious package versions before they execute, closing the hours-long gap between compromise and detection.
Added Apr 12, 2026
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Software supply chain attacks on package registries like npm are accelerating, with compromised packages deploying malware within seconds of publish while existing security tooling takes hours to detect threats. Developers currently have no interception layer — running npm install blindly executes postinstall scripts, downloads payloads, and calls home before anyone notices. High-profile incidents like the Axios compromise (100M+ weekly downloads) demonstrate that static analysis and manual review are far too slow.
A runtime package installation guard that sits between the developer and the package registry, intercepting installs in real-time. It combines manifest diffing, sandboxed install execution with network monitoring, behavioral pattern matching, and kernel-level observability (e.g., eBPF) to flag suspicious packages before they touch the host system. Packages are scored and blocked or quarantined automatically, closing the detection window from hours to seconds.
Major supply chain attacks (Axios, xz-utils, ua-parser-js) are hitting mainstream packages with increasing frequency, and recent high-profile incidents have created urgent demand for proactive defenses. Regulatory pressure (EU Cyber Resilience Act, US executive orders on software supply chain security) is pushing organizations to adopt automated safeguards.
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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.
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