Five quick wins to stop your software supply chain from leaking

A new guide outlines five practical steps to secure software supply chains, including sandboxing AI agents with Docker Sandboxes, freezing dependencies with a five-day cooldown, using hardened multi-stage builds, generating SBOMs with BuildKit attestations, and enforcing a vulnerability gate with Trivy. The article also introduces a portable SIP skill that enables AI agents to automatically implement these controls, with a sample repository available on GitHub.

Five quick wins to stop your software supply chain from leaking The logic follows the actual flow of code: AI agent /en/tags/ai%20agent/ → dependencies → container build → attestations → vulnerability gate. The technical breakdown If you're looking for a practical tutorial on how to actually lock this down, here is the workflow. 1. Sandbox your AI agents. Running an LLM agent with full shell access to your local machine is a gamble. Whether it's Claude Code /en/tags/claude%20code/ or a custom agent, they can be tricked into exfiltrating .env files or running rogue scripts. Use a microVM like Docker Sandboxes sbx . sbx policy init deny-all This ensures a deny-by-default network policy so the agent can't just phone home your secrets.2. Freeze dependencies. Stop blindly pulling the latest npm packages the second they drop. A five-day cooldown is usually enough to catch "left-pad" style disasters or malicious injections. Action: Use npm ci --ignore-scripts to kill those dangerous lifecycle scripts. Config: Set min-release-age=5 in your npm config. 3. Hardened multi-stage builds. Stop using bloated base images. Switch to hardened versions like dhi.io/node:26 and always separate your build environment from your runtime environment. If your production image doesn't need npm or gcc , it shouldn't have them.4. SBOM and Provenance. You can't secure what you can't see. You need a Software Bill of Materials SBOM and maximum-level provenance for every image. Enable BuildKit attestations in your CI/CD pipeline so every layer is tracked. 5. The vulnerability gate. Scanning is useless if it's just a "warning" that everyone ignores. Use Trivy to scan the SBOM attached to the specific image digest. If there is a "Critical" CVE that has a fix available, the build should fail. No exceptions. Automating this with AI agents The interesting part is that you can actually make your AI agent implement these security controls for you. There is a portable SIP skill available that handles the heavy lifting. To get it running in your agentic client: Install the SIP skill: https://github.com/ContainerSecurity-dev/sip-skill Once the skill is installed, you can just point your agent at a repo and run: $sip SIP it up Implement controls ii through v. This takes the theoretical "best practices" and turns them into actual PRs. For anyone wanting to see a real-world deployment of this, there's a sample repo that shows this entire flow integrated into GitHub Actions: https://github.com/ContainerSecurity-dev/sip It's a straightforward AI workflow: isolate the tool, freeze the inputs, harden the build, and gate the output. Next Stacked PRs will save your reviewers from hating your 3 → /en/threads/6606/