Software Development (GitHub + CI)

Objective

Safeguard software supply chains by detecting anomalous code commits and build pipeline tampering.

Deployment Model

  • GitHub and GitLab webhook listeners.

  • Agents embedded in CI runners (Jenkins, GitHub Actions, GitLab CI).

  • Optional “developer mode” dashboard to visualize code risk metrics.

Key Functions

  • Commit anomaly detection: flags insertions of obfuscated or minified code.

  • Dependency validation: anchors package hashes so that future builds verify provenance.

  • Credential monitoring: detects secrets committed in plain text and revokes them automatically.

Example

An open-source project uses Secure Lattice to monitor pull requests. A new dependency contains a malicious post-install script; the AI Engine flags its behavior, the PoV layer anchors the finding, and the maintainer receives a verifiable report. This prevents supply-chain compromise similar to the SolarWinds incident of 2020.

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