Code Analysis Tool

The tool inventories source files, dependencies, licenses, and policy-related metadata across languages, producing structured findings with risk scores and remediation guidance. It supports multiple ecosystems (npm, Maven/Gradle, PyPI, Go modules, NuGet, RubyGems, and more) and can run locally or in CI. It identifies defects in code patterns, outdated dependencies, license ambiguities, and non-compliant licenses, providing actionable recommendations for remediation and policy enforcement. It also captures per-file attribution, dependency lineage, and SPDX identifiers to facilitate audits.

Conceptually, it parses package manifests (package.json, pom.xml, build.gradle, pyproject.toml, go.mod, etc.) and scans source files to build a dependency graph. It applies a ruleset that defines policy checks, quality gates, and license constraints, then computes a risk score for each finding based on severity, reach, and exposure. The tool can emit structured outputs including JSON reports and SARIF for integration with security dashboards and ticketing systems. It also supports incremental scans and caching to handle large repositories efficiently.

Beneficiaries include developers, security engineers, OSS program offices, and legal/compliance teams who need timely, prioritized, auditable insights. The value lies in early risk detection, evidence-backed remediation guidance, and repeatable governance reporting. It enables teams to quantify open source exposure, track remediation over time, and demonstrate adherence to policy during vendor reviews and external audits. The tool can be configured to fail builds on high-severity findings, or to surface warnings for lower-priority items in code reviews.

Core features include repository scanning, language-agnostic manifest parsing, license recognition with SPDX alignment, per-file risk scoring, dependency graph generation, and export options (JSON, SARIF, CSV). Use cases include license compliance checks for new dependencies, vulnerability surface assessments in pull requests, and governance reporting for open source programs. Teams can customize rule bundles, ignore lists, and notification channels, and can schedule automated scans to maintain ongoing visibility.