AI Code Governance for SaaS Teams
Enforce quality and security standards on every pull request — automatically.
The Challenge
SaaS teams are adopting AI coding agents (Copilot, Cursor, Claude Code) for faster development. But AI-generated code can introduce security vulnerabilities, code quality issues, and compliance gaps that slip through code review.
How sentrik Helps
CI/CD Quality Gate
Add sentrik to GitHub Actions or Azure Pipelines. Every PR is scanned against your rules. Critical/high findings block merge. Two lines of YAML to set up.
PR Decoration
Findings posted as inline PR comments on GitHub and Azure DevOps. Developers see issues in context without leaving their workflow.
Custom Rule Packs
Define organization-specific rules in YAML. Enforce naming conventions, architectural boundaries, import restrictions, and complexity limits using regex patterns and file policies across any language. Python projects also benefit from deep AST analysis.
Work Item Traceability
Auto-create GitHub Issues or Jira tickets for findings. Reconcile on every scan. Close items when findings are fixed. Full audit trail.
Organization-Wide Dashboards
Multi-repo dashboards aggregate findings across 50+ projects. Track compliance trends, identify patterns, enforce standards across your org. Long-term metrics database for trend analysis.
Auto-Remediation & Architecture Enforcement
--fix flag automatically applies fixes. --create-pr generates pull requests with remediations. Define architecture rules to enforce import restrictions and module boundaries.
AI Agent Compliance SDK
AI agents call check_code() and get_compliance_context() during generation. Shift compliance left — AI writes compliant code the first time, not after the scan fails.
Quick Start
pip install sentrik
sentrik scan # OWASP auto-enabled
sentrik gate --git-range "origin/main...HEAD" --decorate-pr