Rafter: A SaaS Security Platform That Scans on Every Commit
Written by the Rafter Team
A SaaS security platform delivers vulnerability scanning as a cloud service — no servers to provision, no scanners to update, no infrastructure to maintain. You connect your repository, and the platform handles execution, rule updates, and results delivery. Rafter is built on this model, running SAST, secrets detection, and dependency analysis on every commit with zero self-hosted components.
Self-hosted security scanners fall behind on rule updates within weeks. SaaS platforms push detection rules continuously, closing the gap between CVE disclosure and scanner coverage.
Try Rafter's SaaS security platform free — connect your repo and scan in under two minutes.
Why SaaS Over Self-Hosted Security Tools
Self-hosted scanners create operational burden that scales with your team. Someone has to maintain the servers, update the scanning engines, manage the database of vulnerability signatures, and keep the integration layer working as your CI/CD stack evolves. That overhead compounds across every tool in the security stack.
A SaaS security platform eliminates all of it:
- No infrastructure — scanning runs on managed compute. You never provision, patch, or scale scanner instances.
- Continuous rule updates — new vulnerability patterns and detection rules deploy automatically, often within hours of public disclosure.
- Elastic scaling — scan capacity adjusts to your commit volume. Monday morning pushes don't queue behind a single overloaded scanner.
- Consistent environments — every scan runs on the same engine version. No drift between developer machines and CI environments.
Teams running self-hosted scanners spend an average of 12 hours per month on maintenance. That's time not spent fixing the vulnerabilities the scanner found.
What Rafter's SaaS Security Platform Covers
Rafter runs three scan types in parallel on every pull request:
- Static analysis — traces data flows through your source code to find injection, authentication, and cryptography flaws before runtime.
- Secrets detection — scans for API keys, tokens, passwords, and private keys across your entire commit history, not just the latest diff.
- Dependency analysis — maps your package tree against vulnerability databases and flags transitive dependencies with active CVEs.
For teams writing or reviewing AI-generated code, Rafter includes purpose-built checks that catch the insecure patterns AI assistants produce most frequently — weak input validation, outdated library usage, and hardcoded credentials in boilerplate output.
Results appear as inline PR comments with fix suggestions. No context switching to a separate dashboard. No triaging a backlog of findings from last quarter's scan.
How It Fits Your Pipeline
Rafter plugs into your existing CI/CD workflow through a single integration. GitHub, GitLab, and Bitbucket are supported natively. You configure severity thresholds to control what blocks a merge versus what surfaces as a warning.
# GitHub Actions example
- name: Rafter security scan
uses: rafter/scan-action@v1
with:
fail-on: critical,high
Automated scanning runs alongside your test suite. When builds pass and scans are clean, code merges. When a critical finding appears, the PR blocks with a clear explanation and a remediation path.
Start scanning with Rafter — SaaS-delivered, zero configuration, results on your first commit.