Vulnerability Scanning Software: What It Does and How to Choose

Written by the Rafter Team

Vulnerability scanning software automatically inspects your code, dependencies, and running applications for known security weaknesses. These tools parse source files, trace data flows, match patterns against vulnerability databases, and report exploitable flaws — giving your team a repeatable way to catch issues before they reach production. The right vulnerability scanner software fits into your existing workflow and surfaces real problems without drowning you in false positives.
Over 70% of vulnerabilities in modern applications originate in third-party dependencies, not first-party code. Your vulnerability scanning software must cover both your source code and your entire dependency tree to be effective.
Scan your code with Rafter free — get your first vulnerability report in under two minutes.
What Vulnerability Scanning Software Does
Vulnerability scanner software performs three core operations across your codebase:
- Static analysis (SAST) — parses source code without executing it, tracing data flows from untrusted inputs to sensitive operations like SQL queries, shell commands, and file writes
- Dependency scanning (SCA) — maps your direct and transitive dependencies against CVE databases, flagging packages with known vulnerabilities and license risks
- Secrets detection — identifies API keys, tokens, passwords, and private keys committed to your repository, including those buried in git history
Some tools add dynamic analysis (DAST), which tests running applications from the outside. For a full breakdown of scanning types, see the vulnerability scanning guide.
Key Features to Evaluate
Not all vulnerability scanning software delivers equal value. Prioritize these capabilities when comparing options:
CI/CD integration. The scanner should run on every pull request automatically. A tool that requires manual execution will be skipped under deadline pressure — exactly when you need it most. Look for native support for GitHub Actions, GitLab CI, or your pipeline of choice.
Language and framework coverage. Verify your primary stack is supported with real taint analysis, not just regex pattern matching. A scanner that supports 30 languages poorly is worse than one that supports 5 deeply.
False positive rate. High false positive rates cause alert fatigue. Developers stop reading results, and real vulnerabilities get ignored. Evaluate against your actual codebase, not a vendor demo.
Remediation guidance. The best scanners explain what's wrong and how to fix it — inline on the pull request, not in a separate dashboard you have to remember to check.
AI code awareness. AI-generated code introduces specific vulnerability patterns — weak input validation, hardcoded credentials in boilerplate, outdated library references. Your scanner should catch these patterns explicitly.
Deployment Models: On-Premise vs. SaaS vs. Open Source
Your deployment model affects setup time, maintenance burden, and data control.
| Model | Pros | Cons |
|---|---|---|
| On-premise | Full data control, air-gapped environments | Infrastructure overhead, manual rule updates |
| SaaS | Zero setup, automatic updates, managed infrastructure | Code leaves your network (check vendor security posture) |
| Open source | Free, customizable rules, community-driven | Requires self-hosting, limited support, slower rule updates |
Enterprise teams in regulated industries often start with on-premise for compliance, then move to SaaS once they've validated vendor security. Smaller teams benefit from SaaS immediately — the time saved on infrastructure goes into actually fixing vulnerabilities.
Rafter: SaaS Vulnerability Scanning for AI-Era Code
Rafter is SaaS vulnerability scanning software built for teams shipping AI-generated and human-written code. It combines SAST, SCA, and secrets detection in a single integration that runs on every pull request with zero configuration.
Results appear as inline PR comments with severity ratings and fix suggestions. Set severity thresholds to block merges on critical findings. Scans complete in 30 to 90 seconds.
Start scanning with Rafter — automated vulnerability scanning on every commit.
Related Resources
- Vulnerability Scanning Guide: Tools, Types, and How to Choose
- Automated Security Scanning: Set Up CI/CD Protection in 5 Minutes
- Security Tool Comparisons: 2026 Crash Course
- How Rafter Scans AI-Generated Code
- Vulnerability Assessment Tools: 2026 Comparison
- DevSecOps Guide: Building Security Into Every Sprint