Insights, tutorials, and best practices for secure development
Static code analysis tools for Java find vulnerabilities, bugs, and quality issues at build time. Compare the top options and what each catches.
Vulnerability management tools help you find, prioritize, and fix security flaws before attackers exploit them. Compare top tools and build a workflow.
How Rafter's scanning pipeline detects vulnerabilities in AI-generated code using static analysis, AI-powered review, and fix prompt generation.
Source code vulnerability scanner tools detect security flaws before deployment. Learn how Rafter scans AI-generated and human-written code alike.
Compare SAST tools — Semgrep vs SonarQube, CodeQL, Snyk Code, and Rafter — on taint analysis, language support, CI/CD integration, and pricing.
AI code scanners claim to find what traditional tools miss. A five-dimension benchmarking methodology for evaluating AI security agents on your own code.
SAST, DAST, and SCA catch different vulnerabilities at different stages. Learn how each works, where they overlap, and how to combine them for complete coverage.
Compare manual and automated source code review methods. Learn when each catches vulnerabilities and which approach fits your team's workflow.
The average SAST tool flags 30-70% false positives. Learn why scanners over-report, how to triage findings efficiently, and build a workflow that separates real vulnerabilities from noise.
Security scanning breaks down at scale — full scans block CI/CD and overwhelm teams with noise. Learn incremental analysis, parallelization, caching, and smart prioritization strategies to scan large codebases without slowing down your pipeline.
Security testing finds exploitable weaknesses before attackers do. Learn SAST, DAST, IAST, pen testing, and how to build a layered vulnerability testing workflow.
Source code analysis tools scan your codebase for security flaws before deployment. See how Rafter's approach reduces noise and catches real threats.
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