Insights, tutorials, and best practices for secure development
A web application security scanner detects vulnerabilities before attackers do. Learn how scanners work, what they catch, and how to choose the right one.
A cyber security startup guide covering minimum viable security stack, common mistakes founders make, and how to build security into your product from the first commit.
An SQL injection vulnerability scanner detects SQLi flaws in your code and running applications. Learn what these scanners catch, how they work, and which tools to use.
Vulnerability scanning services range from managed assessments to self-serve platforms. Compare the tradeoffs and see how Rafter delivers continuous scans.
Vulnerability scan vs penetration test — they serve different purposes and find different flaws. Learn when to use each in your security program.
Vulnerability scanning finds security flaws before attackers do. Learn SAST, DAST, IAST, and SCA types, top tools, and how to protect AI-generated code.
Most security scan findings never get fixed — teams detect vulnerabilities but remediation stalls. Learn why the scan-to-fix loop breaks down, and how to build a workflow that turns every finding into a verified, deployed fix.
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 contextual review, and automated 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 static code analysis tools — SonarQube, Semgrep, CodeQL, Snyk Code, and Rafter — on accuracy, language support, CI/CD integration, and pricing.
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