Static Analysis That Understands Data Flow
KloudSec's SAST engine traces how untrusted input actually moves through your code across 11 languages, catching real, exploitable vulnerabilities instead of drowning your team in pattern-matched noise.
Taint-Aware Analysis
Rather than flagging every use of a risky-looking function, KloudSec traces whether untrusted data (user input, request parameters, external API responses) actually reaches a dangerous sink, like a SQL query or a shell command, before raising a finding.
- Source-to-sink data flow tracing
- Fewer false positives than pattern-only scanners
- Findings show the full path, not just one line
11 Languages, One Engine
Most teams run more than one language in production. KloudSec covers the languages that matter across a modern stack, from backend services to systems code.
- Python
- JavaScript
- TypeScript
- Go
- Java
- PHP
- Ruby
- Rust
- C
- C++
- C#
Mapped to OWASP & CWE Top 25
Every finding is classified against the OWASP Top 10 and CWE Top 25 categories, so results plug directly into the frameworks your security and compliance teams already report against.
AI-Powered Remediation With Code
KloudSec doesn't just tell you there's a SQL injection risk on line 42, it proposes the actual parameterized-query fix, in your language, ready to review and commit.
How It Works
Connect your GitHub repositories
The same GitHub App used for IaC scanning also powers SAST, one integration for both.
Every pull request is scanned
Changed files are analyzed on each PR, with results as a GitHub check run.
Findings are traced end-to-end
Each result shows the full taint path from untrusted source to vulnerable sink, not just a line number.
Apply the AI-suggested fix
Review the proposed code change and merge it directly, or use it as a starting point for your own fix.
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Find Real Vulnerabilities in Your Code
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