Static Application Security Testing (SAST) for Cloud Teams
Why infrastructure scanning alone isn't enough, and how taint-aware static analysis catches vulnerabilities in the application code itself.
Try KloudSec FreeA perfectly configured AWS account can still ship a SQL injection, a path traversal bug, or a hardcoded credential inside the application code running on top of it. CSPM and IaC scanning cover the infrastructure layer, the accounts, the permissions, the network. They don't read the application's source code, and a real security posture needs both: infrastructure that's locked down, and application code that doesn't hand an attacker a way in regardless.
That's what Static Application Security Testing, SAST, is for: scanning source code directly for exploitable patterns before it's deployed. The difference between a useful SAST tool and a noisy one is usually taint analysis, tracking how untrusted input (a URL parameter, a form field, an API payload) actually flows through the code to a dangerous sink (a database query, a file path, a shell command), rather than just pattern-matching on risky-looking function calls in isolation. Taint-aware analysis is what keeps the finding count realistic instead of flooding a team with theoretical issues that were never actually reachable.
KloudSec's SAST engine is taint-aware across 11 languages, with findings mapped to the OWASP and CWE Top 25, the same classification security teams and auditors already work with, so a finding isn't just "this looks risky," it's tied to a recognized vulnerability class with clear context on why it matters.
What It Covers
Taint-Aware Analysis
Tracks how untrusted input actually flows to a dangerous sink in the code, rather than flagging risky-looking patterns with no real reachability, which is what keeps false positives down.
11 Languages Covered
Scans across the languages modern cloud teams actually ship in, so coverage doesn't stop at one stack.
OWASP & CWE Top 25 Mapping
Findings map directly to recognized vulnerability classes, the same classification security teams and auditors already use, not a proprietary severity label with no external reference.
Pull Request Feedback
Findings surface where code is actually reviewed, on the PR, not in a separate dashboard checked long after the code has already shipped.
One Platform With Infrastructure Scanning
Application code findings sit alongside cloud posture, IaC, and secrets findings in the same place, so a real risk picture doesn't require stitching together five different tools.
How It Works
Connect the Repository
KloudSec connects to the code repositories that need scanning.
Scan the Code
Static analysis runs across the codebase, tracking data flow from untrusted input sources to dangerous sinks.
Prioritize by Reachability
Taint-tracked findings are prioritized by whether untrusted input can actually reach the vulnerable code path, not just whether a risky pattern exists somewhere in the file.
Fix With Context
Each finding is mapped to its OWASP/CWE classification with the context needed to understand and fix it, not just a line number.
Classification Standards
Frequently Asked Questions
Explore More of KloudSec
Cloud Posture (CSPM)
What CSPM actually means, why point-in-time audits miss most of what matters, and how continuous, agentless scanning closes the gap.
Learn moreIaC Scanning
Why scanning Terraform and CloudFormation before deploy beats finding the same problem in production, and how it fits alongside live account scanning.
Learn moreSecrets Detection
Plaintext passwords in a Lambda environment variable, a key in a public GitHub repo. Real, common, and usually found by scanning, not by luck.
Learn moreReady to See Your Own Account?
Free to start, no credit card. Connect one AWS account and see what application code (sast) finds.
Try KloudSec Free