Problem
Manual code review is slow and inconsistent. Reviewers miss injection risks, unsafe async patterns, and logic bugs under time pressure, and free-text AI output is unreliable to parse into anything actionable.Solution
An n8n workflow that accepts raw code, sends it to a model with a forced JSON schema, parses the structured response, and renders a clean scored report covering security, performance, and readability. No manual triage of AI prose, just a consistent output format every run.Use Cases
MDR/SOC-as-a-Service Screen client-submitted scripts and integration code for injection flaws before they touch production pipelines.
GRC Compliance Generate consistent, auditable review artifacts that map directly to secure coding control evidence.
MSSP Operators Run the same review workflow across every client engagement without depending on reviewer availability or skill variance.
Offensive Security/Red Team Rapidly triage third-party or client code for exploitable patterns like SQL injection and hardcoded credentials during engagement scoping.
Impact
Cuts manual review time on routine code checks, standardizes severity scoring across engagements, and produces a structured record instead of an ad hoc text summary.Built by Kunsh Tanwar | ETXcyberops | [email protected]
