security-audit

A comprehensive security audit scans your codebase through static analysis, dependency checks, and authentication reviews to identify vulnerabilities. This process defines audit boundaries and enforces guardrails across supply chain risks, rate limiting, and row-level security policies.

Static analysis for dependency and secret detection examines source code without execution to identify insecure patterns, leaked credentials, and vulnerable packages. It serves as the detective phase of a security audit, catching supply chain risks and hardcoded secrets early in development.

Checking for ghost or phantom packages involves verifying that dependencies exist in the real registry to prevent supply chain attacks. This detection mechanism flags AI-assisted development imports that reference non-existent or malicious packages before they infiltrate your project environment.

Automated security reviews for AI-assisted vibe coding workflows verify .gitignore configurations, detect custom AI-built auth implementations, and enforce rate limiting checks. These guardrails ensure AI-generated code meets security standards before integration into your main branch.

Enforcing row level security and rate limiting during an audit involves checking database isolation policies and verifying public APIs are protected against abuse. The audit identifies missing RLS configurations and unthrottled endpoints, providing actionable remediation guidance.

Automated code security audits for custom authentication may flag non-standard implementations but cannot fully understand business logic flaws or complex authorization bypasses. They provide threat-focused checklists and recommended tools, but manual validation remains necessary for nuanced auth vulnerabilities.