Does Git AutoReview replace Snyk or SonarQube?

Not entirely. Snyk and SonarQube are dedicated SAST/SCA tools with thousands of rules. Git AutoReview is an AI code review tool with 15 built-in security rules plus an AI specialized security pass. It catches the most common and dangerous vulnerabilities during code review, before code merges. Many teams use Git AutoReview alongside dedicated security tools for defense in depth.

What security vulnerabilities does AI code review detect?

Git AutoReview detects SQL injection, XSS, CSRF, hardcoded secrets (API keys, passwords, tokens), eval() code injection, weak cryptography (MD5/SHA1), CORS misconfigurations, command injection, path traversal, prototype pollution, disabled SSL verification, empty catch blocks, and Math.random used for cryptographic purposes. The AI security pass also detects SSRF, authentication flaws, and authorization bypasses.

How is this different from SAST tools?

Traditional SAST tools scan entire codebases and generate hundreds of alerts. Git AutoReview scans only the PR diff, catching vulnerabilities at the point of introduction. This means fewer false positives, faster feedback, and security issues caught before they reach the main branch. SAST tools are comprehensive; Git AutoReview is focused on the code review workflow.

Does it work with AI-generated code from Copilot or Cursor?

Yes. Git AutoReview scans all code in a pull request regardless of how it was written. Since 40% of AI-generated code contains vulnerabilities (NYU/Stanford study), this is especially important for teams using Copilot, Cursor, or other AI coding tools. The security scan catches what your AI assistant missed.

Can I customize security rules?

On the Developer plan ($9.99/mo) you get 5 custom review rules, and the Team plan ($14.99/mo) includes 20 custom rules. Custom rules let you enforce team-specific security patterns, naming conventions, or architectural constraints. The 15 built-in security rules are available on all plans including Free.

How does the AI security pass work?

When security scanning is enabled, Git AutoReview runs a specialized AI prompt focused exclusively on security vulnerabilities. The AI analyzes your code changes looking for SQL injection, XSS, CSRF, SSRF, authentication flaws, authorization bypasses, hardcoded secrets, and insecure cryptography. This runs in addition to the 15 regex-based rules for comprehensive coverage.

Is my code sent to your servers for security scanning?

No. Regex rules run locally in VS Code. The AI security pass sends your code diff directly to your chosen AI provider (Anthropic, Google, or OpenAI) via BYOK. We never store, cache, or process your code. Zero data retention.

What platforms support security scanning?

Security scanning works with all supported Git platforms: GitHub (Cloud & Enterprise), GitLab (Cloud & Self-Managed), and Bitbucket (Cloud, Server & Data Center). The security rules and AI pass work identically across all platforms.

How much does security scanning cost?

Security scanning is included on all plans, including the Free tier (10 reviews/day). The Developer plan at $9.99/mo gives you 100 reviews/day with 5 custom security rules. Compare this to dedicated security tools: Snyk starts at $98/mo, and enterprise SAST tools cost $10,000+/year.

Can I toggle security scanning on or off per repository?

Yes. Each of the 4 specialized review passes (Security, Bugs, Performance, Style) can be toggled independently per repository. This lets you enable security scanning for production repos while keeping it off for experimental projects.

Security Scanning

AI Writes Code.
Who Catches the Vulnerabilities?

40% of AI-generated code contains security flaws. Your AI assistant won't tell you. Git AutoReview scans every PR with 15 security rules + AI specialized security pass.

Install Free See How It Works

AI Code is Insecure. The Data is Clear.

Every major study reaches the same conclusion: AI-generated code introduces vulnerabilities at alarming rates.

40%

of AI-generated programs contain vulnerabilities

NYU/Stanford Copilot Study

4,200+

CWE instances in 7,703 AI-generated GitHub files

CodeAnt AI 2025

37%

more critical vulnerabilities after 5 AI iterations

Kaspersky Vibe Coding Report

40%

higher secret leak rate in Copilot-active repos

GitGuardian Study

$4.44M

average data breach cost globally

IBM 2025 Report

241 days

average time to detect a breach

IBM 2025 Report

Real Security Incidents from AI-Generated Code

These happened in 2024-2025. Not hypotheticals. Not demos. Production systems, real users, real damage.

CamoLeak (CVSS 9.6)

CRITICAL

Copilot Chat prompt injection exfiltrated AWS keys from private repos via hidden PR comments. Affected ALL Copilot users. Fixed Aug 2025 after Legit Security disclosure.

CVE-2025-38561 — The Register, CSO Online

3,000+ Tickets Exposed

CRITICAL

Vibe-coded startup app had zero auth. Customer credit cards accessible via URL for a week. AI never added authentication. Potential GDPR fines up to $200K.

Karo Zieminski — Substack

AWS Kiro Deletes Production

HIGH

Amazon's AI coding tool autonomously deleted production environments, causing 13-hour outage. AI tools inherit engineer permissions without safety checks.

Tom's Hardware

1,184 Malicious Packages

HIGH

1 in 5 skills in ClawHub (AI agent marketplace) were malicious. 135K exposed instances with insecure defaults. 9 CVEs, 3 with public exploits.

Antiy CERT, SecurityScorecard

Stanford Study: False Confidence

MEDIUM

Developers using AI assistants wrote less secure code in 4 out of 5 tasks while feeling MORE confident about security. AI creates a dangerous illusion of safety.

Stanford/Boneh Research

“It Won't Happen to Me”

Every developer thinks their code is secure. That's why breaches take 241 days to detect.

AI assistants don't warn you about the vulnerabilities they introduce. The Stanford study found developers using AI felt more confident while writing less secure code.

Your code review is the last line of defense. Is it catching security issues?

The Solution

Security Scanning Built Into Every Review

Git AutoReview scans every PR for security vulnerabilities automatically. Two layers of protection, zero configuration required.

Layer 1: 15 Regex Rules

Fast, deterministic pattern matching runs locally in VS Code. Catches hardcoded secrets, SQL injection, eval(), XSS, weak crypto, CORS wildcards, and more. Zero false negatives for known patterns.

Runs locally, no API call needed
Instant results, no latency
Severity-rated (Critical, High, Medium)

Layer 2: AI Security Pass

A specialized AI prompt focused exclusively on security. Claude, Gemini, or GPT analyzes your code changes for complex vulnerabilities that regex can't catch: logic flaws, auth bypasses, SSRF chains.

Understands code context and intent
Catches logic-level vulnerabilities
BYOK — code goes direct to your AI provider

Path Traversal

Unsanitized file paths allowing directory traversal (../)

4 Specialized AI Review Passes

Toggle each pass independently per repository. Security, Bugs, Performance, Style — enable what matters for each project.

Security

SQL injection & NoSQL injection
XSS & CSRF vulnerabilities
Authentication & authorization flaws
SSRF & path traversal
Hardcoded secrets & credentials
Insecure cryptography

Bugs

Null/undefined dereferences
Race conditions & deadlocks
Resource leaks (memory, file handles)
Infinite loops & recursion
Off-by-one & boundary errors
Unhandled promise rejections

Performance

O(n²) nested loops
N+1 database queries
Memory leaks & large allocations
Unnecessary re-renders (React)
Missing indexes & slow queries
Blocking I/O in async contexts

Style

Long functions (>50 lines)
Deep nesting (>3 levels)
Magic numbers & strings
SOLID principle violations
Inconsistent naming conventions
Dead code & unused imports

See It in Action

Security findings appear directly in your VS Code editor — pinned to the exact line, with severity scores and one-click actions.

Inline Security Annotations

Security findings appear as comments pinned to the exact line — approve, reject, or navigate to the code in one click.

Security Scanning Results

Hardcoded secrets, SQL injection, XSS flagged with severity and confidence scores.

Specialized Review Passes

Four expert passes — Security, Bugs, Performance, Style — each with its own toggle.

Security Scanning: How We Compare

Git AutoReview combines AI code review with security scanning. Dedicated SAST tools have more rules; we have AI intelligence.

Feature	Git AutoReview	CodeRabbit	Snyk	CodeQL
AI Code Review	3 models (Claude, Gemini, GPT)	1 model	No	No
Security Rules	15 regex + AI pass	Basic	300+ rules	2,000+ rules
IDE Integration	VS Code	GitHub only	VS Code, JetBrains	GitHub only
Human Approval			N/A	N/A
BYOK Privacy				Free (public repos)
Price	$9.99/mo	$24/user/mo	$98/mo	Free / Enterprise
Setup Time	2 minutes	10 minutes	30 minutes	1 hour
Bitbucket Support	Full (Cloud/Server/DC)	No	Limited	No

The Cost of Inaction

Without Security Scanning

$4.44M average breach cost
241 days average detection time
Reputation damage, customer trust lost
GDPR/regulatory fines

With Git AutoReview

$9.99/mo Developer plan
Instant detection during code review
Zero code storage, BYOK privacy
Human approval before publishing

Frequently Asked Questions

Don't Ship Vulnerable Code

Start scanning every PR for security vulnerabilities today. No credit card required. 10 free reviews per day. BYOK supported.

Install Free See Pricing

Learn More

All Features

Explore all Git AutoReview capabilities

Human-in-the-Loop

Approve AI suggestions before publishing

vs CodeQL

AI review vs static analysis

Security Docs

Privacy architecture and BYOK

AI Writes Code.Who Catches the Vulnerabilities?

AI Code is Insecure. The Data is Clear.

Real Security Incidents from AI-Generated Code

“It Won't Happen to Me”