Your AI writes bugs.
NeuroGuard explains why.

Review Python code for security vulnerabilities using Gemma 4's glass-box Thinking Mode — watch the model reason through every flaw in real-time, then verify the fix with Bandit SAST.

$ pip install neuroguard-ai

Python 3.12+ · Free Google AI Studio API key

How it works

🧠

Glass-Box Reasoning

Gemma 4's <|think|> token streams the full cognitive trace before any output is accepted. You see exactly how the model found every vulnerability.

🔒

SAST Verified

Every rewrite is independently confirmed clean by Bandit. AI reasoning + static analysis. Two layers of confidence before you trust the output.

⚡

CI/CD Ready

JSON output, exit codes, GitHub Actions template, and pre-commit hook. Drop it into your pipeline — it fails the build if vulnerabilities are detected.

Usage

terminal

# review a file

$ neuroguard review app.py

# scan a directory

$ neuroguard review src/

# save the secure rewrite

$ neuroguard review app.py --save app_secure.py

# JSON output for CI/CD

$ neuroguard review app.py --format json | jq '.original_findings'

# add pre-commit hook

$ neuroguard install-hooks && pre-commit install

What NeuroGuard Catches

Gemma 4 reasons through OWASP Top 10 vulnerabilities in your code

{[ ["SQL Injection", "A03"], ["Hardcoded Secrets", "A02"], ["Missing Auth", "A01"], ["Code Injection / eval()", "A03"], ["Debug Mode Exposure", "A05"], ["Insecure Deserialization", "A08"], ["Weak Cryptography", "A02"], ["Path Traversal", "A01"], ].map(([name, code]) => `

✓

${name}

OWASP ${code}

`).join('')}

Stop shipping vulnerabilities

Get a free Google AI Studio key and start reviewing in under 2 minutes.

pip install neuroguard-ai View on GitHub

Built for the Dev.to Google Gemma 4 Challenge · Apache 2.0 License · Python 3.12+

Find it useful? ⭐ Star on GitHub — it helps us in the challenge.

Your AI writes bugs. NeuroGuard explains why.