Foil AI Code Security
UnclaimedOn-device AI security scanner that finds vulnerabilities in your code before they ship.
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TL;DR - Foil AI Code Security
- 100% local AI security scanning on Apple Silicon, ensuring code privacy.
- Custom-trained LLM (SecureReview-7B) for deep vulnerability analysis and fix generation.
- Identifies logic flaws, explains impact, and rewrites fixes, going beyond pattern matching.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Ensures 100% code privacy as scans run locally on-device.
- Custom-trained AI model (SecureReview-7B) provides specialized vulnerability analysis.
- Generates actual code fixes with explanations, not just alerts.
- Native Apple Silicon performance for fast and efficient scanning.
- Easy installation and integration with existing developer workflows.
Cons
- Currently limited to Apple Silicon devices.
- Advanced features like Deep Dive, Deep Scan, and custom rules are behind a paywall.
- As a new product, it may have a smaller community and fewer integrations compared to established tools.
Key Features
On-device AI security scanningCustom-trained SecureReview-7B LLMVulnerability explanation and fix rewriting (Deep Dive & Deep Scan)Native macOS applicationCommand-line interface (CLI) for scanningSupport for 7 programming languagesOffline functionalityExport findings (JSON/MD) (Developer Plan)
Pricing Plans
Community
Free
- Agentic scan (162 rules)
- 7 languages
- Up to 3 projects
- Findings with source context
Developer
€19/user / month
- Everything in Community
- Unlimited projects
- Deep Dive & Deep Scan (LLM analysis)
- Export (JSON / MD)
- Custom rules + API
What is Foil AI Code Security?
Foil is an AI-powered security scanner designed for developers, offering 100% local code analysis to identify vulnerabilities. It leverages on-device Large Language Models (LLMs), specifically SecureReview-7B, a custom-trained model optimized for code review and vulnerability analysis on Apple Silicon. This ensures that source code never leaves the user's machine, addressing privacy and data exfiltration concerns.
The tool goes beyond traditional pattern matching by reasoning about the code to find logic flaws. It provides detailed explanations of vulnerabilities, validates exploitability, and even rewrites code with inline comments to fix issues. Foil supports scanning across seven programming languages and integrates with existing CI/CD pipelines via a command-line interface. It's ideal for developers and teams who prioritize security, privacy, and native performance in their development workflow, aiming to catch security flaws early in the development cycle.
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Foil AI Code Security FAQ
What is SecureReview-7B and how does it differ from generic LLMs?
SecureReview-7B is Foil's custom-trained Large Language Model, fine-tuned specifically for code review and vulnerability analysis. Unlike generic chatbots or cloud models, it was trained on the agentic workflow Foil uses to validate findings, explain impact, and rewrite fixes, ensuring more accurate and relevant security insights.
How does Foil handle the privacy of my source code?
Foil operates with 100% local AI, meaning all scanning and analysis are performed on your Apple Silicon device. Your source code never leaves your Mac, eliminating any data exfiltration risk and ensuring complete privacy.
Can Foil integrate with my existing CI/CD pipeline?
Yes, Foil provides a command-line interface (CLI) that allows you to run scans with a single command. This enables you to pipe results into your CI/CD pipeline or any other tools you currently use for automated security checks.
What is the difference between 'Agentic scan' and 'Deep Dive & Deep Scan'?
The 'Agentic scan' (available in the Community Edition) provides findings with source context based on 162 rules. 'Deep Dive & Deep Scan' (available in the Developer Plan) utilizes the local LLM for deeper analysis, explaining the vulnerability, validating exploitability, and generating rewritten code fixes with inline comments.
How does Foil compare to other security tools like Semgrep or Snyk Code?
Foil differentiates itself by using AI reasoning to find logic flaws that pattern-matching tools like Semgrep might miss. Compared to Snyk Code, Foil offers 100% local analysis, ensuring your code never leaves your machine, unlike cloud-based solutions. It also doesn't require learning a query language like CodeQL, providing instant scanning.
What are the hardware requirements for running Foil?
Foil is built on MLX and designed to run natively on Apple Silicon GPUs (M-series chips) for optimal performance. It does not require Docker or cloud configuration and works offline.
Source: foil.peachstudio.be