sunnypilot is an open source driver assistance system. sunnypilot offers the user a unique driving experience for over 350 supported car makes and models with modified behaviors of driving assist engagements. sunnypilot complies with the safety policy from comma.ai's openpilot as accurately as possible.

The control layer for AI agents. 1,200+ rules, 12 domains, 10 frameworks, 4,000+ adversarial payloads. Discover. Assess. Test. Monitor. Comply.

EU AI Act MCP (Model Context Protocol) that connects to your AI agents, helping you to comply with the EU AI Act.

Delphi Complier MCP Server for AI agent, Used for compile project and file to check ai code result.

A research benchmark that evaluates whether AI language models can be convinced to comply with dystopian directives through progressive escalation.

The reference list for the emerging term "AI Act Engineering" that refers to the engineering practices that ensure AI systems comply with the EU AI Act's regulations.

A real-time AI-powered API that detects and blurs human faces in images to protect privacy and comply with regulations. Supports multiple faces, partial views, and customizable blur strength. Built for developers who need fast, accurate, and GDPR-compliant anonymization tools.

Security layer for AI agent-to-agent communication. Every message is signed, inspected, and logged. If it doesn't comply, it doesn't pass. No LLM. No cloud. Single binary. Your infra, your data.

The LLM Unlearning repository is an open-source project dedicated to the concept of unlearning in Large Language Models (LLMs). It aims to address concerns about data privacy and ethical AI by exploring and implementing unlearning techniques that allow models to forget unwanted or sensitive data. This ensures that AI models comply with privacy.

Offline AI-Powered Compliance Checker built for IBM AI & Automation Hackathon 2025

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Doctrine 👩🏼‍💻 Tech Style Guide | Attempting to keep code, documentation and our approach to technical projects consistent. Useful for AI-assisted 🤖 development, just instruct Claude, Gemini and Codex to check they complied with Doctrine!

AI that can find the path to the finish line. Want to preview without finding a complier? Use WanetsCode Live Projects:

This repository is meant to be the main one to organize the project Deep Pavements, which is meant to leverage AI tools to do pavement surface segmentation in CC-Compatible street-level imagery, with categories types complying with OpenStreetMap Tags.

This AI agent checks whether a company’s financial records comply with tax rules — including sales tax, VAT, corporate income tax thresholds, and payroll obligations. In this lab, we’ll simulate financial records and build a GPT-powered assistant that flags potential compliance issues and recommends corrections.

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Enterprise AI Agent Compliance Testing - Built with Gemini 3 Pro in 24hrs | Kaggle Hackathon-Google DeepMind Submission

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AI based complier.

An intelligent agent that automatically analyzes a company’s data sources (code, databases, contracts, AI tools, etc.) to detect compliance risks with regulations like GDPR or the AI Act—without requiring in-house legal or security experts.

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PolicyGuard AI is a pre-deployment policy governance control plane designed to ensure AI workflows comply with organizational policies before they go live. It serves as actionable middleware that intercepts, evaluates, and safeguards AI interactions.

PowerPoint presentation on HOW TO MAKE AI COMPLY as presented at BlueteamCon2023.

Expense AI tracks expense receipts and helps team in verifying that they comply to the company's expense policy

Automated regulatory compliance assessment tool for EU AI Act - helps organizations ensure AI systems comply with regulations through risk classification, requirement identification, and actionable recommendations

🦌 Deerflow — The Enforcement Framework that forces AI Agents to build production-grade software. 9-Gate Quality Pipeline, Agentic Workflow Engine, Agent Skills, MCP Integration, and Zero-Tolerance for mock data, type errors, and security flaws. Clone it. Agents comply.

Build a deep learning model using ResNet50 to estimate a person’s age from facial images. This project explores how computer vision can assist supermarkets in complying with alcohol sales laws by verifying the customer’s age at checkout using AI-based predictions.

**SecureInsights** enables banks, insurers, retailers, and public agencies to collaborate on fraud detection and customer insights **without sharing raw customer data**. Built on Snowflake's Data Clean Rooms and Cortex AI, it provides privacy-safe analytics that comply with GDPR, CCPA, and other regulations.

PFL-Erase is a comprehensive framework that integrates machine unlearning capabilities into Personalized Federated Learning (PFL) systems. This project addresses the critical need for efficient data removal in distributed AI systems to comply with privacy regulations like GDPR/CCPA and enhance security against data poisoning attacks.

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