Microsoft Copilot for Security is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI.

Microsoft Security Copilot is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI. It provides a platform for contributors to enhance and expand the capabilities of the tool through collaborative development. Users can contribute by forking the repository, making changes locally, and submitting pull requests to merge their contributions back into the main repository. The tool is designed to streamline security and IT tasks, automate processes, and enable teams to work more efficiently in managing security operations.

PromptMage simplifies the process of creating and managing LLM workflows as a self-hosted solution. It offers an intuitive interface for prompt testing and comparison, incorporates version control features, and aims to improve productivity in both small teams and large enterprises. The tool bridges the gap in LLM workflow management, empowering developers, researchers, and organizations to make LLM technology more accessible and manageable for the next wave of AI innovations.

This open hardware project aims to extend the life of Volvo P2 platform vehicles by updating them to current EU safety and emission standards. It involves designing and prototyping OEM hardware electronics that can replace existing electronics in these vehicles, using the existing wiring and without requiring reverse engineering or modifications. The project focuses on serviceability, maintenance, repairability, and personal ownership safety, and explores the advantages of using open solutions compared to conventional hardware electronics solutions.

LoLLMs WebUI (Lord of Large Language Multimodal Systems: One tool to rule them all) is a user-friendly interface to access and utilize various LLM (Large Language Models) and other AI models for a wide range of tasks. With over 500 AI expert conditionings across diverse domains and more than 2500 fine tuned models over multiple domains, LoLLMs WebUI provides an immediate resource for any problem, from car repair to coding assistance, legal matters, medical diagnosis, entertainment, and more. The easy-to-use UI with light and dark mode options, integration with GitHub repository, support for different personalities, and features like thumb up/down rating, copy, edit, and remove messages, local database storage, search, export, and delete multiple discussions, make LoLLMs WebUI a powerful and versatile tool.

Enterprise Commerce is a Next.js commerce starter that helps you launch your high-performance Shopify storefront in minutes, not weeks. It leverages the power of Vector Search and AI to deliver a superior online shopping experience without the development headaches.

KEITH-MD is a versatile bot updated and working for all downloaders fixed and are working. Overall performance improvements. Fork the repository to get the latest updates. Get your session code for pair programming. Deploy on Heroku with a single tap. Host on Discord. Download files and deploy on Scalingo. Join the WhatsApp group for support. Enjoy the diverse features of KEITH-MD to enhance your WhatsApp experience.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

AppFlowy.IO is an open-source alternative to Notion, providing users with control over their data and customizations. It aims to offer functionality, data security, and cross-platform native experience to individuals, as well as building blocks and collaboration infra services to enterprises and hackers. The tool is built with Flutter and Rust, supporting multiple platforms and emphasizing long-term maintainability. AppFlowy prioritizes data privacy, reliable native experience, and community-driven extensibility, aiming to democratize the creation of complex workplace management tools.

Danswer is an open-source Gen-AI Chat and Unified Search tool that connects to your company's docs, apps, and people. It provides a Chat interface and plugs into any LLM of your choice. Danswer can be deployed anywhere and for any scale - on a laptop, on-premise, or to cloud. Since you own the deployment, your user data and chats are fully in your own control. Danswer is MIT licensed and designed to be modular and easily extensible. The system also comes fully ready for production usage with user authentication, role management (admin/basic users), chat persistence, and a UI for configuring Personas (AI Assistants) and their Prompts. Danswer also serves as a Unified Search across all common workplace tools such as Slack, Google Drive, Confluence, etc. By combining LLMs and team specific knowledge, Danswer becomes a subject matter expert for the team. Imagine ChatGPT if it had access to your team's unique knowledge! It enables questions such as "A customer wants feature X, is this already supported?" or "Where's the pull request for feature Y?"

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

SploitCraft is a curated collection of security exploits, penetration testing techniques, and vulnerability demonstrations intended to help professionals and enthusiasts understand and demonstrate the latest in cybersecurity threats and offensive techniques. The repository is organized into folders based on specific topics, each containing directories and detailed READMEs with step-by-step instructions. Contributions from the community are welcome, with a focus on adding new proof of concepts or expanding existing ones while adhering to the current structure and format of the repository.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's no-code Connector Builder or low-code CDK. Airbyte is used by data engineers and analysts at companies of all sizes to build and manage their data pipelines.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.

The edge2ai-workshop repository provides a hands-on workshop for building an IoT Predictive Maintenance workflow. It includes lab exercises for setting up components like NiFi, Streams Processing, Data Visualization, and more on a single host. The repository also covers use cases such as credit card fraud detection. Users can follow detailed instructions, prerequisites, and connectivity guidelines to connect to their cluster and explore various services. Additionally, troubleshooting tips are provided for common issues like MiNiFi not sending messages or CEM not picking up new NARs.

Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.

Microsoft Copilot for Security is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI.

Microsoft Copilot for Security is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI.

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and utilizes virtualization techniques powered by OpenAI Generative Pre-trained Transformer. Key features include OpenAI Generative Pre-trained Transformer acting as Linux virtualization, SSH Honeypot, HTTP Honeypot, TCP Honeypot, Prometheus openmetrics integration, Docker integration, RabbitMQ integration, and kubernetes support. Beelzebub allows easy configuration for different services and ports, enabling users to create custom honeypot scenarios. The roadmap includes developing Beelzebub into a robust PaaS platform. The project welcomes contributions and encourages adherence to the Code of Conduct for a supportive and respectful community.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

The 'Awesome Business of Cybersecurity' repository is a comprehensive resource exploring the cybersecurity market, focusing on publicly traded companies, industry strategy, and AI capabilities. It provides insights into how cybersecurity companies operate, compete, and evolve across 18 solution categories and beyond. The repository offers structured information on the cybersecurity market snapshot, specialists vs. multiservice cybersecurity companies, cybersecurity stock lists, endpoint protection and threat detection, network security, identity and access management, cloud and application security, data protection and governance, security analytics and threat intelligence, non-US traded cybersecurity companies, cybersecurity ETFs, blogs and newsletters, podcasts, market insights and research, and cybersecurity solutions categories.

MCP-Scan is a security scanning tool designed to detect common security vulnerabilities in Model Context Protocol (MCP) servers. It can auto-discover various MCP configurations, scan both local and remote servers for security issues like prompt injection attacks, tool poisoning attacks, and toxic flows. The tool operates in two main modes - 'scan' for static scanning of installed servers and 'proxy' for real-time monitoring and guardrailing of MCP connections. It offers features like scanning for specific attacks, enforcing guardrailing policies, auditing MCP traffic, and detecting changes to MCP tools. MCP-Scan does not store or log usage data and can be used to enhance the security of MCP environments.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.