Best AI tools for< Secure Prompt Systems >

Lakera is the world's most advanced AI security platform that offers cutting-edge solutions to safeguard GenAI applications against various security threats. Lakera provides real-time security controls, stress-testing for AI systems, and protection against prompt attacks, data loss, and insecure content. The platform is powered by a proprietary AI threat database and aligns with global AI security frameworks to ensure top-notch security standards. Lakera is suitable for security teams, product teams, and LLM builders looking to secure their AI applications effectively and efficiently.

PromptPanda is an AI Prompt Management System designed to streamline workflow by securely managing prompts. It centralizes company prompts, allowing for efficient retrieval and comparison of new prompts. Users can explore and optimize market-tested prompts, ensuring consistent high-quality outcomes. The tool offers a central prompt repository for easy organization and clarity in AI usage.

PulsarChat is an advanced AI tool that enhances the capabilities of ChatGPT by providing additional features and plugins to supercharge your productivity. With over 250 plugins, a prompts library, system prompts, AI characters, and customizable looks, PulsarChat offers a unique and personalized chatbot experience. It ensures secure and private communication by not storing your API key and sending messages directly to OpenAI's servers. Additionally, PulsarChat allows for password-protected chats, no usage restrictions, access to multiple models, and the ability to edit/hack conversations.

Askellyn.ai is an AI tool designed to verify the security of user connections. It ensures that users are human by reviewing their connection security. The tool may prompt users to enable JavaScript and cookies for a seamless experience. Powered by Cloudflare, askellyn.ai prioritizes performance and security in its operations.

dexa.ai is an AI tool designed to verify the security of user connections. It ensures that the connection is secure before proceeding with any actions. The tool may prompt users to enable JavaScript and cookies for a seamless experience. dexa.ai focuses on enhancing security measures and performance for users accessing various online platforms.

GetMerlin is a website that focuses on verifying the security of user connections before proceeding. It ensures that users are human by conducting a verification process that may take a few seconds. The site prompts users to enable JavaScript and cookies to continue, emphasizing performance and security through the use of Cloudflare technology.

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Prompt Security is a platform that secures all uses of Generative AI in the organization: from tools used by your employees to your customer-facing apps.

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SwiftSora is an open-source project that enables users to generate videos from prompt text online. The project utilizes OpenAI's Sora model to streamline video creation and includes a straightforward one-click website deployment feature. With SwiftSora, users can effortlessly produce high-quality video assets, ranging from realistic scenes to imaginative visuals, by simply providing text instructions. The platform offers a user-friendly interface with customizable settings, making it accessible to both beginners and experienced video creators. SwiftSora empowers users to elevate their creativity and redefine the boundaries of possibility in video production.

Team-GPT is an enterprise AI software designed for teams ranging from 2 to 5,000 members. It provides a shared workspace where teams can organize knowledge, collaborate, and master AI. The platform offers features such as folders and subfolders for organizing chats, a prompt library with ready-to-use templates, and adoption reports to measure AI adoption rates. Team-GPT aims to make ChatGPT more accessible and cost-effective for teams by providing pay-per-use pricing and priority access to the OpenAI API.

Infermatic.ai is a platform that provides access to top Large Language Models (LLMs) with a user-friendly interface. It offers complete privacy, robust security, and scalability for projects, research, and integrations. Users can test, choose, and scale LLMs according to their content needs or business strategies. The platform eliminates the complexities of infrastructure management, latency issues, version control problems, integration complexities, scalability concerns, and cost management issues. Infermatic.ai is designed to be secure, intuitive, and efficient for users who want to leverage LLMs for various tasks.

Sider.ai is a web application that focuses on security verification before allowing access to its services. It ensures a secure connection by reviewing the security measures of the user's connection. The platform may prompt users to enable JavaScript and cookies for a seamless experience. Sider.ai employs Cloudflare for performance and security enhancements.

Lakera is the world's most advanced AI security platform designed to protect organizations from AI threats. It offers solutions for prompt injection detection, unsafe content identification, PII and data loss prevention, data poisoning prevention, and insecure LLM plugin design. Lakera is recognized for setting global AI security standards and is trusted by leading enterprises, foundation model providers, and startups. The platform is powered by a proprietary AI threat database and aligns with global AI security frameworks.

PromptInterface.ai is an innovative prompt engineering solution that allows users to create personalized assistants for colleagues using intuitive forms with GPT-4 prompts. It revolutionizes business processes by optimizing collaborative work, boosting productivity, improving communication, and simplifying time-consuming tasks. The application offers clear and transparent pricing, secure payments, and the ability to manage subscriptions easily. With no limit to prompt templates and compatibility with smartphones, PromptInterface.ai is a powerful and user-friendly tool for businesses looking to automate processes and enhance team collaboration.

Mendable is an AI-powered search tool that helps businesses answer customer and employee questions by training a secure AI on their technical resources. It offers a variety of features such as answer correction, custom prompt edits, and model creativity control, allowing businesses to customize the AI to fit their specific needs. Mendable also provides enterprise-grade security features such as RBAC, SSO, and BYOK, ensuring the security and privacy of sensitive data.

ThinkBoxAI is a desktop client designed to unlock the full potential of AI by providing a low-cost and user-friendly solution for utilizing AI capabilities. The application offers features such as customizing GPT output, ready-made prompt library, and secure data handling. Users can purchase a lifetime license key and access the OpenAI API to enhance their AI experience. ThinkBoxAI aims to provide the best user experience at an affordable price point, making it an ideal choice for individuals and businesses looking to leverage AI technology.

BoltAI is a native, high-performance AI application for Mac users, offering intuitive chat UI and powerful AI commands for various use cases. It provides features like AI coding assistance, content generation, and instant access to large language models. BoltAI is designed to enhance productivity across professions, from developers to students and everyone. It allows users to integrate AI into their workflow seamlessly, with features like custom AI assistants, prompt library, and secure data handling.

PrivacyDoc is an AI-powered portal that allows users to analyze and query PDF and ebooks effortlessly. By leveraging advanced NLP technology, PrivacyDoc enables users to uncover insights and conduct thorough document analysis. The platform offers features such as easy file upload, query functionality, enhanced security measures, and free access to powerful PDF analysis tools. With PrivacyDoc, users can experience the convenience of logging in with their Google account, submitting queries for prompt AI-driven responses, and ensuring data privacy with secure file handling.

AIPRM is a prompt management tool and community-driven prompt library that provides efficient and affordable AI on top of ChatGPT and other AI models. It offers a vast repository of expertly crafted prompts, private prompt creation, custom GPT community prompts, and a range of features to enhance prompt generation and usage. Trusted by over 2 million users and major brands, AIPRM aims to save time and boost productivity for users of all skill levels in prompt engineering and AI content generation.

Awesome_GPT_Super_Prompting is a repository that provides resources related to Jailbreaks, Leaks, Injections, Libraries, Attack, Defense, and Prompt Engineering. It includes information on ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, and Adversarial Machine Learning. The repository contains curated lists of repositories, tools, and resources related to GPTs, prompt engineering, prompt libraries, and secure prompting. It also offers insights into Cyber-Albsecop GPT Agents and Super Prompts for custom GPT usage.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository provides a collection of tools and techniques for defending against injection attacks in software applications. It includes code samples, best practices, and guidelines for implementing secure coding practices to prevent common injection vulnerabilities such as SQL injection, XSS, and command injection. The tools and resources in this repository aim to help developers build more secure and resilient applications by addressing one of the most common and critical security threats in modern software development.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

Prompt Engineering Techniques is a comprehensive repository for learning, building, and sharing prompt engineering techniques, from basic concepts to advanced strategies for leveraging large language models. It provides step-by-step tutorials, practical implementations, and a platform for showcasing innovative prompt engineering techniques. The repository covers fundamental concepts, core techniques, advanced strategies, optimization and refinement, specialized applications, and advanced applications in prompt engineering.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

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.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

DAILA is a unified interface for AI systems in decompilers, supporting various decompilers and AI systems. It allows users to utilize local and remote LLMs, like ChatGPT and Claude, and local models such as VarBERT. DAILA can be used as a decompiler plugin with GUI or as a scripting library. It also provides a Docker container for offline installations and supports tasks like summarizing functions and renaming variables in decompilation.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

gollm is a Go package designed to simplify interactions with Large Language Models (LLMs) for AI engineers and developers. It offers a unified API for multiple LLM providers, easy provider and model switching, flexible configuration options, advanced prompt engineering, prompt optimization, memory retention, structured output and validation, provider comparison tools, high-level AI functions, robust error handling and retries, and extensible architecture. The package enables users to create AI-powered golems for tasks like content creation workflows, complex reasoning tasks, structured data generation, model performance analysis, prompt optimization, and creating a mixture of agents.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications with APIs. It handles tasks like detecting and rejecting jailbreak attempts, calling backend APIs, disaster recovery, and observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and standards-based observability. Arch aims to improve the speed, security, and personalization of generative AI applications.

RLAMA is a powerful AI-driven question-answering tool that seamlessly integrates with local Ollama models. It enables users to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems tailored to their documentation needs. RLAMA follows a clean architecture pattern with clear separation of concerns, focusing on lightweight and portable RAG capabilities with minimal dependencies. The tool processes documents, generates embeddings, stores RAG systems locally, and provides contextually-informed responses to user queries. Supported document formats include text, code, and various document types, with troubleshooting steps available for common issues like Ollama accessibility, text extraction problems, and relevance of answers.

Unstract is a no-code platform that enables users to launch APIs and ETL pipelines to structure unstructured documents. With Unstract, users can go beyond co-pilots by enabling machine-to-machine automation. Unstract's Prompt Studio provides a simple, no-code approach to creating prompts for LLMs, vector databases, embedding models, and text extractors. Users can then configure Prompt Studio projects as API deployments or ETL pipelines to automate critical business processes that involve complex documents. Unstract supports a wide range of LLM providers, vector databases, embeddings, text extractors, ETL sources, and ETL destinations, providing users with the flexibility to choose the best tools for their needs.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize AI agents with APIs. It handles tasks related to prompts, including detecting jailbreak attempts, calling backend APIs, routing between LLMs, and managing observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and observability. Users can build fast, observable, and personalized AI agents using Arch to improve speed, security, and personalization of GenAI apps.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

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