Best AI tools for< Provide Security Recommendations >

Cyguru is an all-in-one cloud-based AI Security Operation Center (SOC) that offers a comprehensive range of features for a robust and secure digital landscape. Its Security Operation Center is the cornerstone of its service domain, providing AI-Powered Attack Detection, Continuous Monitoring for Vulnerabilities and Misconfigurations, Compliance Assurance, SecPedia: Your Cybersecurity Knowledge Hub, and Advanced ML & AI Detection. Cyguru's AI-Powered Analyst promptly alerts users to any suspicious behavior or activity that demands attention, ensuring timely delivery of notifications. The platform is accessible to everyone, with up to three free servers and subsequent pricing that is more than 85% below the industry average.

AppSec Assistant is an AI-powered application designed to provide automated security recommendations in Jira Cloud. It focuses on ensuring data security by enabling secure-by-design software development. The tool simplifies setup by allowing users to add their OpenAI API key and organization, encrypts and stores data using Atlassian's Storage API, and provides tailored security recommendations for each ticket to reduce manual AppSec reviews. AppSec Assistant empowers developers by keeping up with their pace and helps in easing the security review bottleneck.

Prevess is a leading AI tool for personalized nutrition, offering effortless integration for various industries such as healthcare, fitness, nutrition, and wellness. With a focus on hyper-personalized meal plans and AI-driven insights, Prevess helps businesses engage users effectively and drive long-term revenue. The platform is GDPR and AI Act compliant, ensuring data security and legal adherence. Prevess API Developers provide easy access to a wealth of scientific data and features to enhance customer engagement and satisfaction.

Yellow.ai is a leading provider of AI-powered customer service automation solutions. Its Dynamic Automation Platform (DAP) is built on multi-LLM architecture and continuously trains on billions of conversations for scale, speed, and accuracy. Yellow.ai's platform leverages the latest advancements in NLP and generative AI to deliver empathetic and context-aware conversations that exceed customer expectations across channels. With its enterprise-grade security, advanced analytics, and zero-setup bot deployment, Yellow.ai helps businesses transform their customer and employee experiences with AI-powered automation.

BestChat is a powerful chat tool designed to enhance customer service, sales engagement, and online conversations. It offers a range of innovative features to empower businesses with seamless chat capabilities. BestChat seamlessly integrates with popular platforms like Shopify, Wix, and WordPress, making it easy to enhance your website's functionality. With its AI-driven capabilities, BestChat automates lead qualification, provides personalized recommendations, and drives purchasing decisions, helping businesses capture more leads, boost conversion rates, and save time. Additionally, BestChat's robust dashboard provides actionable insights, enabling store owners to make informed decisions. Its multilingual support and customizable chat icons allow businesses to personalize their software and reach a global audience. BestChat is committed to data security, ensuring the protection of sensitive information at all levels.

Velotix is an AI-powered data security platform that offers groundbreaking visual data security solutions to help organizations discover, visualize, and use their data securely and compliantly. The platform provides features such as data discovery, permission discovery, self-serve data access, policy-based access control, AI recommendations, and automated policy management. Velotix aims to empower enterprises with smart and compliant data access controls, ensuring data integrity and compliance. The platform helps organizations gain data visibility, control access, and enforce policy compliance, ultimately enhancing data security and governance.

InsureSmart is an AI-powered platform that empowers users to take control of their insurance needs. By leveraging artificial intelligence technology, InsureSmart offers personalized insurance solutions tailored to individual requirements. The platform provides a seamless and user-friendly experience for users to manage and optimize their insurance policies efficiently. With InsureSmart, users can access smart recommendations, compare insurance plans, and make informed decisions to secure their financial well-being.

ThirdAI is a production-ready AI platform designed for enterprises, offering out-of-the-box solutions that work at scale with 10x better price performance. It provides enterprise-grade productivity tools like document search & retrieval, content creation, FAQ bots, customer live support, hyper-personalization, risk & compliance, fraud detection, anomaly detection, and PII/sensitive data redaction. The platform allows users to bring their business problems, apply on their data, and compose AI applications without the need for extensive POC cycles or manual fine-tuning. ThirdAI focuses on low latency, security, scalability, and performance, enabling business leaders to solve critical needs in weeks, not months or years.

Snyk is a developer security platform powered by DeepCode AI, offering solutions for application security, software supply chain security, and secure AI-generated code. It provides comprehensive vulnerability data, license compliance management, and self-service security education. Snyk integrates AI models trained on security-specific data to secure applications and manage tech debt effectively. The platform ensures developer-first security with one-click security fixes and AI-powered recommendations, enhancing productivity while maintaining security standards.

SocialGuard.co is a website that appears to be experiencing technical difficulties at the moment. The web server is down, resulting in an error code 521. Visitors are advised to try accessing the site again in a few minutes, while the website owner is recommended to contact their hosting provider for assistance. The issue seems to be related to the web server not responding, and Cloudflare services are involved in the performance and security of the website.

ViSenze Solutions is an AI-powered platform that offers Smart Search and Product Discovery solutions for e-commerce businesses. Leveraging multimodal AI technology, ViSenze provides personalized search experiences, relevant product recommendations, and seamless shopping journeys to drive conversions and revenue. The platform integrates advanced AI and machine learning to enable natural language, image, and keyword-based searches, as well as personalized recommendations and AI-powered styling assistance. ViSenze also offers tools for customizing search and discovery experiences, automated product tagging, performance analytics, and global support for tailored solutions. With a focus on scalability, performance, and security, ViSenze aims to enhance the online shopping experience for customers and optimize business outcomes for retailers.

Rida is a personal AI Travel assistant that executes travel plans, answers queries, books tickets, and provides travel-related information. It enhances user experience, saves time and costs, and offers 24/7 customer support. The application empowers local businesses by connecting travelers to nearby partners, leading to increased revenue. Rida offers features like seamless travel experience, better travel management, and cutting-edge technology solutions. It assists in booking tickets, cancellations, and personalized recommendations. The application also provides concierge services for hotels and resorts, automates customer handling processes, and enhances security through facial recognition technology.

Sphere is an AI-driven platform that simplifies healthcare navigation by helping users understand their symptoms, find the right healthcare provider, book appointments, and manage insurance and payments seamlessly. It offers a transparent experience where users can share symptoms, medical history, availability, and insurance details to receive personalized healthcare recommendations. Sphere's AI Medical Specialist guides users through their healthcare journey, providing essential information and matching them with suitable specialists. The platform prioritizes privacy and security, using advanced encryption methods to protect users' personal and medical information.

Adjust is an AI-driven platform that helps mobile app developers accelerate their app's growth through a comprehensive suite of measurement, analytics, automation, and fraud prevention tools. The platform offers unlimited measurement capabilities across various platforms, powerful analytics and reporting features, AI-driven decision-making recommendations, streamlined operations through automation, and data protection against mobile ad fraud. Adjust also provides solutions for iOS and SKAdNetwork success, CTV and OTT performance enhancement, ROI measurement, fraud prevention, and incrementality analysis. With a focus on privacy and security, Adjust empowers app developers to optimize their marketing strategies and drive tangible growth.

Goptimise is a no-code AI-powered scalable backend builder that helps developers craft scalable, seamless, powerful, and intuitive backend solutions. It offers a solid foundation with robust and scalable infrastructure, including dedicated infrastructure, security, and scalability. Goptimise simplifies software rollouts with one-click deployment, automating the process and amplifying productivity. It also provides smart API suggestions, leveraging AI algorithms to offer intelligent recommendations for API design and accelerating development with automated recommendations tailored to each project. Goptimise's intuitive visual interface and effortless integration make it easy to use, and its customizable workspaces allow for dynamic data management and a personalized development experience.

DryRun Security is an AI-powered security tool designed to provide developers with security context and analysis for code changes in real-time. It offers a suite of analyzers to identify risky code changes, such as SQL injection, command injection, and sensitive file modifications. The tool integrates seamlessly with GitHub repositories, offering developers a security buddy to enhance code security without slowing down the development process. DryRun Security aims to improve developer productivity, protect code repositories, and provide security context before code merges.

EBO is an advanced artificial intelligence solution that powers customer engagement with bespoke AI technology. It simplifies and automates customer engagement processes, helping businesses tackle challenges related to rising customer expectations and expensive, time-consuming tasks. EBO's AI supports various industries, offering platform and tools for exceptional customer engagement by automating key processes to optimize services and increase customer satisfaction. The platform provides end-to-end services for enterprises, driving customer engagement using data and AI power to offer an omnichannel experience and convert engagement into service satisfaction with AI automation.

Nametag is an identity verification solution designed specifically for IT helpdesks. It helps businesses prevent social engineering attacks, account takeovers, and data breaches by verifying the identity of users at critical moments, such as password resets, MFA resets, and high-risk transactions. Nametag's unique approach to identity verification combines mobile cryptography, device telemetry, and proprietary AI models to provide unmatched security and better user experiences.

Concentric AI is a Managed Data Security Posture Management tool that utilizes Semantic Intelligence to provide comprehensive data security solutions. The platform offers features such as autonomous data discovery, data risk identification, centralized remediation, easy deployment, and data security posture management. Concentric AI helps organizations protect sensitive data, prevent data loss, and ensure compliance with data security regulations. The tool is designed to simplify data governance and enhance data security across various data repositories, both in the cloud and on-premises.

Mimecast is an AI-powered email and collaboration security application that offers advanced threat protection, cloud archiving, security awareness training, and more. With a focus on protecting communications, data, and people, Mimecast leverages AI technology to provide industry-leading security solutions to organizations globally. The application is designed to defend against sophisticated email attacks, enhance human risk management, and streamline compliance processes.

RA.Aid is an AI software development agent powered by `aider` and advanced reasoning models like `o1`. It combines `aider`'s code editing capabilities with LangChain's agent-based task execution framework to provide an intelligent assistant for research, planning, and implementation of multi-step development tasks. It handles complex programming tasks by breaking them down into manageable steps, running shell commands automatically, and leveraging expert reasoning models like OpenAI's o1. RA.Aid is designed for everyday software development, offering features such as multi-step task planning, automated command execution, and the ability to handle complex programming tasks beyond single-shot code edits.

This project provides a proof of concept for deploying a scalable, serverless LLM Generative AI inference engine on AWS Lambda. It leverages the llama.cpp project to enable the usage of more accessible CPU and RAM configurations instead of limited and expensive GPU capabilities. By deploying a container with the llama.cpp converted models onto AWS Lambda, this project offers the advantages of scale, minimizing cost, and maximizing compute availability. The project includes AWS CDK code to create and deploy a Lambda function leveraging your model of choice, with a FastAPI frontend accessible from a Lambda URL. It is important to note that you will need ggml quantized versions of your model and model sizes under 6GB, as your inference RAM requirements cannot exceed 9GB or your Lambda function will fail.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

An integration for Home Assistant that leverages AI models to understand your unique home environment and propose intelligent automations. By analyzing your entities, devices, areas, and existing automations, the AI Automation Suggester helps you discover new, context-aware use cases you might not have considered, ultimately streamlining your home management and improving efficiency, comfort, and convenience. The tool acts as a personal automation consultant, providing actionable YAML-based automations that can save energy, improve security, enhance comfort, and reduce manual intervention. It turns the complexity of a large Home Assistant environment into actionable insights and tangible benefits.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

FoundationaLLM is a platform designed for deploying, scaling, securing, and governing generative AI in enterprises. It allows users to create AI agents grounded in enterprise data, integrate REST APIs, experiment with large language models, centrally manage AI agents and assets, deploy scalable vectorization data pipelines, enable non-developer users to create their own AI agents, control access with role-based access controls, and harness capabilities from Azure AI and Azure OpenAI. The platform simplifies integration with enterprise data sources, provides fine-grain security controls, load balances across multiple endpoints, and is extensible to new data sources and orchestrators. FoundationaLLM addresses the need for customized copilots or AI agents that are secure, licensed, flexible, and suitable for enterprise-scale production.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

TheCodersGig is an AI-powered open-source social network platform for developers, facilitating seamless connection and collaboration. It features an integrated utility marketplace for creating plugins easily, automating backend development with scalable code. The user-friendly interface supports API integration, data models, databases, authentication, and authorization. The platform's architecture includes frontend, backend, AI services, database, marketplace, security, and DevOps layers, enabling customization and diverse integrations. Key components encompass technologies like React.js, Node.js, Python-based AI frameworks, SQL/NoSQL databases, payment gateways, security protocols, and DevOps tools for automation and scalability.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

Laravel Slower is a powerful package designed for Laravel developers to optimize the performance of their applications by identifying slow database queries and providing AI-driven suggestions for optimal indexing strategies and performance improvements. It offers actionable insights for debugging and monitoring database interactions, enhancing efficiency and scalability.

code2prompt is a command-line tool that converts your codebase into a single LLM prompt with a source tree, prompt templating, and token counting. It automates generating LLM prompts from codebases of any size, customizing prompt generation with Handlebars templates, respecting .gitignore, filtering and excluding files using glob patterns, displaying token count, including Git diff output, copying prompt to clipboard, saving prompt to an output file, excluding files and folders, adding line numbers to source code blocks, and more. It helps streamline the process of creating LLM prompts for code analysis, generation, and other tasks.

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