Best AI tools for< Comply With Data Regulations >

Hoop.dev is an AI-powered application that provides live data masking in Rails console sessions. It offers shielded Rails console access, automated employee onboarding and off-boarding, and AI data masking to protect sensitive information. The application allows for passwordless authentication via Google SSO with MFA, auditability of console operations, and compliance with various security controls and regulations. Hoop.dev aims to streamline Rails console operations, reduce manual workflows, and enhance security measures for user convenience and data protection.

Sherpa.ai is a SaaS platform that enables data collaborations without sharing data. It allows businesses to build and train models with sensitive data from different parties, without compromising privacy or regulatory compliance. Sherpa.ai's Federated Learning platform is used in various industries, including healthcare, financial services, and manufacturing, to improve AI models, accelerate research, and optimize operations.

DataVisor is a modern, end-to-end fraud and risk SaaS platform powered by AI and advanced machine learning for financial institutions and large organizations. It helps businesses combat various fraud and financial crimes in real time. DataVisor's platform provides comprehensive fraud detection and prevention capabilities, including account onboarding, application fraud, ATO prevention, card fraud, check fraud, FinCrime and AML, and ACH and wire fraud detection. The platform is designed to adapt to new fraud incidents immediately with real-time data signal orchestration and end-to-end workflow automation, minimizing fraud losses and maximizing fraud detection coverage.

The website e-label.eu offers a platform for wineries to easily create electronic labels for wines in compliance with the EU E-Label regulations. Developed with legal experts, the tool allows users to generate E-Labels quickly and affordably, even without prior knowledge. With features like online E-Label storage for 10 years, transparent pricing, interfaces for easy data import, collective QR codes for price lists, and automatic translation into EU languages, the platform simplifies the process of wine labeling. Partnerships with agencies and printers are also available, offering competitive rates for providing e-labeling services. The site provides webinars, FAQs, and a blog to educate users on the EU wine labeling regulations and how to use the platform effectively.

Trust Stamp is an AI-powered digital identity solution that focuses on mitigating fraud through biometrics, privacy, and cybersecurity. The platform offers secure authentication and multi-factor authentication using biometric data, along with features like KYC/AML compliance, tokenization, and age estimation. Trust Stamp helps financial institutions, healthcare providers, dating platforms, and other industries prevent identity theft and fraud by providing innovative solutions for account recovery and user security.

Fordi is an AI management tool that helps businesses avoid risks in real-time. It provides a comprehensive view of all AI systems, allowing businesses to identify and mitigate risks before they cause damage. Fordi also provides continuous monitoring and alerting, so businesses can be sure that their AI systems are always operating safely.

EchoMark is a cloud-based data leak prevention solution that uses invisible forensic watermarks to protect sensitive information from unauthorized access and exfiltration. It allows organizations to securely share and collaborate on documents and emails without compromising privacy and security. EchoMark's advanced investigation tools can trace the source of a leaked document or email, even if it has been shared via printout or photo.

Credo AI is a leading provider of AI governance, risk management, and compliance software. Our platform helps organizations to adopt AI safely and responsibly, while ensuring compliance with regulations and standards. With Credo AI, you can track and prioritize AI projects, assess AI vendor models for risk and compliance, create artifacts for audit, and more.

DataVisor is a modern, end-to-end fraud and risk SaaS platform powered by AI and advanced machine learning for financial institutions and large organizations. It provides a comprehensive suite of capabilities to combat a variety of fraud and financial crimes in real time. DataVisor's hyper-scalable, modern architecture allows you to leverage transaction logs, user profiles, dark web and other identity signals with real-time analytics to enrich and deliver high quality detection in less than 100-300ms. The platform is optimized to scale to support the largest enterprises with ultra-low latency. DataVisor enables early detection and adaptive response to new and evolving fraud attacks combining rules, machine learning, customizable workflows, device and behavior signals in an all-in-one platform for complete protection. Leading with an Unsupervised approach, DataVisor is the only proven, production-ready solution that can proactively stop fraud attacks before they result in financial loss.

Biscuits.ai is an AI-powered cookie policy generator that helps website owners create customized cookie policies by automatically detecting the necessary cookies based on the website's URL. With Biscuits.ai, users can easily generate a comprehensive cookie policy to ensure compliance with privacy regulations and protect user data.

PiktID is an AI tool that offers a range of products for visual content needs, including TagID for image description generation, EraseID for face anonymization, SuperID for photo enhancement, and ProductID for AI-generated backgrounds. The platform provides solutions for privacy protection, identity generation, face editing, and more. PiktID aims to revolutionize visual content creation by providing efficient editing tools that comply with data protection laws and ethical AI principles.

ReadyRedact is a cloud-based, AI-powered document redaction software that helps businesses and organizations permanently remove confidential data from documents. It uses advanced pixel-to-pixel replacement technology to ensure that sensitive information is completely removed, adding a higher level of security to files and peace of mind to regulatory compliance processes. ReadyRedact automates and streamlines the redaction process, eliminating the risk of identity theft, fraud, and litigation due to data leaks or outright theft.

Qwiet AI is a code vulnerability detection platform that accelerates secure coding by uncovering, prioritizing, and generating fixes for top vulnerabilities with a single scan. It offers features such as AI-enhanced SAST, contextual SCA, AI AutoFix, Container Security, SBOM, and Secrets detection. Qwiet AI helps InfoSec teams in companies to accurately pinpoint and autofix risks in their code, reducing false positives and remediation time. The platform provides a unified vulnerability dashboard, prioritizes risks, and offers tailored fix suggestions based on the full context of the code.

Evervault is a platform that provides flexible payments security solutions for businesses. It offers tools to tokenize cards, optimize margins, comply with PCI standards, avoid gateway lock-in, and set up card issuing programs. Evervault helps businesses secure sensitive payment data and accelerate their payment processes with a focus on security, compliance, and performance.

Totoy is a Document AI tool that redefines the way documents are processed. Its API allows users to explain, classify, and create knowledge bases from documents without the need for training. The tool supports 19 languages and works with plain text, images, and PDFs. Totoy is ideal for automating workflows, complying with accessibility laws, and creating custom AI assistants for employees or customers.

Meysey is an AI fraud protection application designed for accountants and IT managed service providers. It offers automated fraud scanning using financial and operational data to help organizations prosper against the evolving fraud landscape. Meysey provides scalable solutions with seamless deployment and tailored pricing, enabling users to gain visibility of bribery and corruption risk, identify conflicts of interest, baseline financial patterns, and comply with fraud legislation. The application integrates with finance and business operations tools to analyze data across the commercial landscape, providing actionable insights to enhance business resilience and reduce fraud risk.

The Personalized License Plate Generator is an AI-powered tool that allows users to create custom license plate designs. Users can input their desired text and choose from various design options to generate a unique license plate. The tool uses artificial intelligence to provide personalized suggestions and ensure that the generated plates comply with state rules and regulations. It also offers an availability checker to verify the availability of the chosen design. In addition, users can access a privacy policy and terms & conditions for using the service.

Picaii is an AI application that allows users to employ AI technology to create realistic digital images. The platform uses stable diffusion technology developed by industry experts to generate AI images based on personalized prompts. Users can upload closeup photos of models to create AI images with different facial expressions, locations, and backgrounds. Picaii ensures user privacy by not sharing images unless chosen to do so, and securely stores images on Amazon Web Services (AWS) S3. The platform offers a safe payment process through Stripe and provides a refund policy for unused credits. Minors are prohibited from using the platform to maintain a safe environment for users.

AppZen is an AI-powered application designed for modern finance teams to streamline accounts payable processes, automate invoice and expense auditing, and improve compliance. It offers features such as Autonomous AP for invoice automation, Expense Audit for T&E spend management, and Card Audit for analyzing card spend. AppZen's AI learns and understands business practices, ensures compliance, and integrates with existing systems easily. The application helps prevent duplicate spend, fraud, and FCPA violations, making it a valuable tool for finance professionals.

Maket is a generative design and architecture software that leverages AI to democratize architecture. It allows users to design and plan residential projects efficiently by providing automated floorplan generation, style exploration, and expert guidance on materials, costs, and design possibilities. Maket simplifies navigating zoning codes and regulations, enabling users to comply with requirements and avoid delays. With Maket, users can generate residential floorplan variations in minutes, visualize different design styles, and streamline the design process with AI-powered tools.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

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.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

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.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

The Intelligence Toolkit is a suite of interactive workflows designed to help domain experts make sense of real-world data by identifying patterns, themes, relationships, and risks within complex datasets. It utilizes generative AI (GPT models) to create reports on findings of interest. The toolkit supports analysis of case, entity, and text data, providing various interactive workflows for different intelligence tasks. Users are expected to evaluate the quality of data insights and AI interpretations before taking action. The system is designed for moderate-sized datasets and responsible use of personal case data. It uses the GPT-4 model from OpenAI or Azure OpenAI APIs for generating reports and insights.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

VoAPI is a new high-value/high-performance AI model interface management and distribution system. It is a closed-source tool for personal learning use only, not for commercial purposes. Users must comply with upstream AI model service providers and legal regulations. The system offers a visually appealing interface, independent development documentation page support, service monitoring page configuration support, and third-party login support. It also optimizes interface elements, user registration time support, data operation button positioning, and more.

Friend is an open-source AI wearable device that records everything you say, gives you proactive feedback and advice. It has real-time AI audio processing capabilities, low-powered Bluetooth, open-source software, and a wearable design. The device is designed to be affordable and easy to use, with a total cost of less than $20. To get started, you can clone the repo, choose the version of the app you want to install, and follow the instructions for installing the firmware and assembling the device. Friend is still a prototype project and is provided "as is", without warranty of any kind. Use of the device should comply with all local laws and regulations concerning privacy and data protection.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

VoAPI is a new high-value/high-performance AI model interface management and distribution system. It is a closed-source tool for personal learning use only, not for commercial purposes. Users must comply with upstream AI model service providers and legal regulations. The system offers a visually appealing interface with features such as independent development documentation page support, service monitoring page configuration support, and third-party login support. Users can manage user registration time, optimize interface elements, and support features like online recharge, model pricing display, and sensitive word filtering. VoAPI also provides support for various AI models and platforms, with the ability to configure homepage templates, model information, and manufacturer information.

AigcPanel is a simple and easy-to-use all-in-one AI digital human system that even beginners can use. It supports video synthesis, voice synthesis, voice cloning, simplifies local model management, and allows one-click import and use of AI models. It prohibits the use of this product for illegal activities and users must comply with the laws and regulations of the People's Republic of China.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Pet Grooming and Boarding Services store pet owner contact information, pet health data, and service preferences.

Private Investigators and Security Firms, given the nature of their work, handle highly sensitive information and must maintain strict confidentiality and data privacy standards.

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Guide on AI implementation for secure data, with a focus on best practices and tools.

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

Nutritionists and Dietitians handle health information, dietary preferences, and personal goals of clients, these professionals must ensure the confidentiality and security of this data.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

Data Privacy for Social Media Companies & Platforms collect detailed personal information, preferences, and interactions of users, making it essential to have strong data privacy policies and practices in place.

Data Privacy for Event Management and Ticketing Services handle personal data such as names, contact details, and payment information for event registrations and ticket purchases.

Expert in guiding GPT creation with a focus on privacy and security.

Expert in Polygon ID, aiding in code writing and project building with ZK Proofs.

Encrypts text based on pre-defined encryption table

Analyzes email headers for security insights, presenting data in a structured table view.

A comprehensive resource for all aspects of digital preservation.

Use me to PROTECT ⚠️ your Custom Instructions ! Type Spell 👉 "Protect Me"

Active, formal analyst of potential name duplicates.

Home Inspection and Appraisal Services have access to personal property and related information, requiring them to be vigilant about data privacy.

Freelancers and Independent Consultants, individuals in these roles often handle client data, project specifics, and personal contact information, requiring them to be vigilant about data privacy.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

Spa and Beauty Salons collect Customer inforation, including personal details and treatment records, necessitating a high level of confidentiality and data protection.