Best AI tools for< Manage Data Security >

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.

OneTrust is a Trust Intelligence Cloud Solutions platform that leverages data and artificial intelligence to drive trusted innovation across privacy, security, and ethics initiatives. It offers a comprehensive suite of solutions for privacy management, data discovery, security, consent and preferences, AI governance, technology risk and compliance, compliance automation, third-party risk, and ethics program management. With over 14,000 customers worldwide, OneTrust helps organizations manage risk, ensure compliance, and build trust through responsible data and AI usage.

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.

Infobox.ai is a personal AI Assistant application that helps users make sense of their information by providing a centralized platform for data management. Users can create and customize their AI Assistant, import content to a private AI database, collaborate on information sharing, and optimize their assistant through retraining. The application focuses on streamlining customer support, simplifying data analysis, and promoting knowledge sharing while prioritizing data security and integrations with other tools. Elevux, the creators of Infobox.ai, aim to reshape the digital landscape by offering an intuitive AI tool for business data handling.

Responsly is a powerful survey maker and experience management platform that helps businesses enhance customer, employee, and user experiences. It offers features such as email surveys, website feedback surveys, in-app surveys, WhatsApp surveys, and more. With a focus on customer satisfaction, employee happiness, and product improvement, Responsly provides tools for creating surveys, forms, quizzes, and tests. The platform is GDPR and CCPA compliant, ensuring data security and privacy. It also offers integrations with popular tools like Slack, Notion, MailChimp, and Google Sheets.

Dust is a customizable and secure AI assistant platform that helps businesses amplify their team's potential. It allows users to deploy the best Large Language Models to their company, connect Dust to their team's data, and empower their teams with assistants tailored to their specific needs. Dust is exceptionally modular and adaptable, tailoring to unique requirements and continuously evolving to meet changing needs. It supports multiple sources of data and models, including proprietary and open-source models from OpenAI, Anthropic, and Mistral. Dust also helps businesses identify their most creative and driven team members and share their experience with AI throughout the company. It promotes collaboration with shared conversations, @mentions in discussions, and Slackbot integration. Dust prioritizes security and data privacy, ensuring that data remains private and that enterprise-grade security measures are in place to manage data access policies.

MineOS is an automation-driven platform that focuses on privacy, security, and compliance. It offers a comprehensive suite of tools and solutions to help businesses manage their data privacy needs efficiently. By leveraging AI and special discovery methods, MineOS adapts unique data processes to universal privacy standards seamlessly. The platform provides features such as data mapping, AI governance, DSR automations, consent management, and security & compliance solutions to ensure data visibility and governance. MineOS is recognized as the industry's #1 rated data governance platform, offering cost-effective control of data systems and centralizing data subject request handling.

Sherloq is an AI-powered platform designed for SQL users in data-driven teams. It provides a single source of truth for SQL data, offering deep analysis capabilities and time-saving features. With a focus on accessibility and collaboration, Sherloq allows users to get quick answers to specific questions, share insights with saved queries, and manage SQL repositories efficiently. The platform prioritizes data security, being SOC2 Audit certified, and requires no integrations into user data or metadata. Sherloq is trusted by over 1000 SQL users and is recognized for its fast growth and user satisfaction.

Bemi is an Automatic Audit Trail tool designed for PostgreSQL databases. It allows users to track data changes reliably without the need for complex engineering or costly infrastructure. Bemi offers seamless setup, contextualized data integration, default security measures, and storage in PostgreSQL databases. It is trusted by top tech companies and provides features for reliable and contextualized data tracking, audit & compliance, data recovery, observability & troubleshooting, and building activity feed. Bemi ensures data security, customer-level isolation, and integrates with ORM for easy data enrichment. The tool is loved by many users and has received positive testimonials for its efficiency and effectiveness in data tracking and audit trail management.

Relyance AI is a platform that offers 360 Data Governance and Trust solutions. It helps businesses safeguard against fines and reputation damage while enhancing customer trust to drive business growth. The platform provides visibility into enterprise-wide data processing, ensuring compliance with regulatory and customer obligations. Relyance AI uses AI-powered risk insights to proactively identify and address risks, offering a unified trust and governance infrastructure. It offers features such as data inventory and mapping, automated assessments, security posture management, and vendor risk management. The platform is designed to streamline data governance processes, reduce costs, and improve operational efficiency.

360 FaceVision is an AI-powered attendance management system that utilizes lightning-fast face recognition technology to track attendance accurately and efficiently. It offers a seamless integration with existing management software systems, enabling organizations to manage multiple shifts, customize HR policies, and streamline payroll tasks. The system ensures data security through advanced measures and provides real-time access to attendance data for informed decision-making. With a capacity of over 500,000 faces, it caters to diverse organizational sizes and offers secure cloud storage for data protection and accessibility.

The website offers a Synthetic Data Generation platform with the highest accuracy for free. It provides detailed information on synthetic data, data anonymization, and features a Python Client for data generation. The platform ensures privacy and security, allowing users to create fully anonymous synthetic data from original data. It supports various AI/ML use cases, self-service analytics, testing & QA, and data sharing. The platform is designed for Enterprise organizations, offering scalability, privacy by design, and the world's most accurate synthetic data.

Consensus is a healthcare interoperability platform that simplifies data exchange and document processing through artificial intelligence technologies. It offers solutions for clinical documentation, HIPAA compliance, natural language processing, and robotic process automation. Consensus enables secure and efficient data exchange among healthcare providers, insurers, and other stakeholders, improving care coordination and operational efficiency.

Shieldbase is an AI-powered enterprise search tool designed to provide secure and efficient search capabilities for businesses. It utilizes advanced artificial intelligence algorithms to index and retrieve information from various data sources within an organization, ensuring quick and accurate search results. With a focus on security, Shieldbase offers encryption and access control features to protect sensitive data. The platform is user-friendly and customizable, making it easy for businesses to implement and integrate into their existing systems. Shieldbase enhances productivity by enabling employees to quickly find the information they need, ultimately improving decision-making processes and overall operational efficiency.

Substratus.AI is a fully managed private LLMs platform that allows users to serve LLMs (Llama and Mistral) in their own cloud account. It enables users to keep control of their data while reducing OpenAI costs by up to 10x. With Substratus.AI, users can utilize LLMs in production in hours instead of weeks, making it a convenient and efficient solution for AI model deployment.

The EMR Software is an AI-powered application designed to streamline healthcare practices by integrating future technologies for accurate outcomes and enhanced care. It offers innovative features such as natural language processing, AI-powered assistant, task automation, and radiology image enhancement. The software aims to reduce medical costs, improve turnover rates, increase medical efficiency, and enhance patient retention rates. It provides data security, clinical management, e-billing processes, revenue management, and tele-monitoring. EMR Software assists in managing clients effortlessly, improving billing operations, maximizing hospital profits, consulting patients remotely, and tracking chronic disease progression.

Datasaur is an advanced text and audio data labeling platform that offers customizable solutions for various industries such as LegalTech, Healthcare, Financial, Media, e-Commerce, and Government. It provides features like configurable annotation, quality control automation, and workforce management to enhance the efficiency of NLP and LLM projects. Datasaur prioritizes data security with military-grade practices and offers seamless integrations with AWS and other technologies. The platform aims to streamline the data labeling process, allowing engineers to focus on creating high-quality models.

Boomi is an AI-powered integration and automation platform that simplifies and accelerates business processes by leveraging generative AI capabilities. With over 20,000 customers worldwide, Boomi offers flexible pricing for small to enterprise-level businesses, ensuring security and compliance with regulatory standards. The platform enables seamless integration, automation, and management of applications, data, APIs, workflows, and event-driven integrations. Boomi AI Agents provide advanced features like AI-powered data classification, automated data mapping, error resolution, and process documentation. Boomi AI empowers businesses to streamline operations, enhance efficiency, and drive growth through proactive business intelligence and cross-team collaboration.

Echobase is an AI tool designed to easily integrate AI into businesses by allowing teams to query, create, and analyze data from their files. It offers advanced AI models tailored to specific business needs, enabling the creation of AI agents capable of tasks like basic Q&A, data analysis, and content creation. Echobase provides a centralized workspace for uploading and querying organizational knowledge bases in real-time, along with features for collaboration and role management. The tool prioritizes data security through robust encryption, API usage, and user-controlled data access.

Kaba.ai is an AI-driven foundation that enables users to create and own a Human-like Model (HLM) that updates, retrains, and applies in real-time as users navigate their lives. The platform aims to mimic how humans function to fully harness the power of AI. Kaba offers features such as Human-like Models, Unified Experience, Full Ownership, Contextual Data, and a personalized journey focused on speed, security, and personalization.

Claude Memory is a Chrome extension that enhances interactions with Claude by storing and retrieving important information from conversations, making interactions personalized and context-aware. It allows users to easily manage and organize stored information, with seamless integration with the Claude AI interface.

Eidos is an extensible framework for managing personal data in one place. It runs inside the browser as a PWA with offline support. It integrates AI features for translation, summarization, and data interaction. Users can customize Eidos with Prompt extension, JavaScript for Formula functions, TypeScript/JavaScript for data processing logic, and build apps using any framework. Eidos is developer-friendly with API & SDK, and uses SQLite standardization for data tables.

Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

Cosdata is a cutting-edge AI data platform designed to power the next generation search pipelines. It features immutability, version control, and excels in semantic search, structured knowledge graphs, hybrid search capabilities, real-time search at scale, and ML pipeline integration. The platform is customizable, scalable, efficient, enterprise-grade, easy to use, and can manage multi-modal data. It offers high performance, indexing, low latency, and high requests per second. Cosdata is designed to meet the demands of modern search applications, empowering businesses to harness the full potential of their data.

BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality. BionicGPT can run on your laptop or scale into the data center.

APIPark is an open-source AI Gateway and Developer Portal that enables users to easily manage, integrate, and deploy AI and API services. It provides robust API management features, including creation, monitoring, and access control, to help developers efficiently and securely develop and manage their APIs. The platform aims to solve challenges such as connecting to powerful AI models, managing complex AI & API call relationships, overseeing API creation and security, simplifying fault detection and troubleshooting, and enhancing the visibility and valuation of data assets.

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.

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.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Get_Airdrop is a powerful tool that simplifies the process of discovering and claiming cryptocurrency airdrops. It supports all major blockchain networks, providing users with a seamless experience in managing their airdrop opportunities. Users can connect their wallet, check eligibility, claim airdrops effortlessly, and manage their claimed airdrops through the platform. The tool offers universal eligibility check, one-click claiming, multi-chain support, secure and private data handling, and a user-friendly interface.

Mem0 Chrome Extension lets you own your memory and preferences across any Gen AI apps like ChatGPT, Claude, Perplexity, etc and get personalized, relevant responses. It allows users to store memories from conversations, retrieve relevant memories during chats, manage and organize stored information, and seamlessly integrate with the Claude AI interface. The extension requires an API key and user ID for connecting to the Mem0 API, and it stores this information locally in the browser. Users can troubleshoot common issues, and contributions to improve the extension are welcome under the MIT License.

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db-ally is a library for creating natural language interfaces to data sources. It allows developers to outline specific use cases for a large language model (LLM) to handle, detailing the desired data format and the possible operations to fetch this data. db-ally effectively shields the complexity of the underlying data source from the model, presenting only the essential information needed for solving the specific use cases. Instead of generating arbitrary SQL, the model is asked to generate responses in a simplified query language.

This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

Pieces for Developers is a closed-source Obsidian plugin designed to revolutionize coding workflows by incorporating key capabilities and favorite features directly into the Obsidian environment. The plugin, Pieces Copilot for Obsidian, enhances coding and problem-solving experiences by providing insights on code snippets, generating samples, and facilitating navigation through PRs. Users can capture, manage, share, and discover code snippets and developer materials with ease, bringing efficiency and organization to their coding experience.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

pgvecto.rs is a Postgres extension written in Rust that provides vector similarity search functions. It offers ultra-low-latency, high-precision vector search capabilities, including sparse vector search and full-text search. With complete SQL support, async indexing, and easy data management, it simplifies data handling. The extension supports various data types like FP16/INT8, binary vectors, and Matryoshka embeddings. It ensures system performance with production-ready features, high availability, and resource efficiency. Security and permissions are managed through easy access control. The tool allows users to create tables with vector columns, insert vector data, and calculate distances between vectors using different operators. It also supports half-precision floating-point numbers for better performance and memory usage optimization.

Watchmakers and Jewelry Designers, high-end businesses dealing with valuable items and personal details of clients, making data privacy and security paramount.

Ensures data accuracy, consistency, and security across organization.

Real Estate Agencies and Brokers deal with personal data of clients, including financial information and preferences, requiring careful handling and protection of such data.

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

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

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

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

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Specialized LLM in computer security, acting as a CISO with 20 years of experience, providing precise, data-driven technical responses to enhance organizational security.

Public transport authorities collect data on travel patterns, fares, and sometimes personal details of passengers, necessitating strong privacy measures.

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

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Expert in answering Data Compliance queries for small businesses in the USA

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