Best AI tools for< Enforce Access Control >

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.

KLapper is a private and secure GenAI solution designed for law firms, integrating with Microsoft 365 Copilot to provide intelligence from various applications. It offers deep integration with Microsoft Teams and Word, ensuring seamless access within Microsoft 365. KLapper enforces robust security through mirrored DMS role-based access control and allows firms to deploy it securely within their own Microsoft Azure environment. Its Agentic AI capabilities automate administrative tasks, streamlining operations and reducing manual workload. The application assists in legal research, litigation support, document review and analysis, transactional skills, personalized legal support, and billing support.

Backmesh is an AI tool that serves as a proxy on edge CDN servers, enabling secure and direct access to LLM APIs without the need for a backend or SDK. It allows users to call LLM APIs from their apps, ensuring protection through JWT verification and rate limits. Backmesh also offers user analytics for LLM API calls, helping identify usage patterns and enhance user satisfaction within AI applications.

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

Augmentations.ai is a model-agnostic AI agent framework in Ruby that offers AI-powered code reviews and smart weekly summaries to enhance development workflows. It enables developers to enforce sophisticated, context-aware rules and track team progress effortlessly across all projects. The tool also allows for rapid experimentation and building of AI-powered devtools through its AI automation capabilities. Augmentations.ai is built with the Sublayer Rubygem and features projects from the Sublayer community. Users can access early access by requesting it on the website.

DocDriven is an AI-powered documentation-driven API development tool that provides a shared workspace for optimizing the API development process. It helps in designing APIs faster and more efficiently, collaborating on API changes in real-time, exploring all APIs in one workspace, generating AI code, maintaining API documentation, and much more. DocDriven aims to streamline communication and coordination among backend developers, frontend developers, UI designers, and product managers, ensuring high-quality API design and development.

The Transparency Coalition is a platform dedicated to advocating for legislation and transparency in the field of artificial intelligence. It aims to create AI safeguards for the greater good by focusing on training data, accountability, and ethical practices in AI development and deployment. The platform emphasizes the importance of regulating training data to prevent misuse and harm caused by AI systems. Through advocacy and education, the Transparency Coalition seeks to promote responsible AI innovation and protect personal privacy.

ModelOp is the leading AI Governance software for enterprises, providing a single source of truth for all AI systems, automated process workflows, real-time insights, and integrations to extend the value of existing technology investments. It helps organizations safeguard AI initiatives without stifling innovation, ensuring compliance, accelerating innovation, and improving key performance indicators. ModelOp supports generative AI, Large Language Models (LLMs), in-house, third-party vendor, and embedded systems. The software enables visibility, accountability, risk tiering, systemic tracking, enforceable controls, workflow automation, reporting, and rapid establishment of AI governance.

Writer is a full-stack generative AI platform that offers industry-leading models Palmyra-Med and Palmyra-Fin. It provides a secure enterprise platform to embed generative AI into any business process, enforce legal and brand compliance, and gain insights through analysis. Writer's platform abstracts complexity, allowing users to focus on AI-first workflows without the need to maintain infrastructure. The platform includes Palmyra LLMs, Knowledge Graph, and AI guardrails to ensure quality, control, transparency, accuracy, and security in AI applications.

Loti is an online protection tool designed for public figures, including major artists, athletes, executives, and creators. It scans the internet daily to identify instances where the user's face or voice appear, takes down infringing accounts and content, and recaptures revenue. Loti offers features such as protecting against fake accounts and deepfakes, enforcing licensing agreements, and detecting and eliminating fake social media accounts. It is a valuable tool for managing and safeguarding a public figure's online presence and brand image.

DryRun Security is a contextual security analysis tool designed to help organizations identify and mitigate risks in their codebase. By providing real-time insights and feedback, DryRun Security empowers security leaders, AppSec engineers, and developers to proactively secure their code and streamline compliance efforts. The tool goes beyond traditional pattern-matching approaches by considering codepaths, developer intent, and language-specific checks to uncover vulnerabilities in context. With customizable code policies and natural language enforcement, DryRun Security offers a user-friendly experience for enhancing code security and collaboration between security and development teams.

Watchdog is an AI-powered chat moderation tool designed to fully automate chat moderation for Telegram communities. It helps community owners tackle rulebreakers, trolls, and spambots effortlessly, ensuring consistent rule enforcement and user retention. With features like automatic monitoring, customizable rule enforcement, and quick setup, Watchdog offers significant cost savings and eliminates the need for manual moderation. The tool is developed by Ben, a solo developer, who created it to address the challenges he faced in managing his own community. Watchdog aims to save time, money, and enhance user experience by swiftly identifying and handling rule violations.

Pulumi is an AI-powered infrastructure as code tool that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers features such as generative AI-powered cloud management, security enforcement through policies, automated deployment workflows, asset management, compliance remediation, and AI insights over the cloud. Pulumi helps teams provision, automate, and evolve cloud infrastructure, centralize and secure secrets management, and gain security, compliance, and cost insights across all cloud assets.

Protect AI is a comprehensive platform designed to secure AI systems by providing visibility and manageability to detect and mitigate unique AI security threats. The platform empowers organizations to embrace a security-first approach to AI, offering solutions for AI Security Posture Management, ML model security enforcement, AI/ML supply chain vulnerability database, LLM security monitoring, and observability. Protect AI aims to safeguard AI applications and ML systems from potential vulnerabilities, enabling users to build, adopt, and deploy AI models confidently and at scale.

Frontitude is an AI writing assistant designed for design teams to help write engaging and consistent UX content effortlessly within Figma. It empowers teams to brainstorm, get copy suggestions, and deliver consistent content without leaving the design platform. The tool integrates content guidelines into the design system, streamlines design reviews, and works great with the Frontitude platform. Users can save writing time, maintain a consistent voice, and generate ideas with the help of this AI-powered writing assistant.

Yokoy is an AI-powered spend management suite that helps midsize companies and global enterprises save money on every dollar spent. It automates accounts payable and expense management tasks, streamlines global data, keeps spend under control, and enforces compliance. Yokoy's API facilitates seamless integrations with enterprise-level systems for end-to-end automation across entities and geographies.

DeepSource is a Unified DevSecOps Platform that secures the entire development lifecycle with static analysis and AI. It offers code quality and SAST, open-source security, and is trusted by over 6,000 companies. The platform helps in finding and fixing security vulnerabilities before code is merged, with a low false-positive rate and customizable security gates for pull requests. DeepSource is built for modern software development, providing features like Autofix™ AI, code coverage, and integrations with popular tools like Jira and GitHub Issues. It offers detailed reports, issue suppression, and metric thresholds to ensure clean and secure code shipping.

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.

Kubiya is an AI-powered platform designed to reduce Time-To-Automation for Developer and Infrastructure Operations teams. It allows users to focus on high-impact work by automating routine tasks and processes, powered by an Agentic-Native Platform. Kubiya is trusted by world-class engineering and operations teams, offering features such as AI teammates, JIT Permissions, Infrastructure Provisioning, Help Desk support, and Incident Response automation.

42Signals is an AI-driven eCommerce analytics software that provides real-time insights and analytics for consumer brands. It empowers businesses to anticipate market trends, monitor competitors, optimize digital shelves, and drive sales growth with unmatched accuracy and speed. The platform offers a suite of tools including Digital Shelf Analytics, Competitor Analysis, Voice of Customer Analytics, and more to help businesses dominate the digital marketplace.

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.

The Intel® Geti™ SDK is a python package that enables teams to rapidly develop AI models by easing the complexities of model development and enhancing collaboration between teams. It provides tools to interact with an Intel® Geti™ server via the REST API, allowing for project creation, downloading, uploading, deploying for local inference with OpenVINO, setting project and model configuration, launching and monitoring training jobs, and media upload and prediction. The SDK also includes tutorial-style Jupyter notebooks demonstrating its usage.

This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for MongoDB vCore as the vector database. You can use it as a starting point for building more complex AI applications.

COLD-Attack is a framework designed for controllable jailbreaks on large language models (LLMs). It formulates the controllable attack generation problem and utilizes the Energy-based Constrained Decoding with Langevin Dynamics (COLD) algorithm to automate the search of adversarial LLM attacks with control over fluency, stealthiness, sentiment, and left-right-coherence. The framework includes steps for energy function formulation, Langevin dynamics sampling, and decoding process to generate discrete text attacks. It offers diverse jailbreak scenarios such as fluent suffix attacks, paraphrase attacks, and attacks with left-right-coherence.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

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Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

lmstudio.js is a pre-release alpha client SDK for LM Studio, allowing users to use local LLMs in JS/TS/Node. It is currently undergoing rapid development with breaking changes expected. Users can follow LM Studio's announcements on Twitter and Discord. The SDK provides API usage for loading models, predicting text, setting up the local LLM server, and more. It supports features like custom loading progress tracking, model unloading, structured output prediction, and cancellation of predictions. Users can interact with LM Studio through the CLI tool 'lms' and perform tasks like text completion, conversation, and getting prediction statistics.

VectorFlow is an open source, high throughput, fault tolerant vector embedding pipeline. It provides a simple API endpoint for ingesting large volumes of raw data, processing, and storing or returning the vectors quickly and reliably. The tool supports text-based files like TXT, PDF, HTML, and DOCX, and can be run locally with Kubernetes in production. VectorFlow offers functionalities like embedding documents, running chunking schemas, custom chunking, and integrating with vector databases like Pinecone, Qdrant, and Weaviate. It enforces a standardized schema for uploading data to a vector store and supports features like raw embeddings webhook, chunk validation webhook, S3 endpoint, and telemetry. The tool can be used with the Python client and provides detailed instructions for running and testing the functionalities.

Unity Catalog is an open and interoperable catalog for data and AI, supporting multi-format tables, unstructured data, and AI assets. It offers plugin support for extensibility and interoperates with Delta Sharing protocol. The catalog is fully open with OpenAPI spec and OSS implementation, providing unified governance for data and AI with asset-level access control enforced through REST APIs.

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.

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The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Awesome-LLM-Constrained-Decoding is a curated list of papers, code, and resources related to constrained decoding of Large Language Models (LLMs). The repository aims to facilitate reliable, controllable, and efficient generation with LLMs by providing a comprehensive collection of materials in this domain.

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