Best AI tools for< Monitor Cloud Security >

OpenBuckets is a web application designed to help users find and secure open buckets in cloud storage systems. It provides a simple and efficient way to identify publicly accessible storage buckets, allowing users to take necessary actions to protect their data and maintain security. With OpenBuckets, users can easily scan cloud storage systems for open buckets and receive alerts for any potential security risks. The application aims to enhance data privacy and security by empowering users to proactively manage their cloud storage configurations.

Palo Alto Networks is a cybersecurity company offering advanced security solutions powered by Precision AI to protect modern enterprises from cyber threats. The company provides network security, cloud security, and AI-driven security operations to defend against AI-generated threats in real time. Palo Alto Networks aims to simplify security and achieve better security outcomes through platformization, intelligence-driven expertise, and proactive monitoring of sophisticated threats.

Gamma.AI is a cloud-based data loss prevention (DLP) solution that uses artificial intelligence (AI) to protect sensitive data in SaaS applications. It provides real-time data discovery and classification, user behavior analytics, and automated remediation capabilities. Gamma.AI is designed to help organizations meet compliance requirements and protect their data from unauthorized access, theft, and loss.

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.

Coram AI is a modern business video security platform that offers AI-powered solutions for various industries such as warehouse, manufacturing, healthcare, education, and more. It provides advanced features like gun detection, productivity alerts, facial recognition, and safety alerts to enhance security and operations. Coram AI's flexible architecture allows users to seamlessly integrate with any IP camera and scale effortlessly to meet their demands. With natural language search capabilities, users can quickly find relevant footage and improve decision-making. Trusted by local businesses and Fortune 500 companies, Coram AI delivers real business value through innovative AI tools and reliable customer support.

VOLT AI is a cloud-based enterprise security application that utilizes advanced AI technology to intercept threats in real-time. The application offers solutions for various industries such as education, corporate, and cities, focusing on perimeter security, medical emergencies, and weapons detection. VOLT AI provides features like unified cameras, video intelligence, real-time notifications, automated escalations, and digital twin creation for advanced situational awareness. The application aims to enhance safety and security by detecting security risks and notifying users promptly.

Turing AI is a cloud-based video security system powered by artificial intelligence. It offers a range of AI-powered video surveillance products and solutions to enhance safety, security, and operations. The platform provides smart video search capabilities, real-time alerts, instant video sharing, and hardware offerings compatible with various cameras. With flexible licensing options and integration with third-party devices, Turing AI is trusted by customers across industries for its robust and innovative approach to cloud video security.

Traceable is an AI-driven application designed to enhance API security for Cloud-Native Apps. It collects API traffic across the application landscape and utilizes advanced context-based behavioral analytics AI engine to provide insights on APIs, data exposure, threat analytics, and forensics. The platform offers features for API cataloging, activity monitoring, endpoint details, ownership, vulnerabilities, protection against security events, testing, analytics, and more. Traceable also allows for role-based access control, policy configuration, data classification, and integration with third-party solutions for data collection and security. It is a comprehensive tool for API security and threat detection in modern cloud environments.

DeepSentinel is an AI application that provides secure AI workflows with affordable deep data privacy. It offers a robust, scalable platform for safeguarding AI processes with advanced security, compliance, and seamless performance. The platform allows users to track, protect, and control their AI workflows, ensuring secure and efficient operations. DeepSentinel also provides real-time threat monitoring, granular control, and global trust for securing sensitive data and ensuring compliance with international regulations.

Arize AI is an AI observability tool designed to monitor and troubleshoot AI models in production. It provides configurable and sophisticated observability features to ensure the performance and reliability of next-gen AI stacks. With a focus on ML observability, Arize offers automated setup, a simple API, and a lightweight package for tracking model performance over time. The tool is trusted by top companies for its ability to surface insights, simplify issue root causing, and provide a dedicated customer success manager. Arize is battle-hardened for real-world scenarios, offering unparalleled performance, scalability, security, and compliance with industry standards like SOC 2 Type II and HIPAA.

Dynatrace is a modern cloud platform that offers unified observability and security solutions to simplify cloud complexity and drive innovation. Powered by causal AI, Dynatrace provides analytics and automation capabilities to help businesses monitor and secure their full stack, solve digital challenges, and make better business decisions in real-time. Trusted by thousands of global brands, Dynatrace empowers teams to deliver flawless digital experiences, drive intelligent cloud ecosystem automations, and solve any use-case with custom solutions.

Spot AI is a video AI platform that transforms cameras into intelligent security tools for businesses. It offers Remote Security Agents, AI Copilot, Semantic Search, and other features to enhance security, incident resolution, worker safety, and operational efficiency. With state-of-the-art Video AI technology, Spot AI provides real-time visibility, rapid incident resolution, and predictive alerts to help organizations optimize their operations. The platform is designed to create safer working environments, reduce workplace injuries, and increase throughput. Spot AI is trusted by over 1,000 organizations and offers a range of solutions for various industries, including manufacturing, education, healthcare, and retail.

Kami Home is an AI-powered security application that provides effortless safety and security for homes. It offers smart alerts, secure cloud video storage, and a Pro Security Alarm system with 24/7 emergency response. The application uses AI-vision to detect humans, vehicles, and animals, ensuring that users receive custom alerts for relevant activities. With features like Fall Detect for seniors living at home, Kami Home aims to protect families and provide peace of mind through advanced technology.

Netify provides network intelligence and visibility. Its solution stack starts with a Deep Packet Inspection (DPI) engine that passively collects data on the local network. This lightweight engine identifies applications, protocols, hostnames, encryption ciphers, and other network attributes. The software can be integrated into network devices for traffic identification, firewalling, QoS, and cybersecurity. Netify's Informatics engine collects data from local DPI engines and uses the power of a public or private cloud to transform it into network intelligence. From device identification to cybersecurity risk detection, Informatics provides a way to take a proactive approach to manage network threats, bottlenecks, and usage. Lastly, Netify's Data Feeds provide data to help vendors understand how applications behave on the Internet.

DevSecCops is an AI-driven automation platform designed to revolutionize DevSecOps processes. The platform offers solutions for cloud optimization, machine learning operations, data engineering, application modernization, infrastructure monitoring, security, compliance, and more. With features like one-click infrastructure security scan, AI engine security fixes, compliance readiness using AI engine, and observability, DevSecCops aims to enhance developer productivity, reduce cloud costs, and ensure secure and compliant infrastructure management. The platform leverages AI technology to identify and resolve security issues swiftly, optimize AI workflows, and provide cost-saving techniques for cloud architecture.

Modal is a high-performance cloud platform designed for developers, AI data, and ML teams. It offers a serverless environment for running generative AI models, large-scale batch jobs, job queues, and more. With Modal, users can bring their own code and leverage the platform's optimized container file system for fast cold boots and seamless autoscaling. The platform is engineered for large-scale workloads, allowing users to scale to hundreds of GPUs, pay only for what they use, and deploy functions to the cloud in seconds without the need for YAML or Dockerfiles. Modal also provides features for job scheduling, web endpoints, observability, and security compliance.

Nexigen is an award-winning IT and cybersecurity partner that provides expert service, support, and strategic insights to enterprises, SMBs, and fast-growing startups. They offer managed IT services, IT support, professional services, artificial intelligence solutions, cybersecurity, cloud solutions, and network services. With a team of over 70 employees and a focus on confidence-as-a-service™, Nexigen ensures businesses are always on and moving ahead.

OctoEverywhere is a cloud service designed for the 3D printing community, offering free and powerful tools for remote access, AI print failure detection, print notifications, live streaming, and more. It aims to empower users by providing unlimited full remote access, webcam streaming, and AI image processing capabilities. The service is community-funded and prioritizes privacy and security, ensuring end-to-end encryption and modern security practices.

Kindo is an AI-powered platform designed for DevSecOps teams to automate tasks, write doctrine, and orchestrate infrastructure responses. It offers AI-powered Runbook automations to streamline workflows, automate tedious tasks, and enhance security controls. Kindo enables users to offload time-consuming tasks to AI Agents, prioritize critical tasks, and monitor AI-related activities for compliance and informed decision-making. The platform provides a comprehensive vantage point for modern infrastructure defense and instrumentation, allowing users to create repeatable processes, automate vulnerability assessment and remediation, and secure multi-cloud IAM configurations.

Frigate is an open source NVR application that focuses on locally processed AI object detection for security camera monitoring. It allows users to run advanced analysis on their camera feeds without sending data to the cloud, reducing false positives and providing precise notifications. Frigate offers custom models with Frigate+ and integrates with popular home automation platforms for enhanced functionality.

uuWAF is an industrial-grade, free, high-performance, highly extensible web application and API security protection product that supports AI and semantic engines.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.

Züs is a high-performance cloud on a fast blockchain offering privacy and configurable uptime. It uses erasure code to distribute data between data and parity servers, allowing flexibility for IT managers to design for security and uptime. Users can easily share encrypted data with business partners through a proxy key sharing protocol. The ecosystem includes apps like Blimp for cloud migration, Vult for personal cloud storage, and Chalk for NFT artists. Other apps include Bolt for secure wallet and staking, Atlus for blockchain explorer, and Chimney for network participation. The QoS protocol challenges providers based on response time, while the privacy protocol enables secure data sharing. Züs supports hybrid and multi-cloud architectures, allowing users to improve regulatory compliance and security requirements.

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.

Pipeshub-ai is a versatile tool for automating data pipelines in AI projects. It provides a user-friendly interface to design, deploy, and monitor complex data workflows, enabling seamless integration of various AI models and data sources. With Pipeshub-ai, users can easily create end-to-end pipelines for tasks such as data preprocessing, model training, and inference, streamlining the AI development process and improving productivity. The tool supports integration with popular AI frameworks and cloud services, making it suitable for both beginners and experienced AI practitioners.

Trapster Community is a low-interaction honeypot designed for internal networks or credential capture. It monitors and detects suspicious activities, providing deceptive security layer. Features include mimicking network services, asynchronous framework, easy configuration, expandable services, and HTTP honeypot engine with AI capabilities. Supported protocols include DNS, HTTP/HTTPS, FTP, LDAP, MSSQL, POSTGRES, RDP, SNMP, SSH, TELNET, VNC, and RSYNC. The tool generates various types of logs and offers HTTP engine with AI capabilities to emulate websites using YAML configuration. Contributions are welcome under AGPLv3+ license.

Twelvet is a permission management system based on Spring Cloud Alibaba that serves as a framework for rapid development. It is a scaffolding framework based on microservices architecture, aiming to reduce duplication of business code and provide a common core business code for both microservices and monoliths. It is designed for learning microservices concepts and development, suitable for website management, CMS, CRM, OA, and other system development. The system is intended to quickly meet business needs, improve user experience, and save time by incubating practical functional points in lightweight, highly portable functional plugins.

Euler's Shield is a decentralized, AI-powered financial system designed to stabilize the value of Pi Coin at $314.159. It combines blockchain, machine learning, and cybersecurity to ensure the security, scalability, and decentralization of the Pi Coin ecosystem.

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.

A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

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.

The LLM Engineer's Handbook is an official repository containing a comprehensive guide on creating an end-to-end LLM-based system using best practices. It covers data collection & generation, LLM training pipeline, a simple RAG system, production-ready AWS deployment, comprehensive monitoring, and testing and evaluation framework. The repository includes detailed instructions on setting up local and cloud dependencies, project structure, installation steps, infrastructure setup, pipelines for data processing, training, and inference, as well as QA, tests, and running the project end-to-end.

Dify is an open-source LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more. It allows users to quickly go from prototype to production. Key features include: 1. Workflow: Build and test powerful AI workflows on a visual canvas. 2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions. 3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features. 4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval. 5. Agent capabilities: Define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools. 6. LLMOps: Monitor and analyze application logs and performance over time. 7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs for easy integration into your own business logic.

Gateway is a tool that streamlines requests to 100+ open & closed source models with a unified API. It is production-ready with support for caching, fallbacks, retries, timeouts, load balancing, and can be edge-deployed for minimum latency. It is blazing fast with a tiny footprint, supports load balancing across multiple models, providers, and keys, ensures app resilience with fallbacks, offers automatic retries with exponential fallbacks, allows configurable request timeouts, supports multimodal routing, and can be extended with plug-in middleware. It is battle-tested over 300B tokens and enterprise-ready for enhanced security, scale, and custom deployments.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.

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Comprehensive resource for integrating security into the software development lifecycle.

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Manages and optimizes organization's cloud resources and services.

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阿里云的系统管理与运维服务（OOS）专家。它利用阿里云的文档为各种运维操作场景推荐具体的OOS模板，提供模板名称和详细描述。

Specialized advisor on Azure costs and optimizations

Expert DevOps advisor, formal and considerate.

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Docker & cloud computing expert

Expert in Azure's latest services, including Application Insights, API Management, and more.

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Expert on Jelastic/Virtuozzo PaaS solutions.

Guide for AWS OpsWorks to SSM migration

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