Best AI tools for< Security Solutions Architect >

Protecto is an Enterprise AI Data Security & Privacy Guardrails application that offers solutions for protecting sensitive data in AI applications. It helps organizations maintain data security and compliance with regulations like HIPAA, GDPR, and PCI. Protecto identifies and masks sensitive data while retaining context and semantic meaning, ensuring accuracy in AI applications. The application provides custom scans, unmasking controls, and versatile data protection across structured, semi-structured, and unstructured text. It is preferred by leading Gen AI companies for its robust and cost-effective data security solutions.

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

Community Labs is a modern AI platform that offers advanced business intelligence through a unified AI cloud. It provides real-time insights for decision-making by collecting and analyzing data from various sectors. The platform enables public and private organizations to address challenges, streamline data for maximum impact, and foster innovation and improvement. Community Labs integrates data from diverse sectors like education, healthcare, government, and social services, offering robust capabilities for efficient resource allocation and service delivery. With stringent security standards and advanced AI capabilities, the platform empowers municipal employees to be more productive and impactful.

FriendliAI is a generative AI infrastructure company that offers efficient, fast, and reliable generative AI inference solutions for production. Their cutting-edge technologies enable groundbreaking performance improvements, cost savings, and lower latency. FriendliAI provides a platform for building and serving compound AI systems, deploying custom models effortlessly, and monitoring and debugging model performance. The application guarantees consistent results regardless of the model used and offers seamless data integration for real-time knowledge enhancement. With a focus on security, scalability, and performance optimization, FriendliAI empowers businesses to scale with ease.

Clarifai is an AI Workflow Orchestration Platform that helps businesses establish an AI Operating Model and transition from prototype to production efficiently. It offers end-to-end solutions for operationalizing AI, including Retrieval Augmented Generation (RAG), Generative AI, Digital Asset Management, Visual Inspection, Automated Data Labeling, and Content Moderation. Clarifai's platform enables users to build and deploy AI faster, reduce development costs, ensure oversight and security, and unlock AI capabilities across the organization. The platform simplifies data labeling, content moderation, intelligence & surveillance, generative AI, content organization & personalization, and visual inspection. Trusted by top enterprises, Clarifai helps companies overcome challenges in hiring AI talent and misuse of data, ultimately leading to AI success at scale.

CUJO AI is a global leader in cutting-edge cybersecurity and network intelligence solutions for network operators. The platform offers a range of services including Operator Intelligence, Digital Life Protection, and AI Platform. CUJO AI empowers network operators to enhance digital life protection for their customers both at home and on the go. By leveraging AI-powered cybersecurity, CUJO AI enables operators to improve customer value proposition, monetize networks, and reduce operating complexity and costs.

SambaNova Systems is an AI platform that revolutionizes AI workloads by offering an enterprise-grade full stack platform purpose-built for generative AI. It provides state-of-the-art AI and deep learning capabilities to help customers outcompete their peers. SambaNova delivers the only enterprise-grade full stack platform, from chips to models, designed for generative AI in the enterprise. The platform includes the SN40L Full Stack Platform with 1T+ parameter models, Composition of Experts, and Samba Apps. SambaNova also offers resources to accelerate AI journeys and solutions for various industries like financial services, healthcare, manufacturing, and more.

iQ Suite is an advanced AI application developed by Blue Hex Software, offering a comprehensive suite of AI solutions to empower businesses with cutting-edge generative AI capabilities. The application revolutionizes workflows, amplifies productivity, and enhances customer experience by delivering insights beyond imagination, supreme data analytics, and transforming data into knowledge with AI-driven document analysis. iQ Suite ensures data security at the core, with advanced encryption and protection protocols, seamless integration with existing systems, and real-time monitoring capabilities. The application also offers customizable security settings and personalized solutions tailored to meet specific business needs.

Clarion Technologies is an AI-assisted development company that offers a wide range of software development services, including custom software development, web app development, mobile app development, cloud solutions, and Power BI solutions. They provide services for various technologies such as React Native, Java, Python, PHP, Laravel, and more. With a focus on AI-driven planning and Agile Project Execution Methodology, Clarion Technologies ensures top-quality results with faster time to market. They have a strong commitment to data security, compliance, and privacy, and offer on-demand access to skilled developers and tech architects.

Fluid AI is an Enterprise Generative AI Solution Platform that offers advanced capabilities for Enterprise use-cases. It leverages organizational knowledge to function as an intelligent agent, supporting teams with easy access to precise answers, insights, reports, and creativity. The platform automates conversations across channels, enhances speed, accuracy, and scalability, and maintains personalized interactions. Fluid AI can integrate seamlessly with legacy systems, ensuring efficient AI adoption with Enterprise-level security.

Netomi is an AI-powered conversational AI platform that revolutionizes customer experience by providing proactive and automated customer care across various channels. It offers industry-leading enterprise-ready AI solutions, including sanctioned generative AI, goal-driven AI, and federated knowledge access. Netomi enables businesses to quickly respond to customer needs, increase resolution rates, and reduce support costs. The platform integrates seamlessly with existing systems, providing real-time omnichannel intelligence and security-first architecture for data privacy and security.

TAZI is an AI platform that provides explanations to business users on data, models, and results, allowing them to take actions or update data/models based on insights. It offers adaptive business solutions for growth, with features like GenAI AutoML, continuous self-learning, MLOps, security integrations, and solutions tailored for various industries and use cases. TAZI is known for its explainable and adaptive nature, delivering rapid value and scaling efficiently for enterprise-wide collaboration. The platform empowers businesses with AI technology to boost loyalty, predict churn, increase demand and revenue, and stay ahead of fraud.

VOLV is an AI application that enhances the shopping experience by providing personalized product suggestions based on individual's facial/body features. It offers recommendations for eyewear, jewelry, makeup, personal grooming, and apparel, transforming the online shopping experience across various industries. Additionally, VOLV introduces Spatial Technology, allowing customers to engage with products in hyper-realistic 3D interactive lines and try products virtually before buying. The application prioritizes privacy and security, ensuring encrypted end-to-end experiences.

Omnifact is a privacy-first generative AI platform designed for businesses. It offers secure, enterprise-grade AI solutions to boost productivity, streamline knowledge management, and drive innovation while prioritizing data security and privacy. The platform allows users to access generative AI while maintaining control over their data, making it a valuable tool for workplace environments.

ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) is a research center focusing on Data Science, Artificial Intelligence, and Big Data with locations in Dresden and Leipzig. It is one of the five new AI centers in Germany funded under the federal government's AI strategy by the Federal Ministry of Education and Research and the Free State of Saxony. The center collaborates closely with TUD Dresden University of Technology and Leipzig University, aiming to bridge the gap between mass data utilization, knowledge management, and advanced AI methods.

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.

CloudMinds is a world-leading creator, producer, and operator of cloud robot systems and services. Founded in 2015, CloudMinds has created a unique Cloud Robot Architecture based on the vision of “Cloud AI Connecting To The Future”, and launched the HARIX Cloud AI Robot Operating System and end-to-end commercial services in 2017. With the mission of “Operating Smart Robots for People”, the company aims to lead the cutting-edge technologies development for building a humanoid robot for enterprise and families. Our cloud robots will help people to do dull, dirty, dangerous or demeaning (4D) work, and thus making people’s lives more enjoyable.

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.

Allwire Technologies, LLC is a boutique IT consultancy firm that specializes in building intelligent IT infrastructure solutions. They offer services such as hybrid infrastructure management, security expertise, IT helpdesk support, operational insurance, and AI-driven solutions. The company focuses on empowering clients by providing tailored IT solutions without vendor lock-in. Allwire Technologies is known for fixing complex IT problems and modernizing existing tech stacks through a combination of cloud and data center solutions.

Operant is a cloud-native runtime protection platform that offers instant visibility and control from infrastructure to APIs. It provides AI security shield for applications, API threat protection, Kubernetes security, automatic microsegmentation, and DevSecOps solutions. Operant helps defend APIs, protect Kubernetes, and shield AI applications by detecting and blocking various attacks in real-time. It simplifies security for cloud-native environments with zero instrumentation, application code changes, or integrations.

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.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

Higress is an open-source cloud-native API gateway built on the core of Istio and Envoy, based on Alibaba's internal practice of Envoy Gateway. It is designed for AI-native API gateway, serving AI businesses such as Tongyi Qianwen APP, Bailian Big Model API, and Machine Learning PAI platform. Higress provides capabilities to interface with LLM model vendors, AI observability, multi-model load balancing/fallback, AI token flow control, and AI caching. It offers features for AI gateway, Kubernetes Ingress gateway, microservices gateway, and security protection gateway, with advantages in production-level scalability, stream processing, extensibility, and ease of use.

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.

The serverless-pdf-chat repository contains a sample application that allows users to ask natural language questions of any PDF document they upload. It leverages serverless services like Amazon Bedrock, AWS Lambda, and Amazon DynamoDB to provide text generation and analysis capabilities. The application architecture involves uploading a PDF document to an S3 bucket, extracting metadata, converting text to vectors, and using a LangChain to search for information related to user prompts. The application is not intended for production use and serves as a demonstration and educational tool.

This repository showcases how to deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK. Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. The repository provides a detailed guide on deploying image and text generative AI models, utilizing pre-trained models from SageMaker JumpStart. The web application is built on Streamlit and hosted on Amazon ECS with Fargate. It interacts with the SageMaker model endpoints through Lambda functions and Amazon API Gateway. The repository also includes instructions on setting up the AWS CDK application, deploying the stacks, using the models, and viewing the deployed resources on the AWS Management Console.

The AWS Healthcare and Life Sciences AI/ML Immersion Day workshops provide hands-on experience for customers to learn about AI/ML services, gain a deep understanding of AWS AI/ML services, and understand best practices for using AI/ML in the context of HCLS applications. The workshops cater to individuals at all levels, from machine learning experts to developers and managers, and cover topics such as training, testing, MLOps, deployment practices, and software development life cycle in the context of AI/ML. The repository contains notebooks that can be used in AWS Instructure-Led Labs or self-paced labs, offering a comprehensive learning experience for integrating AI/ML into applications.

The 'END TO END GENERATIVE AI PROJECTS' repository is a collection of awesome industry projects utilizing Large Language Models (LLM) for various tasks such as chat applications with PDFs, image to speech generation, video transcribing and summarizing, resume tracking, text to SQL conversion, invoice extraction, medical chatbot, financial stock analysis, and more. The projects showcase the deployment of LLM models like Google Gemini Pro, HuggingFace Models, OpenAI GPT, and technologies such as Langchain, Streamlit, LLaMA2, LLaMAindex, and more. The repository aims to provide end-to-end solutions for different AI applications.

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

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

This repository provides guidance on building a multi-tenant SaaS solution for accessing foundation models using Amazon Bedrock and Amazon SageMaker. It helps enterprise IT teams track usage and costs of foundation models, regulate access, and provide visibility to cost centers. The solution includes an API Gateway design pattern for standardization and governance, enabling loose coupling between model consumers and endpoint services. The CDK Stack deploys resources for private networking, API Gateway, Lambda functions, DynamoDB table, EventBridge, S3 buckets, and Cloudwatch logs.

The edge2ai-workshop repository provides a hands-on workshop for building an IoT Predictive Maintenance workflow. It includes lab exercises for setting up components like NiFi, Streams Processing, Data Visualization, and more on a single host. The repository also covers use cases such as credit card fraud detection. Users can follow detailed instructions, prerequisites, and connectivity guidelines to connect to their cluster and explore various services. Additionally, troubleshooting tips are provided for common issues like MiNiFi not sending messages or CEM not picking up new NARs.

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.

superduper.io is a Python framework that integrates AI models, APIs, and vector search engines directly with existing databases. It allows hosting of models, streaming inference, and scalable model training/fine-tuning. Key features include integration of AI with data infrastructure, inference via change-data-capture, scalable model training, model chaining, simple Python interface, Python-first approach, working with difficult data types, feature storing, and vector search capabilities. The tool enables users to turn their existing databases into centralized repositories for managing AI model inputs and outputs, as well as conducting vector searches without the need for specialized databases.

This NVIDIA AI Workbench project is designed for developing a Retrieval Augmented Generation application with a customizable Gradio Chat app. It allows users to embed documents into a locally running vector database and run inference locally on a Hugging Face TGI server, in the cloud using NVIDIA inference endpoints, or using microservices via NVIDIA Inference Microservices (NIMs). The project supports various models with different quantization options and provides tutorials for using different inference modes. Users can troubleshoot issues, customize the Gradio app, and access advanced tutorials for specific tasks.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

AI-Security-and-Privacy-Events is a curated list of academic events focusing on AI security and privacy. It includes seminars, conferences, workshops, tutorials, special sessions, and covers various topics such as NLP & LLM Security, Privacy and Security in ML, Machine Learning Security, AI System with Confidential Computing, Adversarial Machine Learning, and more.

AI-in-a-Box is a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction, while maintaining the highest standards of quality and efficiency. It provides essential guidance on the responsible use of AI and LLM technologies, specific security guidance for Generative AI (GenAI) applications, and best practices for scaling OpenAI applications within Azure. The available accelerators include: Azure ML Operationalization in-a-box, Edge AI in-a-box, Doc Intelligence in-a-box, Image and Video Analysis in-a-box, Cognitive Services Landing Zone in-a-box, Semantic Kernel Bot in-a-box, NLP to SQL in-a-box, Assistants API in-a-box, and Assistants API Bot in-a-box.

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

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Advanced IoE-focused GPT, excelling in domain knowledge, security awareness, and problem-solving, powered by OpenAI

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Security-focused GPT offering advice on personal and online safety.

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Expert on Australian cybersecurity frameworks and legislation.

Spring Security expert using a 2023 knowledge base

Guidance on offensive security and pentesting.

Ensures software security through comprehensive testing techniques.

Security checks for NFT contracts and items

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网络安全和渗透测试的专家解答

Quality Cyber Security Advice, Tricks, & Tips