ai
32 TopicsSecure your multi-tenant applications with Microsoft Entra ID
As an ISV, delivering a secure and seamless experience for your customers is essential—but managing identity and access across multiple tenants can be complex. Microsoft Entra ID simplifies this challenge, offering powerful tools to enhance security, streamline authentication, and protect customer data. Learn more in this guide, we’ll explore key strategies for building secure multi-tenant applications and provide valuable resources to help you get started. Discover how Entra ID can help you build with confidence! Building secure multi-tenant applications with Microsoft Entra ID: A guide for ISVs16Views1like0CommentsPhi-4-multimodal and Phi-4-mini
Yesterday, Microsoft announced Phi-4-multimodal and Phi-4-mini, the newest models in Microsoft’s Phi family of small language models (SLMs) that empower developers with advanced AI capabilities. Phi-4-multimodal can process speech, vision, and text simultaneously and opens up new possibilities for innovation and context-aware applications, and Phi-4-mini excels in text-based tasks, providing high accuracy and scalability in a compact form. Learn more about this announcement and the exciting impact it can have for developing apps for the marketplace: Empowering innovation: The next generation of the Phi family | Microsoft Azure Blog79Views1like0CommentsReinventing the online shopping experience with GenAI: Preezie’s AI transformation
Preezie recently had the opportunity to be featured in an episode of Microsoft SaaS Stories with Jason Young to share our journey of transforming our business by developing a cutting-edge GenAI Shopping Assistant for eCommerce and retail. We provide insights into how we identified an opportunity to pivot, tackled the challenges of moving from concept to product, and built a commercially viable solution in an entirely new market. Here are some key takeaways from our discussion: Pivoting with Purpose: How we evolved from interactive eCommerce quizzes to a fully AI-driven shopping assistant. From Idea to Execution: The process of building an AI solution from the ground up, including overcoming technical challenges with Microsoft’s support. Reimagining Retail with AI: How our assistant bridges the gap between in-store and online shopping, driving higher conversions and a better customer experience. Business Model Evolution: Why we’re shifting from a traditional SaaS model to a usage-based approach. Scalability & Affordability Challenges: What we’re learning as we refine our AI solution for long-term growth. If you're interested in the future of AI in retail and how innovation can redefine customer experiences, this discussion provides insights and best practices to aid in the journey. Watch now to learn more about Preezie’s journey and the impact of GenAI on the shopping experience. Microsoft SaaS Stories | Learn from Software Experts | Episode 13 Preezie44Views2likes1CommentBuild and extend your own agents using pro-code capabilities
On-demand session Microsoft Copilot Studio and building custom agents. Agents are AI-powered productivity tools designed to enhance everyday tasks by leveraging large language models (LLMs). Are you a developer interested in exploring advanced aspects of using Microsoft 365 Copilot, Microsoft Copilot Studio, and building custom agents using professional coding techniques? Join our on-demand workshop to learn how to leverage pro-code capabilities and build intelligent agents that assist users across various domains. On-Demand Workshop Agenda Day 1: Extend Microsoft 365 Copilot with declarative agents Build custom engine agents with Teams AI library and Microsoft 365 Agents SDK Day 2: Develop your own agents in Azure AI Foundry Day 3: Build your own agents with Semantic Kernel for a fully controlled end-to-end AI experience Secure and govern copilots Don't miss this opportunity to enhance your skills and build powerful agents with pro-code capabilities. Register now and take the next step in your development journey! For more training opportunities, visit us at the Partner Skilling Hub.102Views1like0CommentsAzure AI Foundry Labs = new possibilities for ISVs
Last week, Microsoft announced Azure AI Foundry Labs, which unites cutting-edge research with real-world applications to enable developers and creators across industries to discover new possibilities, solve complex problems, and share insights to shape the future of AI. Microsoft also announced its newest AI breakthrough—Muse, a first-of-its-kind World and Human Action Model (WHAM), available today in Azure AI Foundry. Azure AI Foundry Labs gives developers, startups, and enterprises the opportunity to explore groundbreaking innovations from research at Microsoft, including: Aurora: A large-scale atmospheric model providing high-resolution weather forecasts and air pollution predictions, outperforming traditional tools. ExACT: An open-source project enabling agents to learn from past interactions and improve search efficiency dynamically. Magentic-One: A multi-agent system solving complex problems by orchestrating multiple agents, built on the AutoGen framework. MatterSim: A deep learning model for atomistic simulations, predicting material properties with high precision. OmniParser v2: A vision-based module converting UI screenshots into structured elements, enhancing agents’ action generation. TamGen: A generative AI model for drug design, using a GPT-like chemical language model for target-aware molecule generation and refinement. The opportunity for ISVs: Azure AI Foundry Labs provides a single access point for developers and the broader AI community to experiment with new models, explore the latest frameworks, and be at the forefront of innovation. Developers can create prototypes using experimental research in Azure AI Foundry Labs, collaborate with researchers and engineering teams by sharing feedback, and help speed up the time to market for technologies that ISVs may be leveraging in their development for the marketplace. Learn more: Introducing Azure AI Foundry Labs: A hub for the latest AI research and experiments at Microsoft | Microsoft Azure Blog Visit Azure AI Foundry Labs.37Views1like0CommentsSecurity for ISV Series: Join Our Session on Securing Multi-Tenant Solutions!
Hi Security enthusiasts, In the upcoming session of the Security for ISV series, we have an exciting topic on securing multi-tenant solutions. This session will dive deep into identity and access management specifically for ISVs. We’ll discuss key considerations, the unique challenges faced by ISVs, and how to design and configure identity to address these challenges effectively. Join us for insights from industry experts and get your questions answered in our interactive Q&A session. Here are some questions to ponder as you prepare for the session: What are the best practices for managing authentication and authorization in multi-tenant environments? How can you ensure secure and seamless identity management across multiple tenants? What strategies can be implemented to prevent data leakage between tenants? Don’t miss out on this opportunity to boost your security knowledge. When: Tuesday, 25th of February, 2pm Sydney, Australia time (AEDT). Register now at https://aka.ms/asiaisvsecurity. Looking forward to your participation!48Views1like0CommentsLeveraging Microsoft Security to secure DeepSeek and other AI systems
As an ISV building apps for the Microsoft commercial marketplace, securing your AI applications is crucial. Microsoft Security offers comprehensive solutions to protect your AI workloads, including the DeepSeek R1 model. With tools like Microsoft Defender for Cloud and Azure AI Foundry, you can manage your security posture, ensure data security, and comply with governance standards. These solutions help you identify and mitigate cyberattack surfaces and vulnerabilities, ensuring your AI applications are secure and trustworthy. By leveraging Microsoft's security capabilities, you can confidently develop and deploy AI solutions that meet the highest security standards. Learn more about how to leverage Microsoft Security while app building: Securing DeepSeek and other AI systems with Microsoft Security | Microsoft Security Blog59Views1like0CommentsDeepSeek R1 - now available on Azure AI Foundry and GitHub!
Microsoft just announced that DeepSeek R1, a groundbreaking AI model, is now available on Azure AI Foundry and GitHub. This addition joins a diverse portfolio of over 1,800 models, including frontier, open-source, industry-specific, and task-based AI models Key Highlights: Accessibility: DeepSeek R1 is accessible on a trusted, scalable, and enterprise-ready platform, enabling businesses to seamlessly integrate advanced AI while meeting SLAs, security, and responsible AI commitments—all backed by Microsoft’s reliability and innovation1. AI Reasoning: DeepSeek R1 offers a powerful, cost-efficient model that allows more users to harness state-of-the-art AI capabilities with minimal infrastructure investment. Developers can experiment, iterate, and integrate AI into their workflows quickly. Safety and Security: DeepSeek R1 has undergone rigorous red teaming and safety evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks. Azure AI Content Safety provides built-in content filtering by default. Usage: To use DeepSeek R1, search for it in the model catalog on Azure AI Foundry, open the model card, and click on deploy to obtain the inference API and key. This rapid accessibility and robust safety measures make DeepSeek R1 a valuable addition to the Azure AI Foundry, accelerating innovation and unlocking new possibilities for enterprises worldwide. Learn more: DeepSeek R1 is now available on Azure AI Foundry and GitHub | Microsoft Azure Blog .Solved3.2KViews4likes3CommentsTake a comprehensive look at Azure AI Content Understanding
Azure AI Content Understanding is a robust AI solution built to process and analyze a wide range of content types, including documents, audio, images, videos, and text files. Take a look at the Azure AI Content Understanding blog to learn more about this powerful tool20Views1like0CommentsEmbedding security in ISV applications
Discover how embedding security into product design is not just a necessity but a game-changer in today's digital landscape. Learn how Independent Software Vendors (ISVs) are leading the charge in creating secure and scalable solutions that businesses around the world rely on. Read more to understand the critical role of security in product development and stay ahead in the ever-evolving world of cyber threats. Design secure and resilient ISV applications Join ISV Security sessions to stay updated on the latest best practices22Views1like0Comments