Microsoft's Trusted AI: unlocking human potential starts with confidence

As AI advances, we all have a role to play in unlocking the positive impact of AI for organizations and communities around the world. That's why we are focused on helping customers use and create AI reliable, or rather, an AI Sure, the translation of "segura" from Portuguese to English is "secure." Here's the context preserved: - segura (adjective) = secure (adjective) If you have any more text or specific context you'd like translated, feel free to share!, "Protegida" In English, "protegida" translates to "protected" or "female protégé." The term can be used in various contexts, such as legal, personal, or metaphorical. Here are a few examples to illustrate its usage: 1. Legal context: "The witness is protected by the state." 2. Personal context: "She felt protected by her family." 3. Metaphorical context: "The artist was a protégé of the famous painter." The translation should maintain the original tone and context, ensuring that the meaning remains accurate and natural. and "privada" In English, "privada" translates to "private" or "private road." The context in which the term is used can influence its precise translation. For example, in real estate, "área privada" would mean "private area." If it refers to a driveway, it would be "private driveway." The translation should always consider the specific context in which the term is used..  

At Microsoft, we are committed to ensuring reliable AI and are creating cutting-edge support technology. Our commitments and resources go hand in hand to ensure that our customers and developers are protected at every level.

Based on our commitments, we are announcing today new "Resources" If you need further assistance with translating or understanding specific contexts, feel free to provide more details! From products to strengthen the security, protection, and privacy of AI systems.

Security. Security is our top priority at Microsoft, and our Safe Future Initiative --- This translation maintains the original tone and context, ensuring that the name of the initiative is accurately and naturally translated into English. (SFI, in English) expanded underscores the company-wide commitments and the responsibility we feel to make our customers more The translation of "seguros" from Portuguese to English is "insurance." If you have any more text or specific context you'd like translated, feel free to share!This week, we announced our first SFI Progress Report, highlighting updates that encompass culture, governance, technology, and operations. This fulfills our commitment to prioritize safety above all else and is guided by three principles: secure by design, secure by default, and secure by operations. In addition to our primary offerings, Microsoft Defender and Purview, our AI services have basic security controls, such as internal functions to help avoid immediate injections and copyright infringements. Based on these, we are today announcing two new features: In addition to our primary offerings, Microsoft Defender and Purview, our AI services have basic security controls, such as internal functions to help prevent immediate injections and copyright violations. Based on these, we are announcing two new features today:

• Reviews in the Azure AI Studio --- Azure AI Studio is a comprehensive platform designed to facilitate the development of artificial intelligence applications. It offers a wide range of tools and services that enable developers to build, deploy, and manage AI solutions efficiently. With Azure AI Studio, users can leverage pre-built models, customize AI algorithms, and integrate AI capabilities into their applications seamlessly. The platform supports various machine learning frameworks and provides a collaborative environment for teams to work together on AI projects. Azure AI Studio is part of the broader Azure ecosystem, offering seamless integration with other Azure services and tools, enhancing the overall development and deployment experience. To support proactive risk analysis.
• Microsoft 365 Copilot will provide Transparency in Web Queries To help administrators and users better understand how web search enhances Copilot's response. Available soon.

Our security features are already being used by customers. A Cummins, a 105-year-old company known for its engine manufacturing and development of clean energy technologies, turned to Microsoft Purview To strengthen your data security and governance by automating data classification, tagging, and labeling. A EPAM Systems --- Note: The text provided is already in English. If you intended to translate a different text, please provide the original Portuguese text., a software engineering and business consulting firm, has implemented  Microsoft 365 Copilot for 300 users because of the data protection they receive from Microsoft. J.T. Sodano, Senior IT Director, shared that "we were much more confident with Copilot for Microsoft 365, compared to other LLMs (large language models), because we know that the same data and information protection policies that we set up in the Microsoft Purview "They apply to Copilot."

Security. Including security and privacy, the broader principles of Responsible AI at Microsoft, established in 2018, continue to guide how we create and deploy AI safely across the company. In practice, this means properly building, testing, and monitoring systems to avoid undesirable behaviors, such as harmful content, bias, misuse, and other unintended risks. Over the years, we have made significant investments in building the governance structure, policies, tools, and processes necessary to uphold these principles and to build and deploy AI safely. At Microsoft, we are committed to sharing our learnings on this journey of upholding our Responsible AI principles with our customers. We use our own best practices and learnings to provide people and organizations with the resources and tools to create AI applications that share the same high standards we strive for.

Today, we are sharing new resources to help customers pursue the benefits of AI while mitigating the risks:

• A feature "Correction" In the grounding detection functionality of Microsoft Azure AI Content Safety, which helps to correct hallucination issues in real-time before users see them.   
• Embedded Content Security, which allows customers to embed Azure AI Content Safety on devices. This is important for on-device scenarios where cloud connectivity may be intermittent or unavailable.   
• New assessments In Azure AI Studio to help customers evaluate the quality and relevance of outputs and the frequency with which your AI application generates protected material.  
• Translation: Detection of protected material for programming --- This translation maintains the original tone, technical context, and precise terminology. The phrase "Detecção de material protegido para programação" translates directly to "Detection of protected material for programming," ensuring that the technical and specialized nature of the original text is preserved. It is now in preview on Azure AI Content Safety to help detect pre-existing content and code. This feature helps developers explore public source code in GitHub repositories, promoting collaboration and transparency, while also enabling more informed coding decisions.

It's amazing to see how customers from all sectors are already using Microsoft's solutions to create safer and more reliable AI applications. For example,  A Unity, a platform for 3D games, used Microsoft Azure OpenAI Service to create Muse Chat, an AI assistant that facilitates game development. Muse Chat uses content filtering models in the Azure AI Content Safety --- Azure AI Content Safety is a comprehensive solution designed to help organizations protect their users from harmful content on the internet. This service leverages advanced artificial intelligence and machine learning technologies to detect and mitigate inappropriate content, ensuring a safer online environment. Azure AI Content Safety uses a multi-layered approach to content moderation, including: 1. **Text Analysis**: Utilizing natural language processing (NLP) to analyze and understand the context of the text, identifying potential harmful or offensive content. 2. **Image Analysis**: Employing computer vision techniques to detect inappropriate images, including those that are sexually explicit, violent, or gory. 3. **Video Analysis**: Using advanced algorithms to detect and flag inappropriate content in videos, such as violence, hate speech, and other harmful material. 4. **User Feedback**: Incorporating user feedback to continuously improve the accuracy and effectiveness of the content moderation system. By integrating Azure AI Content Safety into their platforms, organizations can proactively address potential risks and maintain a safer, more respectful online community. --- Azure AI Content Safety is a complete solution designed to help organizations protect their users from harmful content on the internet. This service leverages advanced artificial intelligence and machine learning technologies to detect and mitigate inappropriate content, ensuring a safer online environment. Azure AI Content Safety uses a multi-layered approach to content moderation, including: 1. **Text Analysis**: Utilizing natural language processing (NLP) to analyze and understand the context of the text, identifying potential harmful or offensive content. 2. **Image Analysis**: Employing computer vision techniques to detect inappropriate images, including those that are sexually explicit, violent, or gory. 3. **Video Analysis**: Using advanced algorithms to detect and flag inappropriate content in videos, such as violence, hate speech, and other harmful material. 4. **User Feedback**: Incorporating user feedback to continuously improve the accuracy and effectiveness of the content moderation system. By integrating Azure AI Content Safety into their platforms, organizations can proactively address potential risks and maintain a safer, more respectful online community. To ensure the responsible use of the software. Furthermore, the ASOS A UK-based fashion retailer with nearly 900 brand partners used the same internal content filters in Azure AI Content Safety to support high-quality interactions through an AI application that helps customers find new looks.

We are also seeing the impact in the educational space. New York City Public Schools They have partnered with Microsoft to develop a secure and contextually appropriate chat system for educational settings, which they are now testing in schools. The Department of Education of South Australia I also brought generative AI into the classroom with EdChat, relying on the same infrastructure to ensure safe use for students and teachers.

Privacy. The data is at the core of AI, and Microsoft's priority is to help ensure that customer data is protected and compliant through our "Privacy principles" Long-standing, which include user control, transparency, and legal and regulatory protections. To develop this, today we are announcing:

• Confidential inference "in preview version" In our Azure OpenAI Service Whisper model, so that customers can develop generative AI applications that support verifiable end-to-end privacy. Confidential inference Ensures that sensitive customer data remains secure and private during the inference process, which is when a trained AI model makes predictions or decisions based on new data. This is especially important for highly regulated industries such as healthcare, financial services, retail, manufacturing, and energy.   
• General availability of Azure Confidential VMs with GPUs NVIDIA H100 Tensor Core --- Here is the translation of the provided text from Portuguese to English. The translation maintains the original formatting, tone, and context, ensuring the technical terminology is accurately conveyed., which allow customers to protect data directly on the GPU. This is based on our confidential computing solutions, which ensure that customer data remains encrypted and protected in a secure environment so that no one has access to the information or the system without permission.
• Azure OpenAI Data Zones Azure OpenAI Data Zones provide a secure and efficient way to manage and govern data within the Azure environment. These zones allow organizations to define specific areas where data can be stored and accessed, ensuring that sensitive information is protected and that data is used in compliance with relevant regulations and policies. By using Azure OpenAI Data Zones, organizations can: - Implement data governance policies: Establish rules and guidelines for data management, ensuring that data is used responsibly and ethically. - Enhance data security: Protect sensitive data from unauthorized access and potential breaches. - Improve compliance: Ensure that data usage complies with industry standards and regulatory requirements. - Facilitate data sharing: Enable secure and controlled data sharing between different departments and stakeholders. Azure OpenAI Data Zones offer a robust solution for organizations that need to manage and protect their data effectively, ensuring that it is used in a way that aligns with their business objectives and regulatory requirements. For the European Union and the United States, new developments are on the horizon and are based on the existing data residency provided by the Azure OpenAI Service, facilitating the management of data processing and storage for generative AI applications. This new functionality offers customers the flexibility to scale generative AI applications across all Azure regions within a geography, while also giving them the control over data processing and storage within the EU or the US.

We saw growing customer interest in confidential computing and enthusiasm for confidential GPUs, including from the application security provider. F5 --- Note: The text "F5" appears to be a standalone term or a reference that does not require translation. It is likely a key on a keyboard, a model number, or a reference to something specific within a particular context. If you provide more context or additional text, I can offer a more detailed translation., which is using Azure confidential VMs with NVIDIA H100 Tensor Core GPUs to create advanced AI-powered security solutions while ensuring the confidentiality of the data that their models are analyzing. And the multinational banking corporation Royal Bank of Canada (RBC --- Note: "RBC" is an acronym that stands for "Royal Bank of Canada." It is the largest bank in Canada by market capitalization and one of the largest financial institutions in the world. If you need more context or a detailed translation of a specific document related to RBC, please provide additional information.) integrated Azure Confidential Computing into its own platform to analyze encrypted data, preserving customer privacy. With the general availability of Azure Confidential VMs with NVIDIA H100 Tensor Core GPUs, RBC can now use these advanced AI tools to work more efficiently and develop more powerful AI models. 

Reach more with reliable AI

We all need and hope for an AI that we can trust. We have seen what is possible when people are empowered to use AI in a reliable way, since Enhance employee experiences and Remodel the business processes "Até" in Portuguese translates to several different things in English, depending on the context. Please provide the sentence it's used in. Reinvent customer engagement and Reimagine our lives Routines.com --- Here is the translation of the provided text from Portuguese to English, maintaining the original formatting, tone, and context. If you have any further content or specific requirements, please let me know! New features By improving security, safety, and privacy, we continue to enable customers to use and build trusted AI solutions that help all people and organizations on the planet achieve more. Ultimately, trusted AI encompasses everything we do at Microsoft and is essential to our mission as we work to expand opportunities, earn trust, protect fundamental rights, and promote sustainability in everything we do.