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As AI advances, we all have a role to play to unlock AI’s positive impact for organizations and communities around the world. That’s why we’re focused on helping customers use and build AI that is trustworthy, meaning AI that is secure, safe and private.
At Microsoft, we have commitments to ensure Trustworthy AI and are building industry-leading supporting technology. Our commitments and capabilities go hand in hand to make sure our customers and developers are protected at every layer.
Building on our commitments, today we are announcing new product capabilities to strengthen the security, safety and privacy of AI systems.
Security. Security is our top priority at Microsoft, and our expanded Secure Future Initiative (SFI) underscores the company-wide commitments and the responsibility we feel to make our customers more secure. This week we announced our first SFI Progress Report, highlighting updates spanning culture, governance, technology and operations. This delivers on our pledge to prioritize security above all else and is guided by three principles: secure by design, secure by default and secure operations. In addition to our first party offerings, Microsoft Defender and Purview, our AI services come with foundational security controls, such as built-in functions to help prevent prompt injections and copyright violations. Building on those, today we’re announcing two new capabilities:
Our security capabilities are already being used by customers. Cummins, a 105-year-old company known for its engine manufacturing and development of clean energy technologies, turned to Microsoft Purview to strengthen their data security and governance by automating the classification, tagging and labeling of data. EPAM Systems, a software engineering and business consulting company, deployed Microsoft 365 Copilot for 300 users because of the data protection they get from Microsoft. J.T. Sodano, Senior Director of IT, shared that “we were a lot more confident with Copilot for Microsoft 365, compared to other large language models (LLMs), because we know that the same information and data protection policies that we’ve configured in Microsoft Purview apply to Copilot.”
Safety. Inclusive of both security and privacy, Microsoft’s broader Responsible AI principles, established in 2018, continue to guide how we build 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 out the necessary governance structure, policies, tools and processes to uphold these principles and 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 capabilities and tools to build AI applications that share the same high standards we strive for.
Today, we are sharing new capabilities to help customers pursue the benefits of AI while mitigating the risks:
It’s amazing to see how customers across industries are already using Microsoft solutions to build more secure and trustworthy AI applications. For example, Unity, a platform for 3D games, used Microsoft Azure OpenAI Service to build Muse Chat, an AI assistant that makes game development easier. Muse Chat uses content-filtering models in Azure AI Content Safety to ensure responsible use of the software. Additionally, ASOS, a UK-based fashion retailer with nearly 900 brand partners, used the same built-in content filters in Azure AI Content Safety to support top-quality interactions through an AI app that helps customers find new looks.
We’re seeing the impact in the education space too. New York City Public Schools partnered with Microsoft to develop a chat system that is safe and appropriate for the education context, which they are now piloting in schools. The South Australia Department for Education similarly brought generative AI into the classroom with EdChat, relying on the same infrastructure to ensure safe use for students and teachers.
Privacy. Data is at the foundation of AI, and Microsoft’s priority is to help ensure customer data is protected and compliant through our long-standing privacy principles, which include user control, transparency and legal and regulatory protections. To build on this, today we’re announcing:
We’ve seen increasing customer interest in confidential computing and excitement for confidential GPUs, including from application security provider F5, which is using Azure Confidential VMs with NVIDIA H100 Tensor Core GPUs to build advanced AI-powered security solutions, while ensuring confidentiality of the data its models are analyzing. And multinational banking corporation Royal Bank of Canada (RBC) has integrated Azure confidential computing into their own platform to analyze encrypted data while 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.
We all need and expect AI we can trust. We’ve seen what’s possible when people are empowered to use AI in a trusted way, from enriching employee experiences and reshaping business processes to reinventing customer engagement and reimagining our everyday lives. With new capabilities that improve security, safety and privacy, we continue to enable customers to use and build trustworthy AI solutions that help every person and organization on the planet achieve more. Ultimately, Trustworthy AI encompasses all that we do at Microsoft and it’s essential to our mission as we work to expand opportunity, earn trust, protect fundamental rights and advance sustainability across everything we do.
Commitments
Capabilities
Tags: AI, Azure AI Content Safety, Azure AI Studio, Azure Confidential Computing, Azure OpenAI Service, Copilot, GitHub, Microsoft 365, Microsoft Defender, Microsoft Purview, Microsoft Trust Center, Responsible AI, Secure Future Initiative, Trustworthy AI