Top 3 Challenges in Securing and Governing Data for the Era of AI

AI is accelerating data growth and raising the risk of leakage and oversharing. The Microsoft whitepaper, "Top 3 Challenges in Securing and Governing Data for the Era of AI," outlines how fragmented tools, evolving regulations, and expanding responsibilities complicate data protection, and why a unified platform approach is crucial to mitigating risk. For practical insight on reducing data risk while keeping AI innovation moving, download the whitepaper by completing the form.

View: Top 3 Challenges in Securing and Governing Data for the Era of AI

Top 3 Challenges of Securing and Governing Data in the Era of AI

What's really standing between your organization and secure AI innovation? The whitepaper, "Top 3 Challenges in Securing and Governing Data for the Era of AI," provides insight into common barriers and practical steps to overcome them. For an overview of secure AI adoption strategies you can deploy with a unified Microsoft Security platform, download your complimentary copy of the whitepaper by filling out the form.

View: Top 3 Challenges of Securing and Governing Data in the Era of AI

The next tech infrastructure advantage is intelligence orchestration

Enterprise infrastructure is evolving from supporting applications to coordinating increasingly distributed AI. Deloitte explores how an intelligent control plane could orchestrate models, agents, workloads, identity, governance, and security across cloud and edge environments. Connect with RIPEVA LLC to discuss how these trends may influence your organization's technology strategy.

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HSBC drives innovation in Power Platform security | Microsoft Customer Stories

How does a global bank move fast on new applications without putting sensitive financial data at risk? This customer story shows how HSBC uses Microsoft Power Platform, Dynamics 365, and Microsoft Dataverse security features, including virtual network support and customer-managed keys, to strengthen data protection and improve control and transparency. Read the story to learn from HSBC's experience enabling teams to innovate while meeting strict regulatory requirements.

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Companies rushed in on AI. Now some are pulling back

Rapid AI adoption can create new challenges when governance, training and expectations do not keep pace. This Guardian article examines why some organizations are reassessing AI deployments after encountering quality, cost, security and workforce concerns. Read it for perspective on why thoughtful implementation and measurable outcomes matter as AI programs mature. Connect with RIPEVA LLC to discuss how these trends may influence your organization's technology strategy.

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How AI, Multi‑Cloud, and FinOps Are Reshaping Cloud Infrastructure Strategy

Explore how AI, multi-cloud, edge computing, zero-trust security, sustainability, and FinOps are reshaping cloud infrastructure strategy, then contact RIPEVA LLC to discuss what this means for your roadmap.

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How to Build Agents with Microsoft: An 8-Step Framework

Building AI agents that deliver real outcomes takes a design-first approach. The whitepaper, "How to Build Agents with Microsoft: An 8-Step Framework," walks through eight practical steps for building, testing, and governing agents with Copilot Studio, Microsoft Foundry, and Microsoft Agent 365, grounded in a real claims support example. For a clear roadmap from a single scenario to a production-ready, governed agent, download the whitepaper by completing the form.

View: How to Build Agents with Microsoft: An 8-Step Framework