4/7/2026 · 1 min read
aidata-governancedata-qualityinformaticamulesoftai-agents
This article addresses the critical challenge of enabling AI agents to make reliable decisions by ensuring they act only on high-quality, relevant, and secure data. It highlights the need for a governed, orchestrated approach to data management to prevent AI from using stale records or violating PII restrictions.
Sources & Further Reading
Informatica is deepening its integration with Microsoft, introducing Open Mirroring support for Microsoft Fabric and expanding geographic availability for Azure Points-of-Delivery. These innovations aim to strengthen data foundations for customers leveraging analytics and AI across Microsoft's platforms.
IT leaders are increasingly challenged with managing and scaling numerous AI agents across diverse ecosystems, leading to 'agent sprawl'. This article introduces MuleSoft Agent Scanners as a solution to streamline AI agent governance and eliminate this complexity.
This article explores how MuleSoft AI can revolutionize the banking experience, shifting from generic services to deeply personalized financial advice. It highlights how AI-driven insights can proactively address individual customer needs, transforming traditional banking into a personal financial partnership.