AI is shifting how users work with data. Teams need analytics that answer questions, explain results, and guide decisions inside the product. This is where AI-powered analytics improves the experience. It speeds up insight delivery and supports users who need clarity without extra steps. The real value comes when AI works within the product’s rules and keeps data in the customer environment. This removes risk and gives teams a safer way to add AI features. It also reduces backlog, improves adoption, and delivers clearer answers for every user who depends on the product.

Security with embedded analytics gets more complex when AI enters the picture. This article breaks down the key risks, offers best practices to prevent data leaks, and explains how Reveal gives SaaS teams full control over AI endpoints, data flow, and governance. If you’re embedding AI-powered analytics into your product, Reveal helps you do it securely by design.

Organizations that want to leverage the full potential of their data to make on-the-spot decisions, have to continually follow the latest trends and technologies in the BI and data analytics space in order to increase revenue, accelerate growth, and improve productivity. 

Powered by two of the greatest analytics technologies, augmented analytics allows users to ask questions and automatically generate insights by exploring their data using conversational language.