The Hidden Cost of Using Open GPTs

Giving Away Your Data for Cool Points

In today’s data-driven economy, everyone is trying to do more — and do it faster — with their data. Value is being unlocked, possibilities are expanding, and the temptation to upload internal business data into large AI models for fast, “cool” insights is everywhere.

Who wouldn’t want a quick summary of a dense, pages-long report? A contextual explanation of a predictive trend line? Or even a PowerPoint presentation drafted automatically from your internal documents?

But when you’re using sensitive business data, that convenience could come at a very high cost.

When you send data to these models (whether it’s a document to summarize, numbers to analyze, or content to generate presentations) you’re not just asking a question. You’re potentially giving up ownership of that information and handing over your competitive edge.

Unless you’re using a specific, enterprise-grade subscription with tightly defined privacy settings, you’ve likely agreed for that data to be used to improve future AI models. Even with paid plans, the fine print in privacy policies can be surprising. The context around your data (including your company’s metadata, user behavior, and operational footprint) is extremely valuable.

That’s the trade these model providers rely on: you get insights, and they get your data. Think about it — how are you getting “enterprise-grade AI insights” for free or for $20/month?

The Real Risks

Data Leakage

Public models often have unclear or evolving data retention policies. Uploading forecasts, customer lists, or product roadmaps can result in that data being used to train future versions of the model — or even regurgitated in outputs to other users. Even with “safe” APIs, providers often log and review prompts for improvement. Your marketing strategy today could become someone else’s AI-generated sample tomorrow. Your financial data might inform someone else’s funding analysis next week.

Compliance and Legal Exposure

If you’re in a regulated industry (finance, healthcare, manufacturing) the stakes are even higher. Business data often contains PII, trade secrets, or sensitive operational information. Uploading it to a public model isn’t just risky — it could violate privacy laws, data governance standards, or contractual obligations.

Once that data enters someone else’s system, ownership gets blurry. You can’t put the toothpaste back in the tube — you may have agreed that the data no longer belong to you, your clients, or your users.

NovaCore and NovaIntel: Secure Analytics, Your Way

At AINovva, we’ve seen how tempting it is for growing companies to use open models to level the playing field. But the trade-offs are rarely understood until it’s too late. That’s why we built NovaCore and NovaIntel — two analytics solutions designed to deliver insight without compromise.

NovaCore is perfect for companies just beginning their data journey. It provides essential metrics and insights in a secure, streamlined platform — no risk of exposure, no hidden trade-offs.

NovaIntel is built for organizations that need deeper analytics, greater control, and tighter governance. With predictive modeling, custom dashboards, and advanced security, NovaIntel is ideal for industries like law, government, accounting, and healthcare — where data control isn’t optional.

Both platforms are grounded in one principle: value doesn't have to come at the expense of security.

A Better Path Forward

At AINovva, we help companies grow smarter — combining innovation with security. With NovaCore and NovaIntel, your data stays fully under your control. You get the power of AI-driven insights, without risking your compliance posture or business integrity.

Instead of trading away your crown jewels for a moment of convenience, let’s build a secure, strategic foundation for long-term insight and growth.