Minimize Before You Scale

Before AI agents like Microsoft Copilot, Gemini Enterprise, and Amazon Q, redundant, obsolete, and trivial (ROT) data sat across the enterprise's data estate, stale, unchecked, and ignored. Now that agents can reach wherever employees search, data is more readily accessible and reachable than ever. Regulators act on data that is kept too long, beyond its retention period or the purpose for which it was initially collected. Take, for instance, a European data protection authority that, in 2026, fined two companies after a data breach exposed millions of customer contracts and found that one of them had kept records without justification.

However, it is not the AI agent that's the problem; it's the data it can access. For instance, a simple onboarding prompt can surface employees' confidential data, such as SSNs. The more pressing concern is that none of it surfaces until a breach happens, an audit is requested, or the storage bills arrive.

Here, ROT data minimization comes into the picture. Download the infographic to learn how Securiti, a Veeam company, is helping enterprises get their data agent-ready before they scale.