Unstructured Data Is Piling up as AI Risks Rise

Why It Matters

Limited visibility into unstructured data amplifies AI‑driven security risks and hampers the reliability of automated decision‑making, threatening both compliance and ROI.

Key Takeaways

• 52% of firms have only partial visibility into unstructured data.
• 68% admit majority of their data remains unprotected.
• 9% can scan data in real time; 25% cannot scan at all.
• Nearly one‑third use over 11 tools, creating siloed governance.
• 45% view AI as top future security risk for unstructured data.

Pulse Analysis

Enterprises are grappling with an unprecedented surge in unstructured data, which Gartner estimates now makes up 70‑90% of total information assets. The Thales study shows that more than half of organizations can only partially map this data, and a striking 68% acknowledge that most of it lacks proper protection. This visibility gap is compounded by fragmented toolchains—about one‑third of firms employ more than 11 disparate solutions—leading to siloed governance and manual classification processes that cannot keep pace with growth.

Artificial intelligence is positioned as both a remedy and a new source of vulnerability. On the upside, AI‑driven discovery and classification promise to automate the labor‑intensive tasks that currently bottleneck security teams. However, the report warns that without robust oversight, AI models trained on incomplete or biased datasets can exacerbate blind spots, especially when only 9% of companies can scan data in real time. The dual perception—45% of executives flag AI as a top future risk while 40% see it as a key mitigation tool—highlights the need for balanced adoption strategies that integrate governance, explainability, and continuous monitoring.

The market implication is clear: vendors that deliver unified, AI‑enabled data governance platforms will gain a competitive edge, while organizations that invest in visibility, classification, and real‑time scanning capabilities will be better positioned to harness AI safely. As AI agents become more pervasive, upskilling data‑security talent and establishing clear data‑quality standards will be essential to avoid costly missteps and to unlock the full value of unstructured data in decision‑making.