Analysis · curated 7 Sep 2026
Securing the Agentic Lakehouse Gateway: Preventing Prompt Injection and Data Exfiltration
First reported datalakehousehub.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Agents with SQL/MCP query access to a lakehouse treat every row of user-generated content as a potential instruction and every result as an exfiltration path, making the gateway a critical control point defenders must harden.
An explainer on securing the gateway layer between AI agents and a data lakehouse describes how indirect prompt injection through user-generated data rows, schema probing, and result-based exfiltration threaten agentic analytics. Authored by a Dremio engineer, it lays out a threat model where an authenticated agent cannot distinguish operator instructions from database content, and proposes defenses like query validation, reach constraints, result inspection, throttling, and identity design.