Analysis
What Is AI Agent Secret Leakage? Definition & Examples
Publication date unknown · Discovered nhimg.org
Page published
Publication date unknown · First observed: 29 Oct 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
AI agent secret leakage makes context minimization and controls on outputs, logs, and tool handoffs important for preventing usable credentials from spreading across connected systems.
NHI Mgmt Group’s glossary entry defines AI agent secret leakage as unintended exposure of credentials, tokens, and other sensitive data through agent outputs, logs, tool calls, or downstream services. The entry explains how overly broad context and connected workflows create leakage paths, without reporting a specific incident or new experimental findings.