Analysis

What Is AI Agent Secret Leakage? Definition & Examples

Page published

Publication date unknown · First observed: 29 Oct 2026

Coverage timeline

29 Oct 2026nhimg.orgobserved

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.