CyberGuard dictionary / AI Security
Insecure Output Handling
Insecure output handling occurs when an application treats AI generated text as trusted code, markup, instructions, or commands without appropriate validation.
In simple terms
The model answer is data. If software runs that answer as a shell command or inserts it into a web page unsafely, an attacker may gain an execution path.
Technical explanation
The failure is at the boundary between model output and a downstream interpreter or privileged action. Use context-specific encoding, strict schemas, allowlisted operations, and independent authorization before effects occur.
Model output should be treated as untrusted input to any browser, command runner, database, or external tool. Parsing, context-specific encoding, and independent policy checks are required before use.
Examples in practice
A generated summary contains HTML that a dashboard inserts without escaping, allowing a script to run in another user's browser.
A generated customer summary includes markup copied from a ticket. The dashboard displays it as text rather than HTML, so a hidden script cannot run for the support agent.
Why it matters
Checking the text for suspicious words is weaker than enforcing safe output types and execution boundaries.
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Sources and further reading
Published 2026-10-15 · Last updated 2026-10-15 · CyberGuard editorial content. Source links provide context; they do not imply endorsement.