AI Output and Sink Security Analysis

Analyze model output before another system renders, executes, stores, or sends it.

Select the destination sink and analyze model output for rendering injection, unsafe links, sensitive disclosure, command fields, tool-call risk, email or database effects, code execution, terminal use, and missing validation or approval controls.

Analyze an output Scope an Output Safety Review

IS THE OUTPUT SAFE FOR ITS DESTINATION?

Sink-aware analysis

Apply different security requirements to HTML, Markdown, JSON, tool calls, email, databases, code, terminal output, and other consequential destinations.

Deterministic rules

Identify unsafe markup, event handlers, links, commands, hidden context, sensitive information, action fields, and missing validation controls.

Control-oriented findings

Explain which encoding, validation, allowlisting, sandboxing, approval, redaction, rendering, or execution control is required.

No runtime claim

Static output analysis identifies supported risks in submitted content. It does not prove how a specific downstream application will execute or render that content.

Load example:

Output sink:

Output risk depends on where the flow ends

Model output to HTML rendererModel output to Markdown viewerModel output to JSON parserModel output to tool invocationModel output to email senderModel output to database operationModel output to code interpreterModel output to terminal or shellModel output to external API

The same model-generated string can be harmless in one destination and dangerous in another. Analysis must retain the sink, parser, identity, permissions, validation controls, approval state, and possible side effect.

Unsafe output can become one step in a wider path

Output Safety Analysis identifies destination-specific risk. Attack Path Analysis determines whether the output relationship combines with identity, authority, tool, workflow, and consequence evidence into a wider attack path.

AI SECURITY WORKBENCH

Ready to put Output Safety Analysis to work?

Start with one bounded application, workflow, tool set, or security decision. Use the relevant Workbench experience to produce connected context, reviewable findings, assigned controls, and explicit next steps.

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Code Scanner

Find unsafe output handling and destination relationships in implementation context.

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Adversarial Range

Exercise output and downstream-action failures in realistic workflows.

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Runtime Trace

Observe what the application rendered, executed, stored, sent, or changed.