Security · 1h ago
Leak scanner reveals AI reasoning channels expose secrets even when outputs stay clean
A developer-built leak scanner tested on four common AI models found that data escapes through reasoning channels while visible outputs remain clean. The tool caught literal secrets with zero false positives but failed on unknown data families. The author warns that confidence in token security is not coverage, citing a $82,314 stolen API key incident and 88% of organizations reporting agent breaches.
Meridian48 take
The finding that reasoning channels leak more than answers underscores a blind spot in AI security that most logging tools miss, making this a practical warning for developers deploying agents.
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I built a leak scanner, then measured exactly where it fails. Here's both. →
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