AI agents leak credentials unprompted, but scanner caught every instance in 5,000-call test
A developer ran a 5,000-call verification test across five AI models to determine whether agents leak embedded credentials during routine tasks — without any instruction to do so. The experiment used a neutral debug assistant scenario, planting synthetic credentials from ten common families inside realistic crash logs to avoid real-world harm. Results showed that natural credential leakage does occur but is highly uneven across different models. Notably, every instance of leakage was successfully detected by the scanner under test. The findings come against a broader backdrop of rising AI-assisted secret exposure, with GitGuardian's 2026 report recording 28.6 million new secrets leaked on GitHub in 2025 — a 34% year-on-year increase.
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