๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น ๐ฆ๐๐ฐ๐ฐ๐ฒ๐๐ ๐๐ ๐ ๐ฆ๐ฎ๐ณ๐ฒ๐๐ ๐๐ฎ๐ถ๐น๐๐ฟ๐ฒ
Your AI agent finds a sensitive memory. The memory has the wrong label. It says it is safe. The agent shares the secret. This is a false-certainty error.
Retrieval worked as intended. The system found the right data. This success made the agent dangerous.
I tested this with two data sets. One used PII. One used industrial safety notes.
The results show a hard trade-off.
- Relevance-first search finds the memory. It then leaks the data.
- Governance-first search stays safe. It fails to find the memory.
Changing weights will not fix this. The problem happens at the start. If a memory enters the store with no authority signals, the system fails.
You need two fixes.
- Write-time gates. Check metadata before saving.
- Operation authorization. Check the action, not the memory label.
This is part of the Self-Correcting Systems series.
Source: https://dev.to/zep1997/retrieval-found-the-sensitive-memory-that-made-it-more-dangerous-51n7 Optional learning community: https://t.me/GyaanSetuAi