safteylayer

3 ms·

1.
by safteylayer 6mo ago
I love the article. I have something in ai that can help.
2.
by safteylayer 7mo ago
YOU ARE WRONG.
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by safteylayer 7mo ago
matrixgard — spot on. The vault/proxy layer solves input hygiene (paste risk), but the semantic leakage from training corpus (ek_ prefix, EPHEMERAL_KEY naming, client_secret endpoint, TTL discrepancy) is a systemic weight-level issue.
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Ek_ Leaks Persist
1 points by safteylayer 7mo ago|2 comments
5.
by safteylayer 7mo ago
Spot on — runtime vaults/proxies are the gold standard. If devs never see raw keys (just masked refs or scoped tokens), the 2am paste risk vanishes. Tools like API Stronghold that enforce this are exactly the right prevention layer. Bu
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by safteylayer 7mo ago
Spot on about the 2am 401 error being where security dies. The "lazy-paste" is universal. But here's what I'm finding: regex on outbound requests isn't enough anymore because the model has already been "pre-poi
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by safteylayer 7mo ago
You hit the nail on the head regarding the 'circular nightmare.' To take it a step further: SafetyLayer was actually built by exploiting the very leak I'm now detecting. I used the model's own training on refusal example
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by safteylayer 7mo ago
Exactly — this is the circular nightmare in action. 1. Dev gets 401 / rate-limit / weird error 2. Pastes full API key + request into GPT-4o / Claude for "why isn't this working?" 3. That key (or close pattern)
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GPT-4 leaks its own API internals through training data exposure
1 points by safteylayer 7mo ago|5 comments
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I ran the same AI security test 4 times – 75% found critical bypasses
1 points by safteylayer 7mo ago|0 comments