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Show HN: SafeKey – Open-source PII redaction for LLM inputs (text, image, audio)

https://www.safekeylab.com
2•safekeylab•48m ago
Hey HN, I built SafeKey because I was handling patient data as an Army medic, then doing AI research at Cornell. Every time we tried to use LLMs, sensitive data leaked. Nothing worked across modalities. SafeKey sits between your app and the model. It redacts PII before data leaves your environment. Text, images, audio, video. 99%+ accuracy, sub-30ms latency, deploys in minutes. We also block prompt injection and jailbreaks (95%+ F1, zero false positives). Stack: Python SDK, REST API, runs in your VPC or our cloud. Would love feedback on the approach. Happy to answer questions.

Comments

tonetegeatinst•25m ago
Awesome tool and team you have.

Few questions I though of, and I apologize if they seem stupid as ML is not my focus of study.

1.Has your team ever considered formal verification of code to show how reliable the process you have is?

2. If data has been removed via your pipeline, is it possible to still infer the type of data based on position or format? (Names of people being located in certain places of a sentence, or say the fact the data is formated a certain way could reveal its a date or timestamp?)

3. You mentioned clients can deploy via VPS, does that mean this is a fedramp ready product? (Do you see this tool being offered to public institutions?)

4. Do you have any internship openings for college students in the summer of 2026?

vunderba•22m ago
The only link on the site to a source repository is a 404 Github repository.

https://github.com/safekeylab

EDIT: Manually searching Github leads to this https://github.com/sukincornell/safekeylab (assuming that is the correct one)

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