Can I get feedback on our 'Lazy Loading' PII redaction architecture?
PIIlazy loadingarchitecture
Would love feedback on our new 'Lazy Loading' architecture for PII redaction
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A 'Lazy Loading' architecture for PII redaction can be an effective approach to handling sensitive data. The concept involves loading and processing PII data only when necessary, reducing the attack surface and minimizing the amount of sensitive data in memory. To make this architecture successful, it's crucial to implement robust access controls, ensure proper data encryption, and conduct regular security audits. Additionally, consider implementing a data masking or tokenization strategy to further protect sensitive information.
Hey HN, maker here. We just released v2.0 of Vigil (formerly AgentShield).
We kept seeing agents get blocked by security teams because they couldn't verify who the agent was or how much it was spending.
v2.0 introduces a Cryptographic Identity layer. We sign requests using RSA-2048 keys (locally) or AWS KMS (in prod) so you can verify agent actions non-repudiably. We also added a hybrid cost engine that tracks token usage offline for local models (Llama 3/Mistral) so you can dev for free.
Everything is Python/Flask. Would love feedback on our new 'Lazy Loading' architecture for PII redaction.