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New benchmark reveals PII redaction tools leak sensitive data in LLM agents

By PulseAugur Editorial · [1 sources] ·

A new benchmark, privaite-bench, has been developed to test the effectiveness of PII (Personally Identifiable Information) redaction tools when dealing with LLM agent requests. The benchmark reveals that many common tools, which only scan message text, fail to redact PII embedded within tool-call arguments or multimodal content. A structured-aware approach, combining Presidio and OpenAI's privacy-filter model, demonstrates improved PII detection and reversible pseudonymization, ensuring that sensitive data is not leaked to LLM providers. AI

IMPACT Highlights critical security gaps in current PII redaction for LLM agents, pushing for structured-aware solutions to prevent data leakage.

RANK_REASON The article describes a new tool (PrivAiTe) and a benchmark for evaluating PII redaction tools in the context of LLM agents.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark reveals PII redaction tools leak sensitive data in LLM agents

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The article describes a new tool (PrivAiTe) and a benchmark for evaluating PII redaction tools in the context of LLM agents.
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product, safety
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High
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92 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · crp4222 ·

    Your PII redactor probably leaks tool-call arguments

    <p>Most "redact PII before the LLM" tools scan the chat message text and stop there. That was fine when an LLM call was one string in, one string out. It is not fine for agents.</p> <p>An agentic request carries user data in places that are not the message text:</p> <ul> <li> <st…

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