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Rust tool `promptfirewall` offers 12μs local scanning for LLM prompt injection

By PulseAugur Editorial · [1 sources] ·

A developer has created a new open-source tool called `promptfirewall` written in Rust, designed to detect and mitigate prompt injection and Personally Identifiable Information (PII) leaks in LLM applications. This tool boasts significantly faster performance than existing solutions, scanning in just 12 microseconds locally without network calls. It achieves this speed by employing regex patterns with checksum validation for PII detection and a multi-layered approach combining heuristics, TF-IDF classification, and entropy analysis for prompt injection detection. AI

IMPACT Offers a significantly faster, local alternative for LLM security, potentially reducing costs and improving user privacy.

RANK_REASON Developer-created tool for LLM security.

Read on dev.to — LLM tag →

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

Rust tool `promptfirewall` offers 12μs local scanning for LLM prompt injection

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Developer-created tool for LLM security.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
18 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

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

    I built a prompt injection firewall in Rust. It scans in 12 microseconds.

    <h1> I built a prompt injection firewall in Rust. It scans in 12μs. </h1> <p>Every LLM application has the same two problems:</p> <ol> <li>Users paste sensitive data (SSNs, credit cards, API keys) into prompts — and you send it to OpenAI/Anthropic/Google</li> <li>Users (or attack…

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