This page is designed to help you find out whether PromptShield is good and if it is the right choice for you.
PromptShield is a lightweight, zero-telemetry cybersecurity suite designed for developers building with LLMs or sending code and logs into Claude, ChatGPT, and Gemini.
It runs 100% locally on your machine with zero network calls, addressing two major AI security risks: 1. Accidental Credential & PII Leaks: Strips API keys, passwords, database URIs, and identity tokens from error traces and prompts before they leave your computer. 2. Prompt Injections & Jailbreaks: An ultra-fast (< 0.2ms) pattern and heuristic firewall that inspects incoming user queries and neutralises adversarial attacks before they reach model APIs.
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Secret Masking
Redacts API keys, private keys, database URIs, passwords, and PII before prompts leave the device.
Prompt Injection Detection
Blocks direct overrides, DAN and jailbreak personas, system prompt extraction, and hidden Unicode payloads in under 0.2 ms.
PII Detection
Checks Australian TFNs and Medicare numbers, mobile numbers, credit cards, and other identity data before transmission.
PromptShield combines two protections in one local-first tool:
It uses Python's standard library, zero telemetry, and zero external network calls. The code is open source and there is a live browser demo.
Choose PromptShield when protection should stay on the developer's machine. It combines outbound secret and PII sanitisation with inbound prompt-injection defence, uses Python's standard library, makes no external network calls, and has zero telemetry. Deterministic pseudonyms preserve useful context, while the Guard engine is designed for sub-millisecond checks. The project is open source and includes a live browser demo.
PromptShield is for developers and small teams who send source code, logs, tickets, or customer text to Claude, ChatGPT, Gemini, and other LLMs. It also suits maintainers of LLM agents and RAG pipelines, security and privacy-conscious organisations, and people who use terminal AI tools. It is designed for users who want local, auditable controls without sending sensitive data to a third-party scanning service.
PromptShield was created for a practical problem in AI workflows: people can paste secrets and personal data into model prompts, while agent-facing prompts can carry injections and jailbreaks. The project addresses both directions with a local-first Python tool that sanitises outbound data and guards inbound prompts. It grew into an open-source project with a CLI, Git hook, clipboard workflow, CI integration, and browser sandbox. Zero telemetry and a standard-library-only implementation keep deployment simple.
The CLI and core engines use Python 3.8+ and the Python standard library. Detection combines secret signatures, pattern matching, entropy checks, Luhn credit-card validation, Australian TFN Mod 11 validation, and heuristics for prompt injection, jailbreaks, system-prompt extraction, and hidden Unicode. The project also includes Git hooks and GitHub Actions integration. The interactive demo runs client-side in the browser with JavaScript and WebAssembly.
We have collected here some useful links to help you find out if PromptShield is good.
Check the traffic stats of PromptShield on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of PromptShield on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of PromptShield's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of PromptShield on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is PromptShield good? This is an informative page that will help you find out. Moreover, you can review and discuss PromptShield here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
