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AI · alternatives · 2026

24 alternatives to PromptShield LLMPrompt Injection Defense

Production grade prompt injection defense middleware for LLM

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Protect your LLM applications with a few lines of code.

    2023 · lakera.ai · its alternatives →

  2. 2

    The world’s first LLM Firewall

    2025 · 80jtqnlzdhcr.trickle.host · its alternatives →

  3. 3

    Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️ - arekusandr/last_layer

    2024 · github.com · its alternatives →

  4. 4

    Just stop jailbreaks & prompt hacks with one API call.

    2025 · expireddomains.com · its alternatives →

  5. 5

    New ways of breaking app-integrated LLMs . Contribute to greshake/llm-security development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  6. 6

    Every other gateway is detect-and-block. You don't get a security grade. You don't get red team in CI. We built the one that does. PromptGuard is a proxy: change your base URL (one line with our SDK, or a few lines without), and every request gets checked for prompt injection, PII leaks, jailbreaks, and abuse. 20+ threat vectors, 39+ PII types. We also ship a red team suite and an autonomous agent that mutates attacks to find bypasses - you get a grade (A-F) and a GitHub Action that runs these tests on every PR. So you see where you're weak before you ship. Works with OpenAI, Anthropic,…

    Dec 2025 · promptguard.co · its alternatives →

  7. 7

    Trap Prompt Injection and Jailbreak attacks on LLMs

    May 2026 · its alternatives →

  8. 8

    LLM prompt testing suite

    2024 · its alternatives →

  9. 9

    Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…

    2025 · archestra.ai · its alternatives →

  10. 10

    Tiny prompt-injection firewall for LLM chat apps. 14 MB.

    May 2026 · github.com · its alternatives →

  11. 11

    Protect your AI apps against prompt injections

    2023 · its alternatives →

  12. 12

    Connect LLM chats directly to your file system

    2025 · its alternatives →

  13. 13

    Block malicious web content before it reaches your AI.

    Jan 2026 · its alternatives →

  14. 14

    Stop prompt injection before it reaches your AI agent

    Aug 2026 · mcp.glc-rag.hu · its alternatives →

  15. 15AM

    I made an open source, MIT license Typescript library based on some of the latest research that generates prompt injection attacks. It is a super minimal/lightweight and designed to be super easy to use. Keen to hear your thoughts and please be responsible and only pen test systems where you have permission to pen test!

    2025 · prompt-injector.blueprintlab.io · its alternatives →

  16. 16

    Prompt-injection firewall for prod LLM apps

    Jul 2026 · insightits.com · its alternatives →

  17. 17

    Secure what you build from day 1

    2025 · shipsecure.kit.com · its alternatives →

  18. 18

    Stop malicious prompts before they reach your AI

    Dec 2025 · antijection.com · its alternatives →

  19. 19

    Anonymize client docs before you paste them into AI

    Jul 2026 · promptshield.ca · its alternatives →

  20. 20

    PromptLayer is the prompt management platform for AI teams. Version prompts, run LLM evals, and monitor agents in production with tracing, logs, and regression sets.

    2023 · promptlayer.com · its alternatives →

  21. 21

    Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard. Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement. Three modes: Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etc One line to integrate: npm…

    Feb 2026 · limits.dev · its alternatives →

  22. 22

    Hi HN, I built this open-source LLM red teaming tool based on my experience scaling LLMs at a big co to millions of users... and seeing all the bad things people did. How it works: - Uses an unaligned model to create toxic inputs - Runs these inputs through your app using different techniques: raw, prompt injection, and a chain-of-thought jailbreak that tries to re-frame the request to trick the LLM. - Probes a bunch of other failure cases (e.g. will your customer support bot recommend a competitor? Does it think it can process a refund when it can't? Will it leak your user's address?) -…

    2024 · promptfoo.dev · its alternatives →

  23. 23

    Stop malicious AI prompts in 1 API call

    2025 · its alternatives →

  24. 24

    Prompt injection detection API for AI agents

    May 2026 · agentshield.pro · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →