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Prompt Inspector review

Freemium#25 of 30 in LLM Security Tools

A focused prompt-injection defense layer with flexible deployment and developer tooling.

5.3/10Editor score
Prompt Inspector5.3 Try Prompt Inspector

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Prompt Inspector is an open-source security layer for LLM-powered applications and AI agents. It analyzes untrusted prompts before they reach a language model through sensitive-word matching, semantic vector-based threat detection, optional AI review, and result arbitration. The product is aimed at developers building chatbots, autonomous agents, AI coding tools, and other applications that need prompt-injection defenses. It is available through a cloud API, Python and Node.js SDKs, an MCP server, and self-hosted deployment across web, API, Windows, macOS, and Linux.

The product’s strongest fit is its developer-facing ecosystem. A REST API provides prompt safety verdicts, while the Python and Node.js SDKs support application integration. MCP server integration connects the product with Model Context Protocol workflows, and listed integrations include Cursor, VS Code Copilot, Claude Desktop, and Dify. Custom sensitive-word lists support literal and regex matching, giving teams a way to define application-specific terms alongside semantic detection. The threat payload library adds a dedicated reference point for known threats, with self-iterating enrichment described as part of the feature set.

Prompt Inspector uses a freemium structure with Free, Starter, Pro, and Enterprise plans. The free plan can make it accessible for early evaluation or smaller development projects, while the broader plan structure gives teams room to adopt additional commercial tiers as their needs change. Self-hosting is relevant for teams that want deployment control, and the open-source model may suit developers who prefer to inspect or operate the security layer themselves. Choose Prompt Inspector when prompt-injection detection, MCP support, and flexible deployment are the priority. Choose a broader runtime guardrail platform when verified coverage beyond prompt-injection defense is the deciding requirement.

Prompt Inspector pros and cons

  • Where it wins
    • Multi-layer and semantic analysis targets prompt-injection threats
    • Open-source deployment supports cloud API and self-hosted use
    • REST API, SDKs, MCP, and editor integrations support developer workflows
  • Where it doesn't
    • Its verified protection scope is narrower than full runtime guardrail platforms
    • AI review is optional rather than a universal analysis step
    • The product is focused on prompt-injection defense rather than broad LLM security

Prompt Inspector fact sheet, pricing and score →

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