ai_guardrails

Purpose: Protecting Dart and Flutter AI applications from PII exposure, prompt injection, secret leakage, and unsafe model output.

Inferred · not functionally tested

Audience: Dart and Flutter developers building AI applications

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: API, WEB · deployment: browser, self_hosted, api_only, ios, android, macos, windows, linux

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pub.dev · github.com. These links do not verify the individual claims.

ai_guardrails sits in PulseGate's AI security & guardrails category. Inferred · not functionally tested: It focuses on protecting Dart and Flutter AI applications from PII exposure, prompt injection, secret leakage, and unsafe model output. Inferred · not functionally tested: ai_guardrails is an open-source project aimed at dart and Flutter developers building AI applications. Basis unknown · not verified: ai_guardrails is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the web, API, iOS, Android, and macOS, and it can be self-hosted.

It is developed by kryonex.io, and it first shipped in 2026. The project is developed in the open on GitHub with 49 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include PII Redaction, Prompt Injection Detection, and Secret Detection. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.