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rednblue

rednblue.ioInfrastructure

PulseGate's liveness check found it on 17 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 17 Sep 2026. How this is checked

rednblue is a command-line tool for adversarial security testing of LLM, RAG, agent, and vision models. It helps AI security and machine learning teams identify vulnerabilities through automated testing workflows.

Inferred · not functionally tested

WebCLI
rednblue preview
Visit rednblue.io

Overview

6 features

Purpose: Testing AI systems for adversarial vulnerabilities across language, retrieval, agent, and vision workflows.

Inferred · not functionally tested

Audience: AI security engineers and machine learning developers

Inferred · not functionally tested

Functions: Unknown

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

Recorded constraints: pricing: unknown · license: Proprietary · platforms: CLI, WEB · deployment: browser, cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: rednblue.io · github.com. These links do not verify the individual claims.

In the AI & LLM security space, rednblue takes a focused approach. Inferred · not functionally tested: It focuses on testing AI systems for adversarial vulnerabilities across language, retrieval, agent, and vision workflows. Inferred · not functionally tested: It is built as a B2B product for AI security engineers and machine learning developers. Basis unknown · not verified: It runs on the web and the command line.

It is developed by Mahdi DRM, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are adversarial testing, LLM testing, and RAG testing.

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

Tasks: Inferred · not functionally tested

  • Adversarial testing
  • LLM testing
  • RAG testing
  • Agent testing
  • Vision model testing
  • Security assessment

Topics: Inferred · not functionally tested

Tags
adversarial-testingllm-securityrag-securityagent-securityvision-model-security
AI capabilities
TextImageMultimodal
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
BrowserCLI

Trust & compliance

Public signals
HTTPSGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed17 Sep · 19:20 UTC
    rednblue seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about rednblue

What is rednblue?
Inferred · not functionally tested: Rednblue focuses on testing AI systems for adversarial vulnerabilities across language, retrieval, agent, and vision workflows. It is catalogued under AI & LLM security on PulseGate.
Who should use rednblue?
Inferred · not functionally tested: rednblue is a B2B product built for AI security engineers and machine learning developers.
What platforms does rednblue run on?
Basis unknown · not verified: rednblue runs on the web and the command line.
Is rednblue still active?
PulseGate's liveness check found it on 17 Sep 2026.
What are alternatives to rednblue?
Similar projects tracked by PulseGate include agent-redteam, respan-redteam, and redteam-arena.agent-redteamrespan-redteamredteam-arena
Who develops rednblue?
rednblue is developed by Mahdi DRM.
How long has rednblue been around?
rednblue first shipped in 2026.
Is rednblue open source?
Basis unknown · not verified: rednblue has a public GitHub repository.

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