# RedTeaming

> RedTeaming (iPhone/iPad app by Luca Ceci.)

- Source: https://appshunter.io/ios/app/redteaming/id6757193761 (this page in markdown: same URL + `.md`)
- Developer: [Luca Ceci](https://appshunter.io/developer/923764949)
- Category: Utilities
- Price: $1.99
- Age rating: 4+
- Requires: iOS 26.2 · 3 MB
- Languages: English
- Released: 2026-09-11
- Data updated: 2026-09-12
- User reviews in markdown: https://appshunter.io/ios/app/redteaming/id6757193761/reviews.md

## What is RedTeaming?

Responsible AI - Red Teaming Tool is a professional companion for AI security researchers, compliance officers, and development teams who need to systematically test Large Language Models (LLMs) against real-world attack patterns and regulatory requirements.

--- WHAT IT DOES ---

The app provides a structured red teaming workflow that covers four key dimensions of LLM risk: attack effectiveness, OWASP risk classification, EU AI Act compliance, and adversarial technique detection.

--- KEY FEATURES ---

Prompt-Response Analyzer
Evaluate any prompt/response pair in real time. Get an instant risk score (High / Medium / Low), OWASP LLM Top 10 classification with confidence scores, detection of active red teaming techniques, and a 7-article EU AI Act compliance breakdown. Use "Suggest Next Attack" to receive an AI-generated follow-up adversarial prompt.

Dataset Analysis
Import a CSV file containing prompt/response pairs and run a batch analysis across all rows. The app processes each entry sequentially through the evaluation engine and produces aggregated statistics on attack results, OWASP risk distribution, technique frequency, and EU AI Act article violations. Export the enriched dataset as CSV.

Chatbot Context (New in 3.2)
All three evaluation modules — Prompt-Response Analyzer, Dataset Analysis, and Prompt Perturbation Lab — now support an optional Chatbot Context field. Describe the AI system under test: its domain (e.g. banking, healthcare, HR), role (e.g. customer support chatbot, internal assistant, RAG bot), key policies from its system prompt, and target audience. The evaluator uses this context to produce more accurate and specific risk assessments tailored to the actual deployment scenario.

EU AI Act Compliance Dashboard
Drill down into each of the 7 monitored articles (Art. 5, 9, 13, 14, 15, 53, 55). Tap any Non-Compliant or Partially Compliant result to open a detailed view showing the exact rows that triggered the finding, with evidence and risk level.

Analytics and Charts
Visual dashboards powered by Swift Charts: attack result donut chart, EU AI Act grouped bar chart per article, OWASP LLM Top 10 average confidence bars, and a ranking of the top detected red teaming techniques across the dataset.

Techniques Library
Browse and explore all 95 documented red teaming techniques, from classic Prompt Injection and Role-Playing attacks to advanced methods such as Many-Shot Jailbreaking, GCG Adversarial Suffix, and Constitutional-AI Bypass.

Prompt Perturbation Lab
Select any of the 95 techniques, provide a seed prompt, and generate N perturbed variants using LLM. Ideal for creating diverse adversarial test sets. Export results as CSV.

Voice Lab
Generate voice audio streams to test Voice Chatbot AI and Voice Agent AI systems. Choose from 25 voice profiles across four categories: Baseline (US English), L2 Accent (Arabic, Hindi, Mandarin, Spanish and more), Regional English (Australian, British, Irish, Singaporean and more), and Neurodiversity (mild stutter, slow processing, pressured speech, electrolarynx). Play audio directly on device or export as WAV file.

--- WHO IS IT FOR ---

- AI Red Teamers and Security Researchers
- Responsible AI / AI Governance teams
- LLM developers validating model safety
- Compliance officers assessing EU AI Act adherence
- Academic researchers studying adversarial AI

--- REQUIREMENTS ---

- iPhone 12 or later (large display required)
- iOS 26 or later
- Internet connection for analysis features


## Version history (last 1 release)

### 1.0 — 2026-09-12

No release notes.

## More apps by Luca Ceci

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- [iStreaming](https://appshunter.io/ios/app/istreaming/id946755476)
- [iEnvironment](https://appshunter.io/ios/app/ienvironment/id979045260)
- [iPartigiani](https://appshunter.io/ios/app/ipartigiani/id991015054)
- [WebSocket Client](https://appshunter.io/ios/app/websocket-client/id992888282)

All apps by Luca Ceci: https://appshunter.io/developer/923764949

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-09-12.*