# LLM Security Toolkit by CS — Harden AI apps offline

> Harden AI apps offline (iPhone/iPad app by ChatStick Company Limited.)

- Source: https://appshunter.io/ios/app/llm-security-toolkit-by-cs/id6782820498 (this page in markdown: same URL + `.md`)
- Developer: [ChatStick Company Limited](https://appshunter.io/developer/1165816085)
- Category: Education, Developer Tools
- Price: $4.99
- Age rating: +4
- Requires: iOS 26.0 · 16 MB
- Languages: American English
- Released: 2026-06-30
- Data updated: 2026-08-30
- User reviews in markdown: https://appshunter.io/ios/app/llm-security-toolkit-by-cs/id6782820498/reviews.md

## What is LLM Security Toolkit by CS?

LLM Security Toolkit helps builders, security teams, and students learn how to assess and harden production LLM applications from one offline iPhone and iPad app.

Use the built-in guide to study practical AI security topics including prompt injection, indirect prompt injection, data exfiltration, model extraction, insecure output handling, supply chain risk, incident response, and agentic AI governance.

Work through a phased hardening checklist, track reading progress, bookmark chapters, and build a repeatable security review habit. Interactive calculators help you score LLM risk, program maturity, prompt injection defense coverage, and incident severity. A posture report combines your assessment results and can be shared as text or PDF.

The learning area includes chapter quizzes, exam mode, flashcards, glossary terms, achievements, and a diagram gallery. The toolkit also includes authorized security testing payload examples and incident response runbooks for common AI security breach types.

Designed for educational and defensive use, the app keeps progress and assessment data on device and does not require an account to use the included content.


## Version history (last 1 release)

### 1.0 — 2026-06-30

No release notes.

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All apps by ChatStick Company Limited: https://appshunter.io/developer/1165816085

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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 2026-08-30.*