UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

A jailbreak detection bypass for modern iOS jailbreaks.

Bringing back the most advanced system and security analysis tool.

A playground for run-time iOS app inspection

iOS library (SDK) providing app security and threat monitoring. Shield your app with free RASP. Detect reverse engineering, jailbreak, Frida, emulators, bots, signature and integrity issues, VPN usage, and monitor device identification and more.

Jailbreak detection was changed through the years. This is a history overview and analysis of modern applications like Snapchat and Pokemon GO.

AI Security Platform: Defense (61 Rust engines + Micro-Model Swarm) + Offense (39K+ payloads)

Modern Jailbreak Detection Demo

Detect whether iOS device is jailbroken or not | Jailbreak detection for iOS

Frida script to bypass the iOS application Jailbreak Detection

Prompt-injection guardrail for LLM applications. Compact model that outperforms larger open-source guards. No regex, no signatures. Demo: anton.securelayer7.net

Deterministic, zero-dependency Python firewall for AI agents — MCP rug-pull, memory poisoning, indirect injection, exfil channels. 44 compliance templates (US/CN/JP/EU).

A tweak help hidden jailbreak detection

Jailbreak detection bypasses based on Frida.

Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.

Deterministic AI defense framework: immutable input filtering, n-model cryptographic hash consensus, and self-learning adaptive rules. Zero dependencies. Hardware-sealed. Patent Pending.

little-canary is a prompt-injection detector that reads attacks by their effect on a sacrificial canary model before they reach production. Puts a small canary model in front of your app, watches whether untrusted input compromises it, and returns block, flag, or pass as an inbound preflight check before your primary model acts.

Heuristic device integrity signals for Flutter (root/jailbreak, emulator/simulator, Frida/hook, debugger) – Android & iOS

🛡️ Programmable Guardrails for LLM Applications in Java. A framework-agnostic toolkit for input/output validation, PII masking, and jailbreak detection. The Java alternative to NVIDIA NeMo Guardrails.

Source code for bypass tweaks hosted under https://github.com/hekatos/repo. Licensed under 0BSD except submodules