PocketTM vs MagGit

Welcome to PocketTM App Summary At the grocery store, do you need to perform a Threat Model? No problem, PocketTM is here to help you. Want to save time while still covering everything you need as part of performing a Threat Model? Introducing PocketTM, an iOS application designed to guide security professionals through comprehensive security threat assessments using Microsoft's STRIDE framework. The app provides a structured approach to identifying potential security vulnerabilities during system design phases, transforming complex threat modeling into an accessible, step-by-step process. Pocket Threat Model (PocketTM) is a comprehensive threat modeling companion for security professionals, developers, and architects. Browse and assess threats using the industry-standard STRIDE framework plus a dedicated AI & Machine Learning section covering today's most critical AI risks. Select relevant threats, explore guided discovery questions, review mapped mitigation strategies, and generate shareable HTML reports — all from your pocket. STRIDE Framework — Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege AI Threat Modeling — Prompt Injection, Training Data Poisoning, Adversarial Attacks, AI Agent Risks, Model Theft, Hallucination & Output Integrity, Supply Chain, Bias & Ethics, Sensitive Data Exposure, Shadow AI, AI Social Engineering, Vector & Embedding Attacks, Fine-Tuning Subversion, Multimodal Attacks, AI Denial of Service 702 discovery questions · 101 mitigation strategies · 49 threat risks · Shareable HTML reports

MagGit is a powerful AI code detection scanner that analyzes GitHub repositories to identify whether code was written by a human, generated by AI, or a mix of both. Simply search for any public GitHub repository, and MagGit will scan its files in real-time, providing detailed results you can act on. HOW IT WORKS • Search — Find any public GitHub repository by name or owner/repo format. • Scan — MagGit analyzes source files using advanced heuristic pattern detection. • Review — Get a file-by-file breakdown with confidence scores and an overall verdict. KEY FEATURES ▸ AI Pattern Analysis Detects common AI coding patterns across multiple programming languages including repetitive structures, generic naming, boilerplate signatures, and more. ▸ File-by-File Confidence Scoring Every analyzed file receives an individual confidence score (0–100%) and a verdict: Human, AI, or Mixed. ▸ Overall Repository Verdict See an aggregate score for the entire repository at a glance, so you can quickly assess code origin. ▸ Deep Scan Engine Heuristic-based detection examines code structure, commenting style, variable naming conventions, and formatting patterns to determine code authorship. ▸ Trending Repositories Quickly scan popular repositories like React, Next.js, VS Code, Deno, Tailwind CSS, and more with a single tap. ▸ Beautiful, Fast Interface Designed for mobile-first use with smooth animations, haptic feedback, and a clean dark interface that's easy on the eyes. PRIVACY & DATA PRACTICES MagGit is designed with privacy at its core: • NO THIRD-PARTY AI SERVICES — MagGit does NOT send any code or user data to any third-party AI service, machine learning API, or external analysis tool. All code detection is performed entirely on your device. • DATA ACCESSED — The app only accesses publicly available GitHub repository data (repository metadata and source code files) via the GitHub REST API (api.github.com). • ON-DEVICE ANALYSIS — All heuristic pattern analysis runs locally on your device. No code leaves your device for analysis. • NO PERSONAL DATA COLLECTED — MagGit does not collect, store, or transmit any personal information, user accounts, emails, or browsing history. • NO EXTERNAL SERVERS — Analysis results are never stored on or transmitted to any server. • CONSENT — The app requests your explicit permission before accessing any GitHub data, and you can revoke consent at any time. For full details, see our Privacy Policy accessible within the app. WHO IS IT FOR? • Developers who want to verify the originality of open-source contributions • Hiring managers reviewing candidate code submissions • Educators checking student projects for AI-generated code • Open-source maintainers auditing pull requests • Anyone curious about the origin of code in public repositories IMPORTANT NOTE MagGit uses heuristic-based pattern analysis. Results are indicative and should be used as a reference, not as definitive proof of code authorship. No detection tool is 100% accurate. Download MagGit today and start scanning repositories in seconds.