FraudShield vs Telcape

Protecting users from financial fraud. Instantly. Privately. On your device... FraudShield is a powerful yet mobile application designed to protect you from financial fraud messages—all without compromising your privacy. Built using cutting-edge Large Language Models (LLMs) on device, FraudShield empowers you with real-time fraud detection that runs directly on your device. No cloud. No delays. No data leaks. Key Features: On-Device Fraud Detection Analyze SMS, emails, or any suspicious message using advanced LLMs. No internet connection required after model download. Choose Your Preferred Model Select from a list of pre-trained fraud detection models like Qwen1.5-0.5B-Chat, Llama-160M—customized and all other optimized models for mobile use. Instant Alerts Receive immediate feedback: “Fraud Detected” or “Safe Message” with helpful prompts to guide your next steps. Privacy-Preserving AI We never upload or store your data. Everything is processed locally to ensure full compliance with GDPR and CCPA. Lightweight and Fast Optimized using ONNX Runtime and quantized models variants to ensure smooth performance even on mid-tier devices. User Feedback Loop (Optional) Help improve accuracy by sharing anonymized feedback—with your consent. How It Works: - Paste or type a suspicious message. - Select a model from our curated list of lightweight LLMs. - Tap "Check for Fraud" to get your result instantly. - Review the result—Fraud or Safe—right on your screen. - (Optional) Help improve future results with quick feedback. Built for Security-First Environments FraudShield is ideal for individuals, financial professionals, and mobile users in high-risk regions. Designed with accessibility, speed, and privacy in mind. Install now and protect yourself from scams, phishing, and fraud—intelligently and privately.

Telcape Security Labs helps individuals and organisations make safer decisions during everyday digital interactions. Using AI-assisted analysis and OSINT signals, Telcape evaluates phone numbers, SMS messages, URLs, email metadata, and QR codes to identify hidden risks and suspicious activity. The platform converts complex technical signals into simplified Risk Likelihood scores with clear explanations, making digital safety easier to understand.