The Silent Sentinel: Rust-Powered WASM for Lightning-Fast Bot Detection at the Edge by Barış Güler

Conference: Wasm I/O 2025

Year: 2025

Wasm I/O 2025 - Barcelona, 27-28 March Slides: https://slides.com/hwclass/wasmio25-the-silent-sentinel-rust-powered-wasm-for-lightning-fast-bot-detection-at-the-edge/ In the ever-evolving landscape of web security, the battle against bots has traditionally relied on server-side detection mechanisms, often resulting in latency and increased server load. This presentation introduces a groundbreaking approach to bot detection that leverages the power of WebAssembly (WASM) and Rust to create a silent sentinel operating directly within the user’s browser. This innovative solution compiles complex bot detection algorithms written in Rust into a compact WASM module, which is seamlessly integrated into web applications. This “Silent Sentinel” operates autonomously at the edge, analyzing user behavior and identifying potential bot activities in real-time, without the need for client-server communication. Key aspects of this presentation include: -The architecture of our Rust-based bot detection algorithms and their compilation to WASM. -Performance benchmarks demonstrating the lightning-fast detection capabilities compared to traditional server-side methods. -Implementation strategies for integrating the WASM module into various web frameworks. Real-world case studies showcasing the effectiveness of edge-based bot detection. -Security considerations and potential future enhancements of the system. By shifting bot detection to the client-side through WASM, we not only achieve unprecedented speed but also significantly reduce server load and network latency. This approach represents a paradigm shift in web security, offering a more responsive, efficient, and scalable solution to the persistent challenge of bot detection. Join me to explore how this silent sentinel, powered by Rust and WASM, is reshaping the landscape of web security and paving the way for a new generation of edge-based defense mechanisms.