Sentinel Customer Forum: How to Protect Edge AI - 4 de junio de 2026 - TecnoWebinars.com

You already rely on Sentinel HL keys to protect your software. However, if your product roadmap now includes AI models, inference engines, or machine learning components embedded in the products you ship, the protection problem changes. Models can be extracted, reused, and executed outside your control. This session is designed for Sentinel HL key customers who need to extend protection to AI models deployed at the edge. It focuses on what changes when the IP is a trained model, where exposure occurs after deployment, and how to leverage Sentinel to maintain control in on-prem and edge environments. Leave with a clear understanding of how to secure AI models using what you already have, where your current gaps are, and how to close them. What You Will Learn 1. How to protect AI models with Sentinel Extend your existing HL key infrastructure to protect AI models from theft and piracy. 2. Strategy for your post-deployment AI model security Use a repeatable framework to identify risks such as extraction, reuse, and unauthorized execution and determine the controls needed for prevention. 3. A clear licensing approach to commercialize Edge AI Control where models run, how they’re used, and enable new revenue models at the edge.