As industries increasingly adopt the advantages of Artificial Intelligence (AI), the secure management of AI-powered embedded systems at the edge has become a growing challenge. Ensuring secure, robust, and reliable updates for Machine Learning (ML) is critical across various sectors, whether in industrial IoT (IIoT) applications, software-defined vehicles, or advanced robotics. Protecting sensitive data from unauthorized access, tampering, and cyberattacks, while maintaining uninterrupted system operations, is essential for upholding trust, compliance, and overall system reliability.
The Webinar April 8
The upcoming webinar, Secure Edge AI Updates: Protected ML Model Deployment in Practice, will dive deep into the challenges of secure application updates for AI-powered embedded systems. It explores the key security risks in deploying AI applications, specifically ML models on embedded (edge) devices, and highlights best practices for implementing a secure MLOps update process. Discover key security measures for AI edge systems. Experience secure ML deployment in action with a live demo of aicas’ and Swissbit’s AI update solution, demonstrating how to minimize systems’ downtime and to protect sensitive data.
Why Attend?
- Minimize Downtime & Protect Data – Hear about the benefits of seamless, secure ML model updates while safeguarding sensitive information.
- Mitigate Security Risks – Learn how to protect AI edge systems from unauthorized access, tampering, and cyberattacks.
- Industry-Specific Insights – Gain tailored insights for technical leaders and experts in IIoT, industrial automation, mobility, and automotive sectors managing AI systems on edge devices or vehicles that require secure remote updates.
- Live Demo & Expert Guidance – Experience the AI update solution in action and engage directly with technical experts from aicas and Swissbit.
Who Should Attend?
This session is ideal for technical leaders, technical experts, security professionals, and system architects involved in designing, deploying, and managing AI applications on edge devices. Whether you're working in automotive, industrial automation, or mobility, this webinar will provide you with the tools and knowledge to make sure your ML model updates are secure, efficient, and robust.
Why You Can’t Miss This:
Cybersecurity in AI is no longer just a luxury — it’s a necessity. As embedded AI applications become more widespread, the potential damage caused by insecure updates and breaches grows exponentially. By attending this webinar, you will walk away with actionable insights and solutions that can make all the difference in securing your edge AI systems.
Secure your free spot!
Webinar Tuesday, April 8
Secure Edge AI Updates – Protected ML Model Deployment in Practice
3:00 – 4:00 PM (GMT)
(5:00 PM CEST / 8:00 AM PDT / 9:00 AM MDT / 10:00 AM CDT)
REGISTER HERE: https://www.aicas.com/wp/event/webinar-secure-edge-ai-updates
This webinar is free of charge for all participants!
We look forward to seeing you there!
