AI in Driver Development: Use Cases, Risks, and Engineering Lessons

We invite product, cybersecurity, and engineering leaders to join Apriorit’s upcoming webinar AI in Driver Development: Use Cases, Risks, and Engineering Lessons. AI is quickly becoming part of software engineering workflows, even in low-level development. But driver development doesn't forgive mistakes, and AI isn't immune to making them. It can shine when working with system stability, kernel constraints, synchronization, memory safety, and security — or introduce critical risks, if left unsupervised. In this webinar, Apriorit experts — Victor Mylokum, Serhii Malyi, and Michael Teslia — will share our practical experience using AI in low-level and driver development projects. We'll discuss our AI experiments, the workflows we developed, and the moments where AI made the biggest difference. We’ll also explain what AI can do “out of the box,” which tasks still require manual approach, and how to avoid common mistakes when using AI-generated code in kernel-level development. Why attend? 🔸 Learn how AI can support complex driver development tasks without compromising stability and security 🔸 Explore practical AI use cases: code generation, crash dump analysis, testing, IRQL checks, and Rust wrappers 🔸 Understand AI limitations, common pitfalls, and the role of expert review in low-level engineering Webinar agenda 🔸 Apriorit’s AI transformation journey and focus on low-level development 🔸 How we built AI-assisted engineering workflows: first experiments, prompting methodology, and lessons learned 🔸 AI in driver development: parsing register tables and generating data structures 🔸 Kernel-level safety checks: IRQL control, synchronization, and manual validation 🔸 Rust code generation for drivers and safe wrapper development 🔸 AI-assisted crash dump analysis: root cause investigation and sensitive data risks 🔸 Test coverage for C and Rust drivers: workflow and complexity comparison 🔸 Business takeaways: common AI pitfalls, developer mistakes AI can catch, and comparison of Human vs. Human + AI vs. Full AI efficiency 🔸 The dark side of AI: data leaks, malicious package risks, and kernel panics Our speakers: 🔸 Victor Mylokum, Engineering Director at Apriorit 🔸 Serhii Malyi, Software Architect at Apriorit 🔸 Michael Teslia, Program Manager at Apriorit