AI in Safety-Critical Avionics: Ensuring Code Integrity and Tool Qualification

AI is rapidly reshaping software development, but in safety-critical avionics, speed cannot come at the expense of code integrity, compliance, or trust. As teams explore development with AI assistance and agentic workflows, they must understand where AI can safely accelerate engineering, and where rigorous verification, tool confidence, and qualification remain essential.

Join Perforce and Validas AG for an expert led discussion on how AI can be applied responsibly in safety-critical avionics software development. The session will examine the role of static analysis in identifying and remediating defects, the safety implications of using AI-generated or AI-assisted fixes, and how teams can establish appropriate boundaries so that AI supports—not compromises—certification-driven workflows.

You’ll also learn how tool confidence, toolchain analysis, and qualification approaches apply as AI becomes part of the development environment, and how to build a safer path toward agentic AI.

In this webinar, Steve Howard, Director of Product at Perforce Software, and Dr. Oscar Slotosch, CEO of Validas AG will discuss how avionics development teams can:

• Confidently adopt AI in safety-critical development with static analysis that helps ensure code integrity, quality, and compliance
• Evaluate the risks and boundaries of AI-assisted defect remediation in regulated avionics workflows
• Understand how tool qualification, MCP-based architectures, and agentic AI may shape the future of compliant software engineering

Register now to learn how to balance AI-driven productivity with the assurance, traceability, and qualification practices required for safety-critical avionics software.