Chenxi Wang, founder and general partner at Rain Capital, highlights the transformative yet potentially perilous role of artificial intelligence (AI) in the realm of software development. She notes that AI can dramatically speed up the process of code generation, allowing developers to bring ideas to fruition in a matter of minutes. However, a significant challenge arises from the fact that AI-generated code often derives from insecure or flawed examples prevalent in public repositories. This reliance on potentially compromised code can lead to the rapid spread of vulnerabilities, even as the process of software development becomes more streamlined and efficient.

The widespread adoption of AI in coding is reshaping the landscape of software engineering. According to Wang, depending on the study, AI is responsible for generating 70% to 95% of all new code today. This shift represents a double-edged sword for cybersecurity professionals. On one hand, it introduces new risks and vulnerabilities; on the other hand, it offers unprecedented opportunities for enhancing threat detection, speeding up analysis, and automating defensive tactics.

In a video interview with Information Security Media Group at the RSAC Conference 2025, Wang delves into several key issues. She discusses the repercussions of budget cuts on Chief Information Security Officers (CISOs) and examines how AI integration is fundamentally altering software engineering methodologies. Additionally, she explores the evolving dynamic of the traditional belief that “America innovates, Europe regulates,” suggesting a shift in how innovation and regulatory practices are perceived globally.

Beyond her role at Rain Capital, Wang is a seasoned technology executive with a profound understanding of cybersecurity. She serves on the board of directors for MDU Resources, a Fortune 500 company, and contributes to both the audit and ESG committees. Her experience extends to leadership roles in Silicon Valley startups such as Twistlock and CipherCloud, where she oversaw go-to-market operations and product strategy.

Wang’s insights underscore the critical need for a balanced approach to AI in software development. As the technology continues to evolve, it is essential for industry leaders and developers to remain vigilant about the security implications while leveraging AI’s capabilities to advance the field of software engineering.