Application Security,
Events,
Next-Generation Technologies & Secure Development
Chenxi Wang of Rain Capital Highlights AI’s Challenges in Coding
Artificial Intelligence (AI) is revolutionizing the development landscape by drastically shortening the path from concept to execution, according to Chenxi Wang, founder and general partner at Rain Capital. However, the deployment of AI-generated code often originates from flawed or insecure examples found in publicly accessible code repositories.
Wang emphasizes that this trend poses a significant risk, potentially exacerbating the landscape of software vulnerabilities even as development processes become more efficient. He cites studies suggesting that AI is responsible for generating between 70% to 95% of new code, indicating a profound shift in software engineering practices.
This transformative era presents a dual-edged sword for cybersecurity: while it introduces new risks through rapid code generation, it also creates opportunities for enhanced threat detection and improved automation in defensive measures. The ability to swiftly analyze code vulnerabilities is critical in this environment.
During a video interview at the RSAC Conference 2025, Wang elaborated on various issues, including the impacts of budget constraints on Chief Information Security Officers (CISOs) and how the integration of AI is reshaping traditional software engineering methodologies. He also reflected on the evolving dynamic of innovation and regulation in America versus Europe.
With extensive experience in technology and cybersecurity, Wang serves on the board of directors for MDU Resources, a Fortune 500 entity, where he contributes to the audit and ESG committee. His prior roles include leading go-to-market strategies and product development at Silicon Valley startups such as Twistlock and CipherCloud. As AI continues to influence software development, understanding its implications is vital for business owners navigating this complex landscape.
