AI Coding & Cybersecurity

As 62% of developers now rely on AI coding assistance, we face an unprecedented challenge: most trust AI output without verification, creating new attack vectors in our software supply chain. This talk examines the critical security vulnerabilities emerging from AI-generated code and the accountability gaps that arise when AI systems fail. We’ll explore how AI tools inherit flaws from their training data and operate without transparency, while discussing practical strategies for responsible AI integration in development workflows. The central question we’ll address is whether we’ll use AI responsibly to build secure software or inadvertently create new vulnerabilities that threaten our digital infrastructure.