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Explore the security risks inherent in AI-accelerated application development through this 50-minute conference talk that demonstrates how artificial intelligence can inadvertently introduce critical vulnerabilities into code. Learn to recognize and mitigate the dangers of AI-generated applications by witnessing real-time development using GPT-driven prompts to build a fully functional application while simultaneously uncovering common security flaws including SQL injection, cross-site scripting, and weak authentication mechanisms. Discover how these vulnerabilities manifest in AI-generated code and understand their potential impact on production systems. Master the implementation of secure coding practices, policy enforcement, and developer guardrails to prevent security issues before they reach production. Gain practical knowledge on integrating comprehensive security audits, thorough code reviews, and systematic testing into your development workflow to ensure AI-generated code meets security standards. Develop skills to assess and recognize AI-introduced risks in your codebase while learning vendor-agnostic approaches to harness AI's development acceleration benefits without compromising application security.
