Leveraging four decades of programming experience and years of bootcamp mentoring , he lectures on secure coding in academia and the private sector, leads the OWASP-untrust project, and researches the intersection of AI and application security, with a focus on secure code generation, LLM evaluation, and secure-by-construction development.
He also wrote "Effective Secure Coding, Part I: Building Safer Features".
Yariv Tal is a senior developer, security researcher, and cofounder of Secure From Scratch, a venture dedicated to teaching developers secure coding from the very first line of code.
GenAI code generation is often evaluated as a model problem: the model failed to reason about security, misunderstood the prompt, or reproduced vulnerable examples from its training data.
Yariv Tal
Secure Coding Mentor
at
Secure From Scratch