The new paradigm for raising up secure software engineers

As AI coding assistants rapidly increase developer productivity (with usage expected to jump from 14% to 90% by 2028), security teams face a growing challenge: more code is being produced faster with less time for review. Traditional developer security training focused on catching common code-level flaws like SQL injection (inserting malicious database commands into input fields) is becoming less critical, since AI tools and automated scanning will increasingly handle these line-by-line vulnerabilities, so security training needs to shift toward teaching developers to validate AI-generated code in its full deployment context and understand threat modeling (analyzing how systems could be attacked at an architectural level) rather than memorizing specific coding rules.