{"data":{"id":"2549c7f4-e8e7-4b99-8df7-6a6eb61762bc","title":"The new paradigm for raising up secure software engineers","summary":"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.","solution":"N/A -- no mitigation discussed in source.","labels":["security","policy"],"sourceUrl":"https://www.csoonline.com/article/4129134/the-new-paradigm-for-raising-up-secure-software-engineers.html","publishedAt":"2026-02-18T07:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["GitHub Copilot","AI coding assistants"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.7,"researchCategory":null,"atlasIds":null}}