Secure your AI-generated projects with these security practices - LogRocket Blog
Secure AI-assisted development requires proactive prompts, automated CI/CD guardrails, and focused human audits to prevent context-dependent vulnerabilities.
AI code assistants improve production of security problems
AI coding assistants boost developer output but cause many more security issues; organizations must pair AI coding with AI AppSec to avoid scaling risk.