
Secure AI-assisted coding in practice
A security-first workflow for AI-assisted development that delivers both speed and protection.
A security-first workflow for AI-assisted development that delivers both speed and protection.
Building with AI doesn't mean abandoning security—it means rethinking how you approach it.
Traditional security approaches—penetration testing, code reviews, compliance frameworks—assume human-written code and expert oversight. They're poorly suited to the scale and nature of vibe-coded applications. We need an approach as AI-native as the development process itself.
In an increasingly agentic battlefield, the traditional security paradigm of detecting a threat and then responding to it fundamentally remains a losing proposition.
Have you ever sat in a meeting feeling 'this could have been an email exchange'? Enterprise agents could revolutionize organizational coordination, especially around security collaboration.
Building on the fundamental differences between traditional application security and comprehensive product security, this post provides a practical roadmap for organizations ready to make the transition.