Thinking of building your own AI security tool? In this episode, our CTO Santiago Castiñeira breaks down the realities of the "Build vs. Buy" debate for AI-first vulnerability management.

While building a prototype script is easy, scaling it into a maintainable, audit-proof system is a massive undertaking that requires specialized skills often missing from security teams. Santiago explains why over-reliance on Retrieval-Augmented Generation (the "RAG drug") falls short for precise technical data like version numbers, and what architecture is actually required for a true AI-first system: complex multi-agent workflows that can reason about context and risk, not simple chatbots.

We also cover the critical importance of rigorous evals over "vibe checks" to ensure AI reliability, the hidden costs of LLM inference at scale, and why well-crafted agents might soon be indistinguishable from superintelligence.