One interesting takeaway here is how quickly organizations are deploying AI tools internally without fully adapting their security models.
Traditional application security assumes fairly predictable inputs and workflows, but LLM-based systems introduce entirely new attack surfaces—prompt injection, data leakage, tool misuse, etc.
It feels like many enterprises are still treating these systems as just another SaaS product rather than something closer to an autonomous system that needs a different threat model...
The interesting part is that Wiz built its success largely on being cloud-agnostic. If Google keeps it that way, it becomes a strategic window into AWS and Azure workloads.
If they don’t, they risk destroying the very advantage that made Wiz valuable in the first place.
Traditional application security assumes fairly predictable inputs and workflows, but LLM-based systems introduce entirely new attack surfaces—prompt injection, data leakage, tool misuse, etc.
It feels like many enterprises are still treating these systems as just another SaaS product rather than something closer to an autonomous system that needs a different threat model...