Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There's a version of the LLM safety conversation that stays comfortably abstract - AI alignment, existential risk, theoretical failure modes that matter at a scale most organizations will never reach. That conversation is important, but it's not the one most product and technology leaders need to be having right now. The one they need to be having is more immediate and considerably more practical: how the specific decisions made during llm training services directly shape whether the model you deploy is one your organization can actually stand behind.

For years, interception proxies have largely followed the same formula. Capture traffic, display requests, allow replay and modification, and store everything inside an internal project format. It is a workflow that has served penetration testers and bug hunters well, but it also creates an unexpected limitation: the data you generate during an assessment often becomes surprisingly difficult to use outside the proxy itself.