The situation. A software product in the pharmaceutical industry throwing about 10,000 errors a day. It worked when everything went exactly right, and almost never otherwise: bad input, unexpected paths, and anyone probing for weaknesses all landed in the same unguarded place. In an industry that does not forgive sloppy software, this was a product running on luck.
What I found. The product had been built for the happy path only. No real validation at the edges, no plan for failure, and nothing standing between a curious attacker and the inside. The 10,000 daily errors weren’t 10,000 separate problems; they were the same handful of root causes, echoing thousands of times a day because nothing existed to catch, resolve, or prevent them.
What we did. Two things, together. Engineering best practices where there had been none: validate everything coming in, handle every failure on purpose, and close the doors that had been left open. And a robust system for resolving errors, not just logging them: every error surfaced, traced to its root cause, fixed there, and kept fixed.
The result. Errors went from 10,000 a day to zero. The product stopped depending on everything going right, the holes stopped being holes, and the team inherited a system that tells them about problems while they’re still small.
If your product only works when everything goes right, the free diagnostic will show you what it’s costing when things don’t.
