Pc86 pointed that we actually know the rate for false negatives, if we assume that 90% success means that the system did not detect 10% of real frauds. So he was asking if he misunderstood the meaning of "90% success".
edit: typo
Since the false negative question was answered, why are you focusing on it? The false positive question is far more interesting as it will impact individuals, rather than the buyers of the service who will work to understand the false negatives and the risk implications.
To me, the false positives will be the same as someone having their identity stolen and not being able to get credit. This has wide reaching implications for those individuals. Its likely not an issue for them as a company, but I hope they are thinking about the implications so they are not harming individuals.
[added] I assume everyone knows what false positives, false negatives are, the point of my original comment was to redefine the thread since the false negative problem is addressed in the TC article.