We have a technology that share most of the same problems but which has the opposite bias with low false positive rates: bio metric security. 1) biometric dete

We have a technology that share most of the same problems but which has the opposite bias with low false positive rates: bio metric security. 1) biometric detection is limited and fuzzy - with best current approaches. Even matching human performance at this classification task is not enough. 2) biometric detection is supposed to take some natural variation into account. 3) lighting, temperature, dust and other environmental factors. No biometric security is perfect and yet it is in common use everywhere, including passports. Such design could have any rate of false positive and negatives but since the impact of false negatives is less than false positive the configuration is usually such that false positives are reduce down as much as possible, at the cost of false negatives. Can you say that the same is done with media filtering? same goes to candiodari. Do not biometric security have security testing done by adversaries, which they can retry, changing something, until it successfully break?