1. A method for filtering malicious content in a neural network environment comprising the steps of: receiving, from a first network, a data signal set including data for producing a sensible representation in a sensible format, wherein the first network is a computer network or neural network; filtering for malicious content in the received data signal set by the steps of: producing, from the received data signal set, the sensible representation in the sensible format; sensing the produced sensible representation format using a sensible representation format sensor; generating a clean copy data signal set from the produced sensible representation format; wherein the clean copy data signal set excludes the malicious content; storing the generated clean copy data signal set corresponding to the produced sensible representation format; and sending the generated clean copy data signal set to a second network, wherein the second network is a computer network or neural network; wherein at least one of the first network or second network is communicatively linked to a brain machine interface to receive or send the data signal sets from or to the neural network, wherein the brain in the brain machine interface is biological.