Abstract: Techniques and architectures for representing data with one or more n-dimensional representations and/or using one or more models to identify threats associated with the one or more n-dimensional representations are described herein. For example, the techniques and architectures may determine one or more coordinates for one or more points based on one or more sets of bits in the data and generate an n-dimensional representation for the data based on the one or more points. The techniques and architectures may evaluate the n-dimensional representation with one or more machine-trained models to detect a threat associated with the data, such as malware or another threat.