1. A computer implemented method comprising: receiving, at a computer, maritime vessel automatic identification system (AIS) data from a vessel; determining that the maritime vessel AIS data includes anomalous data; estimating a first likelihood of malicious vessel intent based on a comparison of the anomalous data to first data; estimating a second likelihood that the anomalous data is associated with a typographical error by comparing an anomalous identifying parameter of the anomalous data to an expected identifying parameter to generate a matching percentage, and wherein the anomalous data corresponds to the typographical error responsive to the matching percentage failing to satisfy a threshold percentage of matching between the anomalous identifying parameter and the expected identifying parameter; and in response to the first likelihood of malicious vessel intent satisfying a threshold and in response to the second likelihood indicating that the anomalous data does not correspond to the typographical error, generating an alert that includes an indication of an inferred intent of the vessel.