11. A system, comprising: a processor; and a memory storing one or more application programs configured to perform an operation for processing streams of data of one or more networked computer systems, the operation comprising: receiving an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network, generating a neuro-linguistic model of the information security data by: clustering the ordered stream of vectors and assigning a letter to each cluster; outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters; building a dictionary of words from of the ordered output of letters; outputting an ordered stream of words based on the ordered output of letters; and generating a plurality of phrases based on the ordered output of words, evaluating a current observation of letters, words, or phrases generated from one or more subsequent normalized vectors received from the ordered stream input to the neuro-linguistic model to determine a measure of unusualness for the current observation of letters, words, or phrases, generating an alert when the measure of unusualness determined for the current observation of letters, words, or phrases exceeds a specified threshold, wherein the alert corresponds to activity occurring within the computer network which resulted in the current observation of letters, words, or phrases, transmitting the alert to a management console, and dynamically updating the neuro-linguistic model based on the one or more subsequent normalized vectors from the ordered stream input to the neuro-linguistic model.
11. A system, comprising: a processor; and a memory storing one or more application programs configured to perform an operation for processing streams of data of one or more networked computer systems, the operation comprising: receiving an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network, generating a neuro-linguistic model of the information security data by: clustering the ordered stream of vectors and assigning a letter to each cluster; outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters; building a dictionary of words from of the ordered output of letters; outputting an ordered stream of words based on the ordered output of letters; and generating a plurality of phrases based on the ordered output of words, evaluating a current observation of letters, words, or phrases generated from one or more subsequent normalized vectors received from the ordered stream input to the neuro-linguistic model to determine a measure of unusualness for the current observation of letters, words, or phrases, generating an alert when the measure of unusualness determined for the current observation of letters, words, or phrases exceeds a specified threshold, wherein the alert corresponds to activity occurring within the computer network which resulted in the current observation of letters, words, or phrases, transmitting the alert to a management console, and dynamically updating the neuro-linguistic model based on the one or more subsequent normalized vectors from the ordered stream input to the neuro-linguistic model. 13. The system of claim 11 , wherein the each value of the information security data associated the normalized vectors is normalized to a value within a range of 0 to 1, inclusive.