The Data Blog |
Our engineers have recently created a script that will inject synthetic data that simulates ADAMS data into a file format that can be consumed by commercial network traffic generators. ADAMS data is simulated data for insider threat detection systems based on anomalies in massive data-sets. Data domains include Logon, Device, HTTP, Email, File, Print, LDAP, Organization Directory, Decoy files, and Psychometric files. Why all of the excitement? The current state of the art network traffic generation tools are using very simplistic content that are not designed for the system under test. Once this integration is complete, cyber security testing can be taken to a while new level where sophisticated threat patterns are interwoven into data and consumed by the network. This will enable sophisticated testing of the network's intrusion detection and measurement of true and false positive errors, so these systems can be optimized for cost and risk performance. This alone is a huge leap in the cyber security industry, and we will only continue to move forward with our advancements in the world of technology.
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