With the recent Equifax breach coming back into the limelight due to the cancellation of the $125 check the FTC promised to those impacted by the breach, we want to take a look at possible prevention for the breach in the first place, or at least ways that the damage could have been minimized.
Earlier this month, the heart of Manhattan was struck with a major power outage estimated to have impacted up to 72,000 Con Edison customers. While dangerous and definitely hard to look on the bright side of things, there are reports that do bring good news concerning the power outage. NBC reports that terrorism and cyber-attacks were ruled out following an investigation ordered by Mayor Bill De Blasio. So what could have caused this major blackout?
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.
High interest helping to implement Cyber Behavioral Tools was expressed by many potential clients, including the Cyber Innovation Manager from one of the world's largest banks, a Divisional Chief Information Security Officer for one of the biggest US Federal Systems Integrator's and one of the largest Cyber Independent Testing Laboratories. During the demonstrations large amounts of internally consistent data was generated for all desired behaviors. Data was generated over any time-frame to output: