Cyber Security Solutions that Transcend the Status Quo

Machine learning and data mining techniques play a key role in the future of cyber security. Their use will grow rapidly as cyber threats grow in complexity, as the demand grows for self-customizing defense, as computers gain access to more data, as more computational power becomes available, and as we develop increasingly effective machine learning algorithms.

These techniques replace the equivalent of hundreds of thousands of hours of specialist fine-grained analysis. They take advantage of the steady stream of data flowing through the system rather than simply processing it. By shifting the question from “how to program cyber security systems” to “how to allow cyber security systems to program themselves,” machine learning enables and promotes the design of self-monitoring systems that self-diagnose and self-repair.

The ability to capture massive amounts of data and make decisions about the nature of the object it represents is a very powerful tool for TTi customers.