National security company MacAulay-Brown’s (MacB) subsidiary Enlighten IT Consulting (EITC) has developed a Cyber Learning Engine (CLE) for the US Department of Defense (DoD).
The CLE is trained to detect previously unknown threats to a network without human supervision.
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The engine has been designed to meet the rising requirements for a faster and more flexible solution that would help manage both the volume and complexity of cyber data across the US defence department.
EITC has developed the tool based on a Deep Learning (DL) concept of using artificial neural networks to process information in layers.
With more data entered, the tool becomes capable of providing more accurate conclusions about bad actors in the network over time, according to the company.
EITC senior vice-president and general manager Duane Shugars said: “Within the field of Artificial Intelligence, DL models that can search through terabytes of data and reach accurate conclusions without human intervention are essential for future success.
“I’m proud that our team has worked so hard to address these critical network challenges and produce a true production-ready CLE that will help protect DoD networks.”
The new CLE has reportedly progressed from a 75% probability of correctly identifying malicious content to up to 95% accuracy, said MacB.
Also, the model has been capable of significantly identifying signs of a network breach, which is also known as indicators of compromise (IOC).
Previously, this network breach was not reported in any open or non-open source data and was later identified as a threat.
MacB focuses on delivering advanced engineering, cybersecurity and product solutions to the DoD, Intelligence Community (IC), Special Operations Forces (SOF), Department of Homeland Security (DHS), and federal agencies.
