Fidelis Cybersecurity (Fidelis), a leading provider of threat detection, threat hunting, and response solutions, announced the appointment of Dr. Abdul Rahman as chief scientist. Dr. Rahman brings over 10 years of experience in government cyber defense programs and building security infrastructures able to protect against a variety of threats.
“I am happy to announce the addition of Abdul to our management team as we have an opportunity to change the security game,” said Nick Lantuh, President and CEO, Fidelis Cybersecurity. “With his diverse Intelligence Community and DoD background coupled with deep data-science expertise, he brings the necessary skills to formulate and deploy cutting-edge research and strategies into Fidelis’ product portfolio. At Fidelis, we have the unique ability to access raw data from network traffic, endpoint activity and decoy environments. This is extremely powerful because it means that adversaries can’t hide in the raw data. We capture it, process it, and store it for both real-time and retrospective analysis, allowing us to find patient zero.”
Prior to Fidelis, Dr. Rahman worked as a contractor for the U.S. government designing, deploying, and supporting big data cyber defense platforms for large customers over the last 10 years. He has held senior leadership roles in his previous companies including vice president of technology and innovation as well as chief scientist. Dr. Rahman holds doctorate degrees in both physics and mathematics. He specializes in the development of analytical capabilities to process data for learning algorithms that enable pattern matching, correlation, and anomaly detection to support cyber network defense use-cases using a unique blend of engineering innovation coupled with mathematical techniques and data science.
“Fidelis is one of the only companies in the market that has the ability to actually help enterprises calculate their vulnerable attack surface,” said Dr. Rahman. “It’s incredible technology. I knew I wanted to be involved in its continued development and innovation. At Fidelis, we have the opportunity to apply quantitative science, statistics, and mathematics to derive smart outcomes that further improve detection efficacy for Fidelis Elevate users. We can provide predictive capabilities to SOC teams by reducing the noise and clearly identifying the signal leading to effective cyber protections, faster responses, relief from alert saturation, and useful detections. This results in slowing down attackers, and ultimately protecting customer assets and data.”
“Abdul will innovate within unique parts of the Fidelis ecosystem by blending tradecraft, engineering, and quantitative/data science to drive cutting-edge capabilities into the platform,” added Lantuh. “As the industry develops more subscription-based cybersecurity guidance, Abdul and our R&D, TRT and MDR teams will make sure that advanced detection capabilities can scale easily within our Fidelis offerings, without any impact to mission effectiveness.”