There are many different companies in the security analytics space, each attempting to sift through data in an attempt to help detect potential threats. One such vendor is RiskSense, which is a spin-off from the New Mexico Institute of Mining and Technology and has technology that is already in use by the U.S Department of Defense.
In a video interview with eWEEK, Srinivas Mukkamala, CEO and Co-Founder of RiskSense explains what his company is all about and how it is aiming to be different than the other vendors in the increasingly crowded space for security analytics.
Mukkamala said that at the foundation of RiskSense is scalable machine-learning technology that understands threat vectors as well as risk. He noted that his company isn’t about being a reactive approach to detecting attacks that have already occurred, but rather attempts to help predict the potential risk.
From a technology perspective, RiskSense makes use of some of the common elements that are widely integrated as part of a Big Data analytics stack, including ElasticSearch and Apache Spark. Mukkamala explained that RiskSense also uses Apache Kafka, which is an open-source distributed streaming data platform. Kafka help RiskSense with the challenge of ingesting massive volumes of data.
“Threat is just one vector for us,” Mukkamala said. “We position RiskSense as a company that is transforming risk management.”
When considering security risks, Mukkamala said that organizations can accept that risks are present and get cyber-insurance, or organizations can actually try and remediate threats. He said that first organizations need to properly understand what risks exist, then they need to understand what potential points of infiltration are present that could enable an attacker to exploit those risks.
“We look at threats and vulnerabilities in a complete, connected way and that piece will differentiate us quite a bit,” Mukkamala said.
Watch the full video interview with Srinivas Mukkamala below:
Sean Michael Kerner is a senior editor at eWEEK and InternetNews.com. Follow him on Twitter @TechJournalist