Rapid7 begins using AI to classify cybersecurity alerts
New England Council member, Rapid7, has shared that it has started utilizing generative AI in its software to improve its alert system for cybersecurity risks. Currently, the company assesses 4.8 trillion security events every week. According to Laura Ellis, Rapid 7’s vice president of data and AI, the use of generative AI helps to provide aid and respond to security risks faster, along with boosting signals of malicious alerts.
The AI engine being used is a collection of a variety of specialized AI models. Ellis has stated that using different types of models increases safety potential. The AI is not being relied on to generate solutions to security issues but is instead being primarily used to classify alerts and define “what is and is not malicious.” This is a significant help to the company, as one of Rapid7’s largest challenges is handling the variance of their alerts.
“For years, we’ve pioneered the application of AI technologies, establishing patented models and incorporating them into our technologies to better and more efficiently solve customer challenges,” said Ellis. “We remain at the forefront with generative AI, enhancing our world-class MDR services, ensuring that we continue to deliver unparalleled results for our customers.”
The New England Council would like to commend Rapid7 for its innovative use of AI to improve cybersecurity.
Read more in the Boston Business Journal.