Rapid7 has integrated generative AI capabilities into its Rapid7 AI Engine, which powers the company’s Managed Detection and Response (MDR) services. This innovation is set to revolutionize Rapid7’s security operations by improving the speed and accuracy of threat detection and response. The Rapid7 AI Engine, a core component of the Insight Platform, supports global security operations center (SOC) teams throughout the cyberattack lifecycle. It employs a blend of traditional machine learning and generative AI models to distinguish between malicious and benign alerts, thereby reducing false positives and allowing analysts to concentrate on significant security signals.
Laura Ellis, VP of Data and AI at Rapid7, emphasized the company’s leadership in AI technologies, highlighting their patented models and ongoing innovation. The AI Engine provides SOC experts with instant, actionable information, resulting in quicker, more effective resolution of security incidents. Jeremiah Dewey, SVP of Managed Services, noted the significance of the AI Engine’s SOC assistant in enhancing the efficiency and speed of threat response. Rapid7’s AI models undergo rigorous internal testing, creating a feedback loop between analysts and the AI team to ensure accuracy. With an extensive range of event data sources, the AI Engine is designed to handle modern environments and attack surfaces, capturing over 4.8 trillion security events weekly. This generative AI integration aims to enhance Rapid7’s Managed Threat Complete service, unifying cloud risk management with threat detection and response for improved security solutions.
