Rapid7 Puts Agentic AI to Work in the SOC, Empowering Analysts to Investigate Smarter and Faster

Core Insights - Rapid7 has integrated agentic AI workflows into its next-gen SIEM and XDR platform to enhance managed detection and response (MDR) capabilities, allowing SOC analysts to focus on higher-impact activities [1][2] - The new AI workflows improve alert triage accuracy to 99.93%, saving over 200 SOC hours per week, addressing the need for scalability and speed in the evolving threat landscape [2][3] Group 1: AI Integration and Impact - Agentic AI autonomously performs foundational investigative tasks, enabling faster and more efficient threat analysis, which shortens investigation cycles and enhances problem-solving capabilities [1][4] - The workflows are designed based on playbooks from Rapid7's SOC experts, ensuring that the AI is trained on real-world applications to deliver actionable insights [3][4] Group 2: Strategic Decision-Making - The implementation of agentic AI workflows is aimed at optimizing human decision-making by providing relevant information and context, which allows organizations to respond swiftly to AI-enabled threats [4][6] - Successful AI deployment in cybersecurity requires a thoughtful approach, including data classification and disciplined workflows, which Rapid7 has incorporated into its AI processes [4][6] Group 3: Company Overview and Mission - Rapid7 is committed to creating a safer digital world by simplifying cybersecurity and making it more accessible, serving over 11,000 global customers [6][7] - The company focuses on uniting cloud risk management with threat detection to enhance security postures against sophisticated AI attackers [6][7]