IBM has introduced a new generative AI cybersecurity assistant to enhance its managed Threat Detection and Response Services. The assistant is designed to accelerate threat identification and response for IBM Consulting analysts. The new capabilities reduce alert investigation times by 48% for one client.
The assistant offers historical correlation analysis and an advanced conversational engine to streamline security operations. Mark Hughes, Global Managing Partner of Cybersecurity Services at IBM Consulting, said, “By enhancing our Threat Detection and Response services with generative AI, we can reduce manual investigations and operational tasks, empowering analysts to respond more proactively and precisely to critical threats, helping improve the overall security posture for clients.”
The Cybersecurity Assistant speeds up complex threat investigations by cross-correlating alerts and enhancing insights from various security tools.
Enhancing threat detection with AI
It provides a timeline view of attack sequences and auto-recommends actions based on historical patterns and pre-set confidence levels. The assistant also includes a generative AI conversational engine that provides real-time insights and support on operational tasks to both clients and IBM security analysts. It can automatically trigger relevant actions, reducing noise and boosting SOC efficiency for clients.
Craig Robinson, a Research Vice President for IDC’s Security Services Research Practice, said, “With IBM’s advancements to its managed security services, businesses can gain a new level of insight into critical threats and benefit from technology that continuously learns from actions taken within their specific environment. This helps drive a cycle of increasingly accurate and rapid threat investigations, which is especially crucial today as businesses face a shortage of security resources and a surplus of security risks and vulnerabilities.”
The new IBM Consulting Cybersecurity Assistant utilizes IBM’s broader generative AI capabilities, built on the company’s Granite foundation models, refined for production within IBM watsonx.ai, and tapping into IBM watsonx Assistant for the conversational chat interface.
