IBM has retooled its QRadar security information and event management (SIEM) system to help organizations scale their hybrid cloud and artificial intelligence (AI) workloads.IBM also announced plans to deliver generative AI capabilities within its threat detection and response portfolio. As such, IBM will leverage "watsonx," the company's enterprise-ready data and AI platform, for efficient data ingestion, rapid search and analytics at scale.QRadar SIEM monitors and correlates threat intel, network and user behavior anomalies to prioritize high-fidelity alerts. IBM said it is developing predictive generative AI security capabilities which will be trained to create active responses that optimize over time. For instance, AI will help security teams find similar incidents, update affected systems and patch vulnerable code.By using common, shared language for detection rules (SIGMA), QRadar SIEM allows clients to quickly import new, crowdsourced detections directly from the security community as threats evolve. the ability to investigate across data sources, the solutions offers unique federated search and threat hunting capabilities built on open-source technologies Building on the QRadar ecosystem, IBM offers one of the largest partner networks in the industry with more than 700 pre-built integrations. IBM will continue supporting its current QRadar SIEM offering, while also offering customers a transition option to the new cloud-native SIEM.