Microsoft’s Upcoming OneDrive Update May Affect Cloud Storage Costs

Cloud Security

IBM | November 08, 2023

The cloud-native SIEM enhances scalability, speed, and flexibility while leveraging AI for improved alert prioritization and response. Cloud-native QRadar SIEM is built on an open foundation, supporting interoperability with multi-vendor tools and cloud platforms. IBM plans to introduce generative AI capabilities in early 2024. IBM introduced a significant transformation to its flagship IBM QRadar SIEM (Security Information and Event Management) product. The new QRadar SIEM is redesigned on a cloud-native architecture tailored for hybrid cloud environments, with a strong focus on scale, speed, and flexibility. This update aims to empower security teams by enabling AI and security analysts to work together efficiently. In fact, SOC professionals get to less than half (49%) of the alerts that they're supposed to review within a typical workday, according to a recent global survey. [Source- Cision PR Newswire] The cloud-native QRadar SIEM builds upon the strong foundation of its predecessor, offering efficient data ingestion, rapid search capabilities, and analytics at scale. It is based on an open foundation and is part of the QRadar Suite, IBM's integrated threat detection and response software portfolio. As hybrid cloud environments expand and evolve rapidly, the security challenges become increasingly complex. The growing attack surface makes it difficult for security professionals to identify true threats amid the noise, leading to delayed threat responses. The new cloud-native QRadar SIEM addresses these challenges by leveraging AI to manage repetitive tasks and streamline the detection and response process for high-priority security incidents. Built on Red Hat OpenShift, QRadar SIEM is designed to be open at its core, allowing for deep interoperability with multi-vendor tools and cloud platforms. It supports common detection rules (SIGMA) to quickly integrate crowdsourced threat detections from the security community. Additionally, it offers federated search and threat-hunting capabilities across various data sources, enhancing threat investigation across cloud and on-premises environments. IBM's cloud-native SIEM includes AI capabilities that automatically prioritize alerts, reduce noise, and provide context for high-priority alerts. It streamlines threat investigations by running federated searches, creating visual attack timelines, and suggesting recommended actions. It plans to introduce generative AI (GAI) capabilities for QRadar Suite in early 2024. These AI capabilities will automate tasks like report creation, threat detection, log data interpretation, and threat intelligence curation. GAI is expected to enhance the productivity of security analysts, allowing them to focus on higher-value tasks. The investment in cloud-native SIEM and AI integration reflects its commitment to delivering next-generation security operations technology. These advancements are designed to simplify security operations, reduce complexity, and provide security teams with the tools to effectively address today's complex threat landscape. The new cloud-native QRadar SIEM will be available as SaaS in Q4 2023. IBM is actively working on its AI and data platform, watsonx, to enable generative AI to support security teams in automating routine tasks, accelerating threat response, and simplifying threat investigations. This represents a significant step toward more efficient and effective security operations.

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