Research from the Enterprise Strategy Group (ESG) reveals that IT professionals struggle to identify the most valuable data available to them, so priority investments include the centralisation of data with increased security controls, as well as comprehensive analytics to identify complex attacks. As a solution, organisations are investing in SIEM infrastructure but admit they find it difficult to manage it effectively.
In this technical product review of IBM Security QRadar SIEM, ESG makes several observations, including QRadar's ability to prioritise events, lower costs, integrate with both IBM and 3rd party solutions, and more.
Download the full report for more details and how to overcome the most challenging attributes of SIEM for your business.
Provided by
-
Bigger salaries, more burnout: Is the CISO role in crisis?In-depth CISOs are more stressed than ever before – but why is this and what can be done?
-
Cheap cyber crime kits can be bought on the dark web for less than $25News Research from NordVPN shows phishing kits are now widely available on the dark web and via messaging apps like Telegram, and are often selling for less than $25.
-
Empowering enterprises with AI: Entering the era of choicewhitepaper How High Performance Computing (HPC) is making great ideas greater, bringing out their boundless potential, and driving innovation forward
-
Datto RMM: A security-first solutionWhitepaper Discover a robust, yet easy-to-manage security ecosystem for MSPs
-
The CEO's guide to generative AI: Be a creator, not a consumerWhitepaper Innovate your business model with modern IT architecture, and the principles of trustworthy AI
-
The CEO's guide to generative AI: When it comes to cyber security, fight fire with fireWhitepaper Fortify your business defenses with generative AI
-
Learning and operating Prestowhitepaper Meet your team’s warehouse and lakehouse infrastructure needs
-
Scale AI workloads: An open data lakehouse approachwhitepaper Combine the advantages of data warehouses and data lakes within a new managed cloud service
-
Managing data for AI and analytics at scale with an Open Data Lakehouse approachwhitepaper Discover a fit-for-purpose data store to scale AI workloads
-
The power of AI & automation: Productivity and agilitywhitepaper To perform at its peak, automation requires incessant data from across the organization and partner ecosystem
