In today’s modern SOC, more data doesn’t always mean better outcomes. Security teams are overwhelmed by irrelevant telemetry, storage bills are out of control, and compliance regulations demand long-term retention—even for data with little threat value. Legacy SIEMs treat all logs the same, flooding analysts with noise and slowing down response times. The result? Bloated infrastructure, delayed investigations, and boardroom frustration over unproven ROI.

New Linux malware evades antivirus detection, UNC5518 deploys CORNFLAKE.V3 using ClickFix and fake CAPTCHA pages, and a PRC-Nexus campaign hijacks web traffic.

There is a critical speed-control paradox in the healthcare DevOps landscape: while DevOps best practices dramatically cut software delivery cycles, a lack of confidence in Disaster Recovery readiness, noted by Gartner, opens up room for fragile operations despite increased deployment speed. This gap demands a solution that adds reliability, such as comprehensive backup strategies, to ensure that faster development doesn’t compromise mission-critical systems ignited through DevOps platforms.

As the UK’s vital services face escalating digital threats, the role of intelligent automation in cybersecurity has become paramount. Chris Jacob, VP, Global Field Operations at ThreatQuotient, outlines why proactive, automated defences are crucial for safeguarding the critical national infrastructure that powers the nation.

Fast-moving cloud environments demand speed, but without the right access controls they invite risk. Resources such as virtual machines, containers, and services are created, modified, and terminated at a rapid pace. At the same time, workloads are becoming increasingly distributed, with data and applications spanning multiple regions, accounts, and even across different cloud service providers (CSPs).

Cyberattacks on operational technology systems increased 87% in 2024 (Dragos 2024), with endpoint access emerging as THE top attack vector for OT and industrial control systems (ICS). This means the same connections vital to maintaining your critical systems, whether a vendor connecting remotely via VPN or an employee logging into a local workstation, represent a potential entry point into your environment.

Imagine security data and analytics like a carnival’s hall of mirrors. From convex mirrors that show you a shorter, squatter version of something to the concave mirrors that show a highly magnified image, you see the same object in multiple ways. Every view gives you a different insight and provides a unique vantage point. Online Analytical Processing (OLAP) systems are different mirrors that allow security teams to create focused analytics models for different insights about your security posture.