Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Our world is more digitally connected than ever, including the critical infrastructure systems we rely on: power grids, water treatment plants, transportation networks, communication systems, emergency services, and hospitals. A successful attack on critical infrastructure can have dire consequences, ranging from widespread power outages and contaminated water supplies to economic downturns and societal disruption. Some of those consequences have come to fruition in recent years.

A head-spinning series of acquisitions and mergers is transforming the security information and event management (SIEM) market. Behind this market shakeup is the ongoing technological shift from traditional, manually intensive SIEM solutions to AI-driven security analytics. Legacy systems — characterized by manual processes for log management, investigation, and response — no longer effectively address today’s fast-evolving cyber threats.

Security Information and Event Management (SIEM) is a critical tool in modern cybersecurity, combining Security Information Management (SIM) and Security Event Management (SEM) to provide real-time monitoring, threat detection and incident response. Obrela’s SIEM solutions collect and analyse security data from various sources to provide a comprehensive view of the security landscape.

When building applications that ingest and analyze millions of data points per second, developers as a rule require good observability data on workload performance. That principle certainly holds true for us on the Cloud SIEM team, where delivering a highly reliable and responsive product to our customers is central to our day-to-day operations.

When we think about privilege access management (PAM), we typically think about it first as preventive control. PAM solutions manage who has privileged access to systems, enforce least-privilege principles and monitor and record privileged user activity. This is crucial for preventing misuse of high-level permissions and ensuring accountability.

On a Friday afternoon at 5 PM, you’re cruising along the backroads in your car, listening to your favorite music. You’re on vacation and making excellent time to your destination until you notice the long stream of red tail lights a few miles ahead. After sitting in standstill traffic for over an hour, you realize that highway construction created a detour to the two-lane backroad that you were using to skip the rush hour traffic.

The “Three Pillars” (people, process, and technology) management framework requires a delicate balance in order to achieve successful operations outcomes. Despite the technology pillar dominating the conversation as of late, cybersecurity practitioners are the backbone of your organization's defense against cyber threats.

AI-driven security analytics reduces analyst burnout Most SIEM technologies in today’s market have not kept up with the pace of innovation and place a heavy burden on security analysts to perform manual, labor-intensive tasks in order to maintain defenses. Generative AI is helping security professionals address today’s dynamic threat landscape and prepare for future threats.

Deploying a next-gen cloud-native security information and event management (SIEM) in your security operations center (SOC) is a big step in the right direction toward significantly improving your organization’s security capabilities. But once you have that state-of-the-art SIEM in your SOC, how do you get the most out of it? One key step is building and executing specific SIEM use cases designed to meet the particular needs of your organization.