Operations | Monitoring | ITSM | DevOps | Cloud

Splunk is the backbone of security analytics for many of the world’s most advanced enterprises. Its ability to unify, correlate, and analyze massive volumes of telemetry data has made it the platform of choice for SOC teams worldwide. But as security data grows exponentially in volume and complexity, many organizations face a different challenge: getting the right data into Splunk, in the right shape, without straining infrastructure resources or missing critical signals.

The latest Pandora FMS version presents key improvements to the SIEM, module, designed to enhance security event detection and management. These new features are available starting with Feature Release 782, allowing for optimized log analysis, report generation, and rule validation in distributed IT environments.

With version 106 of Pandora ITSM, a critical feature has been introduced for technology environments operating under security frameworks, regulatory compliance, and efficient management: Change Management. This new module allows changes to be registered, approved, implemented, and closed in a structured way, with full traceability and responsibility control.

Discover how Accenture and Elastic are helping businesses seize the opportunities offered by generative AI When it comes to generative AI, enterprises need to think big. Shaving a few seconds off the time needed to draft an email is helpful, but the journey to real value begins when you apply AI at the enterprise level. A new partnership between Accenture and Elastic combines technical expertise and strategic excellence, enabling businesses to build the data foundations for a successful AI future.

Let’s face it: the modern enterprise network is a leviathan. No longer just a collection of routers and switches, today’s networks span multiple clouds, hundreds of SaaS applications, and countless IoT devices—supporting a workforce that could be anywhere.

AutoCon3 in Prague offered important takeaways on network automation’s evolution, from hands-on learning and design principles to the impact of AI and the power of community. Read Justin Ryburn’s recap to learn about key insights from the event, showing why network automation is now a core competency you’ll want to understand.

Twelve months ago, we shipped Edwin AI with a specific hypothesis that AI agents could handle the operational drudgery slowing down ITOps teams. It was a deliberate bet against the cautious consensus that AI should act only as a copilot, limited to offering suggestions. Most AIOps tools still follow that script. They’re stuck surfacing insights and stop short of action. Edwin was built differently. It was designed to make decisions, correlate events, and execute fixes.