The firewall stands as the first line of defense, a stalwart guardian protecting your network’s perimeter from external threats. It meticulously examines north-south traffic, diligently blocking malicious intrusions and unauthorized access attempts from the outside world. But what happens once a threat breaches those outer walls? What about the dangers lurking within, moving laterally or […]

We all know the value of NetFlow data. It’s the lifeblood of modern network observability, providing deep insights into traffic patterns, application usage, and potential security threats. But what if the very data you rely on to make informed decisions is quietly costing you a fortune? Many organizations collect NetFlow data without a strategy to

For years, network monitoring has largely been a reactive game. We set up alerts, watch dashboards, and respond when something breaks. While this approach provides a basic level of visibility, it’s akin to constantly mopping the floor while the tap is still running. What if you could anticipate those leaks before they cause a flood?

In the relentless battle against cyber threats, organizations are increasingly turning to Artificial Intelligence (AI) to gain an edge. Yet, many struggle to truly harness AI’s power, particularly when it comes to network security. The culprit? Often, it’s the sheer volume and raw nature of the data itself. One of the richest sources of network