The problem in a security operations center is no longer too little information. It is too much, scattered across too many tools that were never built to work together. Endpoints, networks, cloud services, and identity systems each produce their own stream of alerts.
Somewhere in that flood is the handful that matters. For years, the answer was to buy another box.
Each one added coverage and another console, another login, another queue, and another handoff between analysts. Worse, each tool built its own version of the truth, its own picture of the same attack, so analysts spent their time reconciling consoles instead of catching intruders. The stack grew. The picture did not.
The single pane of glass that never arrived
Vendors promised unified visibility for more than a decade and mostly delivered another dashboard. The deeper problem is that one attack sets off separate, uncoordinated alerts across endpoint, network, and cloud.
The analyst then pivots between consoles, each with its own data format, to rebuild a single timeline by hand. The data is already there. What is missing is correlation, shared context, and a common format to connect them.
How the stack got here
The SOC stack arrived one layer at a time. Antivirus watched files. Endpoint detection watches behavior. XDR tried to connect those signals, so endpoint, network, and cloud activity could be investigated together instead of separately.
Underneath it all, the SIEM, the system meant to gather every log in one place, tried to turn the pile into something usable. Each layer added coverage and added complexity, and this year's winners sit at different points along that line.
What this year's winners are building
Some attacks surface first on a device, others in network traffic or the cloud, and the strongest point tools each own one of those layers. Malwarebytes works at the endpoint, stopping intrusions on the device before they spread.
Corelight works on the network, where traffic still exposes lateral movement and command-and-control that an endpoint would miss. Both matter because an attack rarely stays in one layer. The trouble starts when those signals arrive as separate stories, and someone has to stitch them together by hand.
Collecting the alerts is the easy part. Deciding which ones matter is not. Cynet pulls the layers together with an AI agent that triages across endpoint, network, and cloud, so analysts get conclusions instead of another queue.
Intezer aims narrower, automating routine investigations end-to-end so the only alerts that reach a person are the ones it cannot close on its own. Anomali builds threat intelligence into its platform, so an alert is judged against known attacker behavior rather than treated as an isolated event.
Wazuh comes at the same problem from another side, giving teams SIEM and XDR coverage as open source, without forcing them into a heavy commercial suite.
The platforms built to end the sprawl point the clearest way out of it. BarracudaONE won best integrated security platform for bringing Barracuda's own defenses under one roof instead of running them as separate products.
Cyderes Meridian took Cybersecurity Product of the Year for connecting a security program's identities, assets, access, and alerts into one real-time view, organized around the entities involved rather than scattered across separate tools.
Consolidation is easy to fake
A dashboard that stacks the same alerts behind one login has changed the view, not the work. The test is whether a platform cuts the decisions an analyst has to make, not whether it fits more on one screen. It is also why earlier XDR and SIEM efforts disappointed.
Integrating tools is not the same as integrating their data, and a shared pane over separate data models still leaves the analyst to do the joining. That is why the plumbing matters. Emerging schemas like the Open Cybersecurity Schema Framework push different tools toward a common telemetry format, so correlation depends less on custom parsing and analyst glue work.
Entity-based correlation then groups alerts around the user or host involved, instead of leaving five isolated alerts to a tired analyst.
What to do now
- Audit the console footprint. Map every interface that analysts log into in a typical week, find where detection coverage overlaps, and make a plan to retire the redundant tools.
- Normalize at ingestion. Push telemetry from endpoint, network, cloud, and identity into one common schema before it reaches your analytics, so the data can be correlated rather than reconciled by hand.
- Group by entity, not by alert. Correlate around the affected user or host, so related alerts collapse into one incident instead of scattering.
- Automate the first pass. When an alert fires, pull the asset, process, and threat-intelligence context an analyst would otherwise gather by hand, before a human sees it. Reserve people for the calls that need judgment.
- Measure speed and context, not tool count. Track time to investigate, time to respond, and how many alerts close themselves. Those say more about SOC health than how many products you own.
Look at the winners as a group. Most are point tools, each excellent at one layer. That is useful, and it is also the SOC's problem in miniature: good tools that do not talk to each other, with too much stitching left to the analyst.
The two platforms are the exception, because they point to the harder fix. Not another console, but a stack that finally behaves like one system.
Part of The Stars Briefing, our editorial series on the trends behind the 2026 Cybersecurity Stars Awards, a program The Hacker News runs. This piece analyzes where the field is moving and uses the winners as examples. It is not a product review. The complete list of 2026 winners is live at awards.thehackernews.com/winners/2026.