We measure in Nanoseconds

Actually Realtime.

When detection is truly real-time, response solutions have a greater opportunity to effectively address issues. MITRE ATT&CK analysis revealed that most SIEM notifications from major vendors are delayed by an average of 20 minutes after the initial event. Even the fastest, CrowdStrike, exhibited a four-minute delay.

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Instantaneous Threat Detection and Response
Organizations require immediate detection to minimize the impact of security incidents and reduce response times.
Reduced Data Processing Costs
Companies are constantly seeking to reduce operational costs, especially in cloud environments where storage and processing costs can escalate quickly.
Scalability
As organizations grow, their data processing needs increase, and a scalable solution ensures continuous, efficient operations without bottlenecks.

Real Time is Left of Storage.

Every other security tool evaluates data when something happens, the SIEM should too. Meet the only SIEM with 100% real time processing.

Real Time Subway Map

Be On Time

Your automation means nothing if its twenty minutes late.

The latest Government sponsored testing published is that alerts from management systems are arriving commonly after twenty minutes. To stop being late, you need to stop using a database for detection and alerting. SIEMs routinely store data in databases and run queries periodically to detect unusual activity.

From Data To Alerts

But there’s a problem—this approach is reactive, not proactive. By the time a threat is detected, it is already too late. Think of it like this: imagine a security guard who checks security footage once every hour. They can only catch what happened in the past, not what’s happening right now. Now, imagine if that security guard could see everything as it happens—live, in real-time. That’s the power of streaming analytics. Instead of waiting to review stored data, streaming processes data the moment it enters the system. But there’s a problem—this approach is reactive, not proactive. By the time a threat is detected, it is already too late. Think of it like this:

  • Imagine a security guard who checks security footage once every hour. They can only catch what happened in the past, not what’s happening right now. Now, imagine if that security guard could see everything as it happens—live, in real-time. That’s the power of streaming analytics.
  • Instead of waiting to review stored data, streaming processes data the moment it enters the system. With streaming, you’re not just reacting to threats—you’re actively monitoring and identifying them as they occur. Every piece of data is analyzed the moment it arrives, giving you instant insights and allowing for immediate action.
  • For example, if someone logs in from an unusual location, streaming analytics spots this anomaly right away. There’s no waiting for a scheduled query, no delay in response—just instant detection and protection.

This speed and efficiency mean that your security system is always up-to-date, always ready to respond. It’s like having a guard who never sleeps, never pauses, and never misses a thing. That’s why Fluency uses streaming analytics. Because in cybersecurity, every second counts. Stay ahead of threats, with real-time protection from Fluency. Learn more about Fluency’s real-time detection and response capabilities.