An Intellyx Brain Candy Brief
There are two approaches to getting timely and useful security and observability insights from huge volumes of incoming telemetry data, now that AI agents and LLMs are muddying the waters with chatty traffic.
- One: Pre-transform the data in flight to reduce the load by filtering or sampling it, possibly slowing ingestion and leaving some significant gaps in visibility, or;
- Two: Just let all the data in, and then run searches atop it all in an ever-expanding data galaxy, never minding the cloud costs.
Auguria is looking for a third way to improve security searches and observability platforms, using specialized algorithms to infuse incoming logs and other event data with semantic meaning. Thus, humans and AI agents would be more likely to detect the most meaningful alerts from monitoring and searching data streams, while decreasing AI workload compute consumption and data storage costs.
The big idea here is for GenAI-based detection and human analysts to work together in the pre-alert timeline, even ahead of rules processing in data ingestion, which could be useful for other data-analysis-intensive vertical applications such as pharma and supply chain—whichever data lake or observability platform the alerts and/or labeled data are routed to afterward.
Copyright ©2025 Intellyx B.V. Intellyx is an industry analysis and advisory firm focused on enterprise digital transformation. Covering every angle of enterprise IT from mainframes to artificial intelligence, our broad focus across technologies allows business executives and IT professionals to connect the dots among disruptive trends. At the time of writing, Auguria is not an Intellyx customer. No AI was used to write this article. To be considered for a Brain Candy article or event visit, email us at pr@intellyx.com.
