ReliaQuest Launches GreyMatter SIEM-Less, Giving Security Teams Detection Speed and Data Optionality to Outpace Modern Threats
The new capability normalizes data, runs detections in motion, gives teams full control over where data lives, and enables queries from anywhere—without the cost and rigidity of a traditional SIEM
ReliaQuest, the global leader in Agentic AI cybersecurity, announced GreyMatter SIEM-Less, a new solution built for what enterprise security teams need now: faster detection and the flexibility to store their data in a more cost-effective tool they own, query it from anywhere in seconds and create reports as needed—without the cost and rigidity of a traditional SIEM. ReliaQuest will showcase GreyMatter SIEM-Less at Black Hat USA 2026.
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As AI enables adversaries to move faster and with data living in more places than ever, security teams are rethinking how they operate—how data moves, where it lives, how detections run, and how quickly they can take action. They need an architecture that delivers speed of detection before data is stored, full flexibility over their telemetry, and the ability to query from a single place regardless of the underlying infrastructure. GreyMatter SIEM-Less was built to meet that need.
GreyMatter serves as the Agentic Defense for the enterprise, enabling defenders to detect threats, investigate, hunt, and respond across their entire tech stack. GreyMatter SIEM-Less builds on those capabilities by modernizing how security telemetry is handled end-to-end. This approach enables detections to run in seconds while preserving the outcomes security teams rely on—search, investigations, reporting, and response—with greater flexibility and lower cost.
“We are in the middle of the great re-architecture of cybersecurity,” said Brian Murphy, founder and CEO of ReliaQuest. “The most advanced security teams are rethinking how they store data, how they detect threats, and how quickly they can take action to stay ahead of agentic attacks. GreyMatter SIEM-Less provides the optionality and modularity they need to build the fastest, most accurate and cost-efficient architecture possible.”
As the security market undergoes this major shift, teams are looking for more flexible ways to manage telemetry at scale. SIEMs have long sat at the center of security operations, but that approach requires data to be sent, indexed, parsed, and stored before any detection can run, causing latency. As data has grown more distributed, centralizing everything in a single platform has become increasingly difficult to justify on cost or speed. Security teams need to detect threats at the source or in transit, route and drop data they don’t need, and retain the functionality they rely on, such as saved searches, reporting, investigations, and long-term storage, without the cost that has often come with it.
Security teams can interface with stored telemetry directly from GreyMatter using natural language, such as run searches, save searches, build reports, and conduct investigations and hunts, while preserving response actions from the same console (e.g., block an IP, ban a hash, and execute containment). The result is a more comprehensive defense model that unifies data movement, detection, investigation, and response without speed and cost tradeoffs.
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