ReliaQuest has introduced
GreyMatter Transit, a new capability inside its
GreyMatter platform that changes how security teams approach detection. Instead of waiting for data to land in a SIEM or storage system before it can be analyzed, GreyMatter Transit inspects data as it moves, giving teams the ability to spot and respond to threats in real time.
Defining In-Transit Detection
Security teams are dealing with rising data volumes, higher storage costs, and faster-moving adversaries. Traditional approaches rely heavily on centralized storage and indexing, which can take hours before a threat is visible. In contrast, attackers armed with AI and automation can move laterally across environments in minutes. That lag leaves defenders at a disadvantage.
A ReliaQuest spokesperson told MSSP Alert that the distinction lies in how and when detection occurs.
"In-transit detection means identifying threats as data moves, before data is stored in a storage tool like a SIEM or data lake. Unlike streaming analytics, which typically analyze data post-ingest or at rest, GreyMatter Transit inspects telemetry as it flows from the source to destination.”
This approach shifts detection left in the data lifecycle, making it possible to act on threats before they can take root.
Built for Fast Integration
Transit is natively built into the GreyMatter platform and designed to work with existing security tools and workflows. It operates autonomously, providing detection at the speed of data while still allowing teams to manage their architecture and data flows in a way that balances visibility with cost.
According to the spokesperson, ease of deployment is central to the design.
“GreyMatter Transit is designed for rapid integration, with minimal configuration, and compatible with most enterprise data sources and destinations. Transit can operate alongside existing workflows, SIEM architectures, and native API connections to avoid redundant data movement or alerting.”
This makes the technology attractive for complex environments where security operations can’t afford disruptions or duplicated effort.
Addressing Cost Pressures
For MSSPs and enterprises alike, the cost of storing and analyzing massive amounts of data has become a limiting factor. GreyMatter Transit reduces the reliance on sending all data into a SIEM for indexing, which lowers both ingest and storage expenses.
“Detecting threats in-transit means security teams no longer need to push every byte of data into the SIEM,” the spokesperson said. “This reduces ingest and storage costs. GreyMatter Transit intelligently filters out non-security data, giving teams more flexibility in their architecture. Irrelevant data can be dropped or routed to more cost-effective storage, without sacrificing visibility.”
By separating high-value security signals from the noise, security providers can cut costs without losing the fidelity needed to stay ahead of attackers.
MSSPs Benefit
In a competitive MSSP market, faster detection and demonstrable ROI are critical. ReliaQuest positions GreyMatter Transit as a way for providers to differentiate their services with measurable performance gains.
“GreyMatter Transit enables ReliaQuest to detect and contain threats in under five minutes by detecting malicious activity as data moves, not after the fact,” the spokesperson noted. “With integrated reporting, GreyMatter can demonstrate detection speed, reduced data volume, and tangible cost savings—making it simple to prove ROI.”
By combining in-transit detection with built-in reporting, MSSPs can validate their value to customers not only in terms of security outcomes but also in operational efficiency.
ReliaQuest is framing this release as part of a larger re-architecture of cybersecurity, where speed and modularity are becoming critical. The company has already positioned GreyMatter as an agentic AI–driven platform that can collapse investigation, response, and detection into minutes. Transit extends that vision to the data pipeline itself, ensuring that threats are surfaced and contained before they can spread.
