GreyMatter: Agentic Defense for Healthcare
Autonomous detection, investigation, and containment across clinical and enterprise infrastructure. No disruption to patient care.
From telemetry event to validated detection via GreyMatter Transit.
To contain via Automated Response Playbooks on high-fidelity alerts.
Mean time to investigate across clinical and enterprise infrastructure.
The Architecture Problem
Healthcare remained a top-three-targeted sector through Q4 2025, with ransomware groups Qilin and Rhysida running sustained campaigns against clinical environments. Healthcare also faces the highest average breach costs at $7.52M in 2025.
Even with a mature security operation, we consistently see four gaps in healthcare environments:
Where healthcare security operations break down today:
Infusion pumps, imaging systems, and connected diagnostics can't ship logs to a SIEM, and traditional architectures that depend on ingest leave them permanently unmonitored.
Third-party staffing firms, traveling clinicians, and contracted specialists create sprawling credential surfaces. Nearly half of healthcare external monitoring alerts stem from credential exposure—including credentials sold by initial access brokers before active campaigns begin.
Merged health systems inherit network segments, vendor appliances, and unpatched building-management systems that no asset inventory tracks across hybrid clinical infrastructure.
Multiple tools, multiple query languages, forty minutes per investigation—while adversaries with stolen clinician credentials need six minutes to exfiltrate patient data.
The speed differential demands autonomous defense. When breakout time is measured in minutes, detection-to-containment must operate at machine speed.
The Healthcare Threat Landscape Report: January 1 to March 31, 2026
Understand your threat landscape. Get key recommendations, learn the top cyber threats in your industry, and notable developments to watch out for.
How GreyMatter Defends Healthcare Environments
In most healthcare environments, a large proportion of connected devices can't run an agent or ship a log—leaving entire network segments permanently dark to the SOC. Threat actors like Sinobi and Qilin know this and exploit clinical environments accordingly.
GreyMatter Transit runs single- and multi-event correlation logic on data in transit, before it's parsed, indexed, or stored. For unmanaged infusion pumps and imaging endpoints that can't run agents, Transit provides detection coverage independent of device manageability, SIEM capacity, or log source configuration.
Post-detection, data can be sent to storage, filtered, or dropped. When Transit fires a detection, findings feed directly into the GreyMatter Agentic Teammates for autonomous investigation and response.
Nearly half of healthcare external monitoring alerts stem from credential exposure—the majority from third-party firms and contractors who have the same environmental access as internal clinicians. Initial access brokers advertise these credentials weeks before active exploitation campaigns begin.
GreyMatter Digital Risk Protection (DRP) surfaces leaked credentials from contractors, staffing firms, and vendors with EHR access, identifying exposed accounts before adversaries weaponize them. When exposed credentials are identified, automated workflows trigger forced password resets, conditional access enforcement, and Teammate-driven monitoring for follow-on activity.
DRP findings funnel to the Threat Intel Analyst Teammate, which generates environment-specific advisory reports—which the Detection Engineer Teammate then builds and deploys autonomously.
Healthcare M&A activity creates inherited network segments where no asset inventory exists—unpatched vendor appliances, building-management controllers, and legacy imaging systems operate without visibility.
GreyMatter Discover maps what's connected, what's communicating, and what's exposed across clinical environments using passive identification against network traffic. For every device Discover identifies, GreyMatter immediately provides detection coverage, closing the gap between asset discovery and security instrumentation.
Device-code phishing campaigns steal M365 tokens that survive password resets—and investigating the blast radius requires pivoting across EHR logs, identity platforms, email gateways, and endpoint telemetry manually. Each pivot means a different query language, a different console, and manual context-stitching.
The Universal Translator normalizes every field from Epic, Cerner, SentinelOne, Okta, Proofpoint, CrowdStrike, and Entra into OCSF's unified schema at connection. Correlation happens at ingest, at the individual field level, without data centralization.
Analysts and the GreyMatter Agentic Teammates operate from a single normalized layer—zero vendor-specific query syntax—with risk-adjusted response that protects clinical systems from disruption.
Customer Spotlight: ChenMed
ChenMed runs 111 primary care centers across 15 states, with a security environment spanning operational technology, medical devices, and clinical systems. Investigations that required manual correlation across those layers consumed hours of analyst time, and after-hours coverage depended on human availability.
After deploying GreyMatter with Agentic AI, automated investigations and threat response replaced the manual triage cycle. Detections mapped to MITRE ATT&CK increased as the Universal Translator normalized telemetry across ChenMed's clinical and enterprise infrastructure, while the IR Analyst Teammate handled response actions autonomously, including after-hours containment that previously waited until morning.
The measured impact: 83% reduction in MTTR, 89% reduction in alert noise, and 28% increase in detections mapped to MITRE ATT&CK—all within three months.
Measurable impact with GreyMatter
"With ReliaQuest, I can do the work of 20 people with a nine-person internal team."
See It in Your Environment
Your existing EDR, SIEM, identity, cloud, and clinical-system tools stay in place. GreyMatter acts as the agentic defense layer across all of them—normalizing at the field level, detecting in transit, validating exposure continuously, and containing threats with clinical risk-awareness.