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02/08/2026 12:17 pm
TL;DR: EDR platforms are strong at endpoint detection, but the operational bottleneck is response: alert volume, siloed telemetry, and manual handoffs slow containment and raise dwell time, according to torq. Agentic AI and hyperautomation matter because they convert detection into coordinated action across endpoint, identity, SIEM, and ticketing workflows.
NHIMG editorial — based on content published by torq: EDR Tools Explained, Plus How AI SOC Platforms Supercharge Them
By the numbers:
- 97% of security leaders trust AI to handle triage, but only 35% are actually using it there.
- Torq integrates with 11+ leading EDR platforms and connects endpoint signals to automated response across your entire security stack.
- The Torq AI SOC Platform integrates with 300+ tools across the security stack.
Questions worth separating out
Q: How should security teams reduce EDR response time without losing control?
A: Start by standardising containment playbooks for the most common alert types, then automate the low-risk steps that follow confirmation.
Q: Why do EDR programmes still struggle when detection quality is high?
A: Because detection quality does not remove the operational work required to contain an incident.
Q: What do security teams get wrong about EDR alert fatigue?
A: They often treat alert fatigue as a tuning problem when it is also a workflow problem.
Practitioner guidance
- Map EDR alerts to containment runbooks Document which detections should trigger endpoint isolation, credential revocation, ticket creation, and user notification, and identify where each step currently requires human handoff.
- Measure alert-to-containment latency Track the time from initial EDR alert to isolation or other containment action across every system involved, including SIEM, identity, ITSM, and firewall tooling.
- Connect endpoint response to identity controls Ensure EDR workflows can trigger account suspension, token revocation, and privileged access review when compromise indicators point to credential abuse or lateral movement.
What's in the full article
torq's full article covers the operational detail this post intentionally leaves for the source:
- Platform-by-platform EDR examples showing how different vendors expose alert and response APIs
- Torq's specific integration patterns across EDR, SIEM, identity, and ITSM tooling
- The article's full discussion of automated enrichment and response workflow design
- The vendor's evaluation questions for scaling EDR with an automation layer
👉 Read torq's analysis of EDR response gaps and AI SOC automation →
EDR response gaps: what security teams need to fix first?
Explore further
02/08/2026 1:18 pm
EDR has become a visibility control, not a complete response control. The article correctly distinguishes detection from containment. Many programmes still treat endpoint tooling as if seeing the threat is equivalent to stopping it, but the real gap is between alert generation and action execution. That gap is where attackers extend dwell time, especially when identity revocation and endpoint isolation sit in separate workflows. Practitioners should treat EDR as one input to a broader response system, not the response system itself.
A question worth separating out:
Q: What should teams do when EDR alerts point to possible credential abuse?
A: They should treat the alert as both an endpoint and an identity event. That means isolating the device, revoking active sessions or tokens, reviewing privileged access, and checking for lateral movement. Fast identity containment is often what prevents a single endpoint compromise from becoming a wider breach.
👉 Read our full editorial: EDR response gaps are the real SOC bottleneck in modern environments
