Deepwatch is my main platform for managed detection and response across cloud and hybrid environments, providing 24/7 SOC monitoring. It helps with real-time threat detection, incident response, and log analysis, improving security posture and reducing response time in operations. For example, using Deepwatch, we detected suspicious login attempts in a cloud workload via real-time log analysis. The platform triggered alerts and guided response actions, allowing us to quickly isolate the account, enforce MFA, and prevent a potential breach, reducing response time significantly. Additionally, with Deepwatch, we use it for continuous monitoring of cloud logs, such as AWS CloudTrail and Azure Monitor, to detect anomalous activity and policy violations. It also helps in incident correlation and automated response playbooks, improving SOC efficiency and reducing mean time to detect or respond.
Find out what your peers are saying about Deepwatch, ReliaQuest, Arctic Wolf Networks and others in Managed Detection and Response (MDR). Updated: April 2026.
Managed Detection and Response (MDR) is a security solution combining technology and human expertise to identify, assess, and react to threats in real-time.MDR services offer 24/7 monitoring, threat intelligence, and incident response beyond standard security measures. With expert personnel and advanced analytics, these services help organizations detect hidden threats, reducing response times. Users highlight the ability of MDR to provide comprehensive visibility and preparedness against...
Deepwatch is my main platform for managed detection and response across cloud and hybrid environments, providing 24/7 SOC monitoring. It helps with real-time threat detection, incident response, and log analysis, improving security posture and reducing response time in operations. For example, using Deepwatch, we detected suspicious login attempts in a cloud workload via real-time log analysis. The platform triggered alerts and guided response actions, allowing us to quickly isolate the account, enforce MFA, and prevent a potential breach, reducing response time significantly. Additionally, with Deepwatch, we use it for continuous monitoring of cloud logs, such as AWS CloudTrail and Azure Monitor, to detect anomalous activity and policy violations. It also helps in incident correlation and automated response playbooks, improving SOC efficiency and reducing mean time to detect or respond.