How it typically works?
- Data collection: agents on endpoints collect real-time telemetry.
- Analytics: machine learning or rules analyze activity to identify suspicious patterns.
- Detection: alerts are generated when behavior resembles known attack techniques.
- Response: analysts can isolate, remediate, or roll back changes on the compromised system.
Common techniques
- Behavioral monitoring: detects ransomware by spotting mass file encryption.
- Threat hunting: analysts query endpoint data to find hidden attackers.
- Rollback capabilities: restore files or registry keys after an attack.
- Integration with SIEM: share endpoint data with broader monitoring systems.
- Cloud-based EDR: leverages centralized analytics for faster detection.
- Extended Detection and Response (XDR): expands monitoring beyond endpoints to networks, cloud, and email.
Impact
EDR has become a cornerstone of enterprise defense. It improves detection of advanced persistent threats, stops ransomware before widespread damage, and supports forensic investigations. However, EDR systems require skilled analysts and can produce large volumes of alerts if not tuned. For SecOps, effective EDR use means balancing automation with human investigation.
Further reading
- NIST: EDR Overview. Read more
- Microsoft: What is EDR? Read more
- CrowdStrike: EDR explained. Read more
- Palo Alto Networks: EDR vs XDR. Read more
- SentinelOne: How EDR works. Read more