endepunktsdeteksjon

Endepunktsdeteksjon is a cybersecurity discipline focused on detecting threats on endpoint devices, such as workstations, servers and mobile devices. It typically uses software agents that monitor system events, processes, network connections, file changes, and user behavior to identify malicious activity. The goal is to detect both known malware and novel or fileless attacks and to enable fast response before damage occurs.

Detectors rely on a mix of signature-based detection, heuristic rules, anomaly detection, and, increasingly, machine learning. Telemetry is often aggregated in a centralized console and mapped to threat models such as MITRE ATT&CK to support investigation. Capabilities include continuous real-time monitoring, root-cause analysis, and forensic data collection to reconstruct attack steps.

Response actions include alerting, isolating the affected endpoint from the network, terminating malicious processes, or blocking persistence mechanisms. Many implementations integrate with SIEM/SOAR for investigation workflows and may provide managed detection and response (MDR) services.

Endepunktsdeteksjon is commonly deployed as part of an endpoint protection strategy alongside traditional antivirus (EPP). EDR refers to endpoint detection and response and adds capabilities for investigation and automated response; in practice, vendors combine these into a single platform.

Deployment considerations include impact on endpoint performance and privacy, data retention policies, and the choice between on-premises and cloud-based management. Proper tuning is required to minimize false positives and to adapt detection rules to the organization's environment.

Limitations include evasion techniques by attackers, false positives, and the need for skilled analysts to interpret alerts and conduct remediation.