IDSIPSjälgimine

IDSIPSjälgimine refers to the ongoing monitoring, analysis, and management of intrusion detection and prevention systems (IDS/IPS) to detect, assess, and respond to security incidents. The aim is to increase visibility, reduce incident dwell time, and support informed decision making in security operations. IDS detects suspicious activity, while IPS can block or mitigate threats in real time; together they generate alerts, collect logs, and provide situational awareness of network and host activity.

Typical components include sensors (network intrusion detection for traffic, host-based sensors for endpoints), central collectors, and a SIEM or log analytics platform. Data sources include network packets, flow records (NetFlow/IPFIX), system and application logs, and updated signatures. Data are normalized and correlated to produce actionable alerts and dashboards for operators.

The operational workflow involves data ingestion, event correlation, alert generation with risk scores, triage by analysts, and containment or escalation. Metrics include alert rate, precision, false positive rate, mean time to detect, mean time to respond, and coverage. Regular rule updates and tuning are essential to balance detection with noise reduction.

Best practices encompass baseline monitoring, testing in a lab, centralized logging, access controls, privacy considerations, and documented response playbooks. Automation and SIEM correlation enable faster containment, evidence collection, and post‑incident review.