IDSIPSi

IDSIPSi is a modular cybersecurity framework that combines intrusion detection capabilities with privacy-preserving analytics. It is designed to monitor network traffic and system logs, detect malicious activity, and minimize exposure of sensitive data. The platform supports on-premises, cloud, and hybrid deployments and emphasizes interoperability with existing security tooling and workflows.

Its architecture comprises a data collection layer, a detection layer, a privacy layer, and an orchestration component. The data collection layer ingests network data (packet captures, NetFlow), host logs, and sensor telemetry. The detection layer runs signature-based detectors, anomaly detectors, and machine-learning classifiers. The privacy layer applies data minimization, privacy-preserving analytics, and access controls before data is stored or shared.

IDSIPSi offers real-time alerting, event correlation, and dashboards, with a plugin-based extension model. It supports standard data formats for indicators and can feed SIEMs or security orchestration platforms. Privacy controls are designed to reduce data exposure while preserving analyst visibility.

Common deployments include enterprise networks, cloud environments, and critical-infrastructure contexts where security monitoring must balance privacy. It is distributed as open-source software with optional commercial support and professional services.

Developed by a cross-industry consortium, IDSIPSi has evolved through community contributions and formal reviews. It has a modest but active user base and documentation, with ongoing work to improve performance, scalability, and interoperability with existing security ecosystems.