Telemetry Ingestion & Data Processing
PIPELINE is the data foundation of the VIntercept platform, ingesting telemetry from every source in your environment and normalizing it into a unified schema that all agents can consume. It handles high-volume data streams with configurable retention policies, ensuring no signal is lost.
Effective autonomous security operations require comprehensive visibility. PIPELINE provides that visibility by ingesting telemetry from every relevant source across your environment — endpoint detection and response agents, network sensors, cloud audit logs, identity provider events, email gateway logs, and custom application telemetry. Raw data from dozens of vendors and formats is normalized into a single, consistent schema that enables agents like SPECTRE and ARGUS to correlate across sources without translation overhead.
PIPELINE is not just a log collector. It enriches incoming telemetry with contextual data — resolving hostnames to asset inventory records, mapping user accounts to organizational roles, and tagging events with geolocation and threat intelligence context. This enrichment happens at ingestion time, ensuring that every event processed by downstream agents carries full context from the moment it enters the platform.
PIPELINE operates a distributed ingestion architecture designed for high throughput and low latency. Collection agents deployed at telemetry sources forward raw events to PIPELINE's processing tier, where they are parsed, validated, normalized to the VIntercept unified event schema, enriched with contextual metadata, and written to the platform's event store. The processing tier scales horizontally to handle burst volumes without dropping events.
Data retention is configurable per source and per event type. Hot storage provides sub-second query latency for active investigation data, warm storage extends retention for historical analysis, and cold archival ensures long-term compliance retention. Source health monitoring tracks ingestion rates, latency, and schema compliance for every connected source, alerting operations teams if a telemetry feed degrades or goes silent.
Multi-Source Ingestion
Ingests telemetry from endpoints, network sensors, cloud platforms, identity providers, email gateways, and custom sources through native integrations and standard protocols.
Schema Normalization
Transforms raw telemetry from dozens of vendor-specific formats into a unified event schema, enabling seamless cross-source correlation without translation overhead.
High-Volume Processing
Horizontally scalable processing tier handles sustained high-throughput ingestion and burst volumes without dropping events or introducing processing latency.
Configurable Retention
Tiered storage with configurable retention policies per source and event type — hot for active investigations, warm for historical analysis, cold for compliance archival.
Data Enrichment
Enriches every event at ingestion time with asset inventory data, organizational context, geolocation, and threat intelligence, ensuring full context for downstream agents.
Source Health Monitoring
Continuously monitors ingestion rates, latency, and schema compliance for every connected telemetry source, detecting feed degradation before it creates visibility gaps.
PIPELINE provides the data layer that all other agents depend on. Normalized, enriched events flow from PIPELINE to SPECTRE for real-time detection, to ARGUS for correlation and investigation, and are available to CIPHER for historical artifact analysis. PIPELINE integrates natively with major EDR vendors, network monitoring platforms, cloud providers, and identity systems. Custom integrations are supported through syslog, REST API, and file-based collection. All data processing runs entirely on-premises — your telemetry never leaves your infrastructure.
Schedule a guided proof-of-concept to see how PIPELINE ingests and normalizes your telemetry sources, or explore the technical documentation for supported integrations and schema details.