Enterprise network traffic
Multi-million flow captures from academic research labs help calibrate intrusion detection against known campaigns.
Telemetry from edge agents, cloud services, and identity providers flows into a governed data pipeline. Every record is traceable from ingestion to model decision.
We validate our models on diverse corpora so performance can be replicated independently.
Multi-million flow captures from academic research labs help calibrate intrusion detection against known campaigns.
Authentication telemetry provides baselines for false-positive monitoring and drift detection.
Curated datasets covering contemporary attack families ensure the platform recognises both volumetric and low-and-slow behaviour.
Live telemetry sources stream directly into the ingestion AI.
Endpoint and network agents forward alerts through the Sentient collector. Each batch records received, deduplicated, and queued items.
Workload, application, and access logs stream through the ingestion AI with analyst approval of any newly proposed schema.
New formats surface immediately in the Data Connector Manager for validation. Once approved, automation resumes with the updated mapping.
Security leaders receive an auditable chain of custody for every record.
Every ingest call captures the original payload, normalized output, and orchestrator decision ID for seven days of hot retention.
Audit logs record schema approvals, confidence threshold changes, and automated actions—including who approved or declined them.
Governance briefings, dataset summaries, and audit extracts are available directly from the console for executive review.
Performance telemetry keeps leaders informed about ingestion timings and service availability against agreed objectives.
We provide a full evidence package—datasets, metrics, and audit logs—so your teams can validate Sentient Spire QCS™ end-to-end.