An AI-driven security operations platform that ingests live telemetry, calibrates models on GPU, and orchestrates responses with human oversight built in.
Four core services work together to deliver governed automation.
Auto-detects schemas, proposes mappings, and normalises events on arrival. Manual review queues ensure analysts approve every new feed.
Enriches normalised records with contextual intelligence, then correlates incidents across recent telemetry to reveal campaigns.
Applies policy, confidence thresholds, and human approvals before triggering automated actions. Every decision is timestamped and archived.
Dashboards, audit logs, and identity services keep analysts, administrators, and auditors aligned.
Sentient Spire QCS™ integrates with core telemetry and access providers out of the box.
Integrate endpoint, network, cloud, and identity telemetry through guided connectors that handle mapping, normalisation, and deduplication.
Use your enterprise directory for federated sign-on, enforce adaptive MFA, and route new access requests through an executive approval queue.
Secure service interfaces expose orchestrated actions, health metrics, and audit exports so operations teams can integrate Sentient Spire QCS™ into existing workflows.
How teams adopt Sentient Spire QCS™ in production.
Provision the Sentient Spire QCS™ environment within your enterprise cloud or connect to the managed service operated by our team.
Onboard priority log, identity, and endpoint feeds. Approve proposed mappings in the Data Connector Manager and observe normalised events in the console.
Review orchestrator recommendations, tune policies, and agree on the confidence threshold that will trigger automated containment.
Share dashboards, audit extracts, and executive briefings with leadership so stakeholders understand how the platform is performing.
Bring your telemetry or use ours—we will show the platform live, from ingestion to audit export.