Quynah
Quynah
Collectors → Incrementals → Pub/Sub → Continuous Analysis → Automated Remediation → Evidence-Driven Multi-Tenant Management
Quynah isolates and processes evidence per tenant, enabling MSPs, security partners, and enterprises to manage multiple Google Workspace environments from a single console — with strict data boundaries, full auditability, individual pipeline modes, and full privacy isolation.
Quynah processes all Workspace evidence within the customer's own environment — never externally. Every tenant maintains its own isolated collectors, analyzers, evidence store, and operational mode. No vendor lock-in. Full auditability. Zero data sharing across tenants.
Quynah's data collection pipeline operates across three modes: full baseline collectors, incremental updates using Google change tokens, and real-time Pub/Sub ingestion. These mechanisms provide complete Workspace coverage with efficient, low-latency data retrieval across all services.
Baseline import across all Workspace products.
Efficient updates using Google change tokens.
Instant insight into authentication, Drive, admin actions, OAuth, devices, and alerts.
After data is collected, Quynah transforms it into structured, verifiable evidence. All evidence in Quynah follows the same model: NDJSON output, SHA-256 hashing, gzip compression, manifest metadata, and per-tenant isolation.
All evidence is stored as line-based NDJSON. This makes every record individually parseable and streaming-friendly for analysis, auditing and SIEM ingestion.
Each evidence file is hashed before compression. Hashes are stored in a manifest, ensuring verifiable integrity for audits and cross-system verification.
Evidence files are compressed using gzip to reduce storage footprint and improve transfer efficiency. Compression never affects hashing integrity.
Every run produces a manifest containing timestamps, totals, module details, hashes, and processing information. Manifests are also stored as NDJSON.
Evidence is never shared across tenants. Each tenant has its own evidence tree, ensuring privacy, compliance, and strict separation between environments.
Because evidence is structured and line-based, Quynah can export or stream evidence into SIEM platforms without transformation scripts or intermediate layers.
Users, Devices, Drive, Admins, Groups, OAuth, Alerts — 80+ collectors, 130+ analyzers, 180+ admin- and user actions.
Detect → Evaluate → Remediate with fully auditable workflows.
Evidence correlation, anomaly detection, guided incident review.
This dashboard showcases Quynah's real-time operational overview, combining analyzers, findings, critical events, and device posture in a single interface.
