Processing observability for privacy, AI governance and audit evidence.
Trustyra sits above fragmented enterprise systems and turns processing signals into identifier-free fingerprints, convergence chains and explainable evidence.
From fragmented enterprise signals to verified processing evidence
CRM, SaaS apps, data warehouses, APIs and AI workflows.
Purpose, operation, sensitivity, topology, jurisdiction and legal context.
Stable event-level representations of processing behavior.
Links related processing events across fragmented systems.
Creates explainable outputs for privacy, legal and audit teams.
Operational visibility for teams responsible for trusted processing.
Connectors
Collect processing metadata from enterprise systems without turning Trustyra into another identity-centric tracker.
Anchor Normalization
Normalize signals into purpose, operation, sensitivity, topology, jurisdiction and legal-context anchors.
Fingerprint Engine
Generate stable, privacy-preserving representations of processing events.
Convergence Engine
Detect related processing behavior across CRM, SaaS, data pipelines, APIs and AI systems.
Legal Explainability
Translate technical signals into narratives that privacy, legal and audit teams can understand.
Dashboard / API
Expose verified processing chains, evidence bundles, risk context and system participation maps.
A shared record for privacy, legal, audit and technical teams
Trustyra turns technical processing signals into concise, reviewable evidence: which systems participated, which anchors supported the conclusion, why related events were linked, and what narrative can be used for governance review.