Not model monitoring. Not data cataloguing. Governance that spans from source data through model inference through agent action to business decision — every step traceable.
Without governed governance, these problems compound silently with every new data source and AI deployment.
Model monitoring tracks drift but cannot trace decisions through federated data. Oversight is present but incomplete.
AI agents make decisions and invoke other agents — often with no centralised visibility into what data they accessed.
When regulators ask why a credit application was declined, most architectures cannot produce the full chain.
Access controls, PII masking, and lineage enforced at the federation query layer
Bias, drift, and explainability monitored — connected to data lineage below
Permissions, guardrails, and human-in-the-loop gates applied to every agent action
Full reconstruction from source data through model inference to business outcome
Access controls, PII protection, classification, and lineage from the moment data enters the platform.
Bias detection, drift tracking, fairness metrics, and explainability connected to the data layer beneath.
What agents can do, what data they access, what approvals are required — governed by policy, not convention.
The complete audit trail connecting all layers — outcome fairness, full reconstruction, regulator-ready.
See how Tantor's four-layer governance makes every AI decision traceable, explainable, and regulator-ready.
Governance in Tantor spans four interconnected layers — data, model, agent, and decision — so every AI output is explainable, fair, and audit-ready. Unlike point tools that govern only one layer, Tantor governs the full lifecycle from source data through model inference and agent action to the final business decision.
Model monitoring tracks drift and performance but cannot trace a decision back through federated data, agent actions, and policy checks. Complete AI governance connects all four layers, so when a regulator asks why a decision was made, you can reconstruct the entire chain — data lineage, model reasoning, guardrails, and human oversight.
Tantor's governance framework records access controls, PII masking, quality attestations, guardrail events, and human-in-the-loop actions as part of one continuous audit trail. Every decision is reconstructable and exportable for regulatory examination, aligned to DPDP and RBI requirements.
Tantor's governance is built to align with the DPDP Act, RBI guidelines, and GDPR — by architecture rather than configuration. This makes it suitable for regulated industries where explainability and accountability are mandatory.