Controls
& Governance
Risk Management Built into the Core
Confidently build and deploy workflows knowing data privacy, localization, FSI regulatory requirements, and non‑deterministic behavior are all managed in‑band.
Under the hood, data lineage, model risk, and AI governance are first‑class features — so you can trust every workflow you automate.
Data Lineage
End‑to‑end traceability for every data element.
Stay compliant by design — deploy within data residency constraints, and legal entity boundaries.
Installations isolated by environment: experiment safely without cross-contaminating sensitive data.
Ground agents in governed, domain-owned, and trustworthy data that is entitled with fine-grained RBAC.
Maintain traceability of multimodal content and obtain BCBS 239-style reporting with audit-ready lineage.
Model Risk
Fully aligned with model governance requirements.
Keep every change controlled, reviewable, and reversible with in-house SDLC and MDLC standards across all agents.
Give model risk teams the design docs, testing evidence, and ongoing monitoring needed for SR 11‑7 adherence.
Use risk‑adjusted interaction callbacks to protect critical decisions by routing high‑impact steps to humans when the stakes are large.
Make every agent decision easy to trace, debug and review with online journals and immutable audit logs.
AI Governance
Operational guardrails that keep agents aligned.
Automatically break workflow circuits with detailed context captured to provide visibility into agent behavior.
Sustain quality by testing agents against benchmarks and real traffic with continuous online and offline evals.
Keep agents within policy by blocking out‑of‑policy actions before they reach customers with in‑band guardrails.
Keep decisions grounded in citable data sources, handle checkpoints and rollbacks, and check work with verifier agents.
