Connect storage, drives, and databases into an LLM-native workspace. Preserve provenance, enforce residency, and keep every AI conclusion traceable — purpose-built for Law & Finance.
Secure connectors for LLM and RAG workloads. Enforced residency. Full lineage on every retrieval.
Read-scoped adapters for S3, SharePoint, Google Drive, and warehouses that power LLM and RAG, with no model training on your data.
Pin sources to EU/UK or custom regions with policy-based routing, retention, and deletion tuned for AI and LLMO workflows.
Every retrieval is logged and cited — source → query → AI answer — ready for audit, regulators, and internal review.
Honor existing roles, groups, and approvals so your AI assistant can only see what the user is already allowed to see.
Every retrieval. Every AI-assisted claim. Traceable and controlled.
Mirror roles and approvals instead of broad ingestion, so LLMs only use data that users are allowed to see.
Source → usage → output with timestamps, prompts, models, and reviewers captured for every answer.
EU/UK residency options, legal-hold aware retention, and deletion policies for your AI data plane.
The same governance you expect for core systems, now applied to LLM and reasoning workloads.
Use scoped, audited connectors instead of bulk exports, so AI stays close to your existing data perimeter.
Keep AI processing and caching in-region, with residency and retention policies aligned to your risk posture.
Tie every answer back to sources, prompts, and models, so internal audit and regulators can replay decisions.
Mirror RBAC from your identity provider into Xybern projects, so LLM access tracks your existing controls.
Connect real systems under residency, RBAC, and lineage controls. Evaluate traceability, LLM answer quality, and review workflows on your own legal and finance data.
“Reliable AI outcomes start with reliable data. Xybern preserves provenance from source to reasoning to decision.”
