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Data boundary
Give AI useful context without losing control of private data.
AI systems become dangerous when sensitive data is copied into every tool, prompt, spreadsheet, and provider account. Folium Systems helps businesses map what data exists, who can use it, what must be redacted, where providers enter the workflow, and which actions must stay blocked until approved.
What Folium Builds
Clear systems, reviewable proof, and a path your team can operate.
Sensitive data with rules
We classify the information AI may encounter, then design access, masking, retention, deletion, export, and audit behavior around the workflow.
- Data classification and flow maps
- Role-based visibility rules
- Redaction, masking, and tokenization patterns
- Retention, deletion, and export workflows
- Public and private service surface inventory
Provider and live-action boundaries
We separate explanation from execution so AI can guide the team without silently sending money, notifications, approvals, credentials, or regulated actions.
- Provider handoff maps
- Environment separation plans
- Credential and secrets custody notes
- Live-action blocks and escalation triggers
- Admin path and publish-layer exposure review
Boundary procedure
Useful AI context moves through a controlled data boundary.
The business keeps control by classifying data, deciding where it may travel, and blocking actions until approved owners say otherwise.
- 01 Classify Separate public, internal, sensitive, regulated, customer, credential, and blocked information.
- 02 Redact Mask, tokenize, summarize, or exclude data before it reaches prompts, tools, providers, or proofs.
- 03 Route Choose local, private, cloud, hybrid, or public-demo paths based on risk and utility.
- 04 Approve Require human review for money, customer impact, access changes, credentials, and regulated-adjacent work.
- 05 Audit Record sources, outputs, actions, retention, exceptions, and deletion/export paths.
Proof Point
The team knows what AI is allowed to see.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
Sensitive data has masking, retention, and review rules.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
Live actions are blocked until the right owners approve them.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Start here
Bring the next AI step under control.
You do not need to know every model name, runtime option, or integration path. Tell us what is slow, risky, expensive, confusing, or disconnected. We will help translate it into a practical AI systems plan.