AI Data Privacy & Redaction Layer
Add a privacy control layer in front of AI workflows so sensitive information can be detected and handled before prompts, documents, or structured business data are sent to an external or shared AI service.
The problem
AI features are often connected directly to email, documents, databases, support tickets, or internal tools. That makes it easy for sensitive information to be sent to a model unintentionally, especially when many workflows and employees are involved.
Who it's for
Companies using external AI providers with customer data, employee information, confidential documents, source material, support conversations, or other information that should be filtered before it leaves an approved boundary.
The outcome
AI workflows gain a defined inspection point where sensitive content can be masked, blocked, or flagged according to agreed rules, reducing accidental exposure and creating clearer visibility over what is allowed to reach AI services.
What STYD delivers
STYD maps the AI data flows in scope, defines the sensitive-data patterns and handling rules with the client, implements an inspection and redaction layer, adds allow/block or masking behaviour where appropriate, records decisions and exceptions needed for operations, and tests the controls against representative samples before rollout.
Pricing
Typical starting point — final scope and price are confirmed after a short review of your setup.
This service is available — tell us about your setup and we'll confirm scope, hosting, and pricing.
Available as a scoped review, with optional follow-up checks and implementation support.
FAQ
Common examples include personal information, email addresses, phone numbers, credentials, tokens, account identifiers, and client-defined patterns. Exact coverage depends on the data and rules agreed during scoping.
No. Depending on the workflow, data can be masked, replaced with a placeholder, blocked, or flagged for review rather than simply deleted.
Yes, when the document or content can be inspected before it reaches the AI service. File formats and extraction requirements are confirmed during scoping.
No. Detection systems have limits and the surrounding application still matters. STYD tests representative data and documents the remaining boundaries rather than claiming perfect detection.
Related STYD services
Review how AI is actually being used across your business — providers, applications, API keys, data flows, permissions, logging, cost controls, human approval, and sensitive information — then turn the findings into a practical control roadmap.
Know which systems are reachable, by whom, and through which connections — then close the ones that are wider open than anyone intended.
Let people and tools read the numbers they need without handing them the ability to edit the records behind those numbers.
Tell us about your setup and we'll confirm fit, scope, and pricing.