ShieldPrompt
A privacy layer that sits between applications and LLM providers, detecting and redacting sensitive information in flight, so teams can adopt AI without handing over their data.
- Domain
- AI Privacy & Compliance
- Discipline
- Security Engineering
- Type
- In-house R&D build
Why Enterprises Need It
Every prompt sent to a third-party LLM is a potential data-leak vector. Employees paste customer records, contracts, and source code into models hosted outside the company's security perimeter, often without realizing it.
For regulated organizations, that is an unacceptable risk, and the usual answer is a policy telling people not to do it. We wanted to see what a technical answer looks like instead: a layer that lets a team adopt generative AI without surrendering control of its most sensitive data.
Architecture
ShieldPrompt is a transparent proxy. Outbound prompts are inspected and sanitized before they leave the perimeter; responses are re-hydrated on the way back, so the application experience is unchanged.
PII Detection
Detection combines fast deterministic rules with a learned model, so both structured identifiers and free-form sensitive language are caught.
Pattern Recognition
Deterministic detectors catch structured identifiers such as card numbers, SSNs, emails, and keys with near-perfect precision.
Contextual NER
A fine-tuned model identifies names, locations, and sensitive context that no regular expression could reliably catch.
Reversible Tokenization
Detected entities are swapped for consistent placeholder tokens, preserving meaning while removing the raw data.
Policy Engine
Per-team policies decide what is redacted, masked, or blocked outright, auditable and centrally governed.
Prompt Sanitization
When a prompt is intercepted, sensitive spans are replaced with reversible placeholder tokens before the request leaves the network. The LLM reasons over sanitized text; when the response returns, the original values are securely re-inserted for the end user.
The result is a completely transparent experience: the application and the user see full fidelity, while the model provider never sees a single raw identifier.
Compliance
ShieldPrompt was built to slot directly into existing governance frameworks.
- 1
Full audit trail
Every detection, redaction, and policy decision is logged for review and regulatory reporting.
- 2
Data residency
All sensitive processing happens inside the customer's own perimeter, so nothing sensitive leaves the boundary.
- 3
Configurable retention
Mapping data and logs follow customer-defined retention and deletion policies by default.
Enterprise Benefits
- 1
Adopt AI safely
Teams get the productivity of frontier models without expanding their data-exposure surface.
- 2
Provider-agnostic
A single control plane governs every model and vendor the organization uses.
- 3
Invisible to users
Protection sits in the request path, not in the user's way. Nobody has to remember to turn it on.
Technologies Used
Have a problem like this to solve?
We build these systems end to end. Let's talk about yours.
Book a Consultation