DataStrict for AI Applications
Govern every prompt, every output.
The control layer for the AI your teams ship. One boundary governs every model, agent, and tool call - inspecting prompts, enforcing policy on tool use, redacting unsafe outputs, and recording every decision. Model-agnostic by design: it works in front of any provider, or your own.
The problem
The model is a black box. The boundary is yours.
Enterprises don't lose control of AI inside the model - they lose it at the edges: a support agent that egresses customer PII, a copilot that calls a tool it shouldn't, a prompt that smuggles secrets into a third-party API.
DataStrict governs the boundary. What matters is the data crossing into and out of the model - and that is exactly where the Gateway enforces, on every request, in real time, with a record of every decision.
The agent that over-shares
A support copilot retrieves an order and pastes raw email and SSN into its reply. Nothing was misbehaving - there was simply no boundary to say no.
The prompt that smuggles secrets
A user pastes an internal API key into a chat that forwards to a third-party model. The key is now in someone else's logs.
The tool call nobody approved
An autonomous agent decides the fastest way to resolve a ticket is to issue a refund. It had the tool; no one had scoped it.
Capabilities
Enforcement at the speed of inference.
Prompt inspection
Every prompt is scanned for PII, secrets, and disallowed content before it is ever forwarded to a model - block or redact at the boundary, not after the fact.
Output redaction
Responses are evaluated on the way back. Sensitive fields are masked, unsafe outputs blocked - so a model can never leak what policy forbids.
Tool-call control
Bind every agent tool call to identity, purpose, and an allowlist. Payments, exports, and privileged actions require explicit authorization - denied by default.
Real-time adjudication
A layered pipeline resolves the clear cases deterministically in microseconds and escalates only the ambiguous ones to a model-graded review.
How it fits
One boundary in front of every model.
Your applications call DataStrict instead of the model directly. The Enforcement Fabric - our AI gateway - evaluates each request against policy at inference time, forwards what's permitted, inspects the response, and writes an immutable record, all in the same round trip. No model fine-tuning, no SDK rewrite, no change to how your teams build.
Because it sits at the boundary rather than inside any one foundation model, you can switch providers, run several at once, or self-host - and your governance travels with you. See the full request lifecycle on the control layer page.
Govern AI like infrastructure.
Talk to our team about deploying DataStrict across your enterprise stack.