Solutions / AI feature reviews

Review AI data usage before it becomes product behavior

AI features can introduce new prompts, model vendors, logs, embeddings, training settings and policy questions. Inth helps teams find those changes in code and production, then route them for human review with evidence attached.

Talk to us See code audit

Model: 01
Data: 02
Policy: 03
Decision: 04

What it helps with

Catch the privacy details hidden inside AI launches

Inth does not decide whether an AI feature is lawful or appropriate. It helps teams surface the product evidence needed for review.

01 / Use case
Model and vendor changes
Find new AI SDKs, endpoints, subprocessors and outbound calls before they lose code context.
02 / Use case
Prompt and data flows
Review what data enters prompts, logs, embeddings, retrieval systems or model workflows.
03 / Use case
Policy and customer questions
Keep answers tied to scans, runtime signals, policies, approvals and the product decision.

Find AI privacy questions before launch day

Connect the repositories and domains where AI features ship. Inth will help surface the data flows, vendors and review records behind them.

Talk to us See Inth Agent

Review AI data usage before it becomes product behavior

Catch the privacy details hidden inside AI launches

Model and vendor changes

Prompt and data flows

Policy and customer questions

Find AI privacy questions before launch day