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Neural Defend

NeuroVerify Integration Recipes

A safe NeuroVerify integration has five explicit stages: authorize the upload, validate the input, call one documented client contract, branch on outcome status, and record the evidence used by the downstream decision. Image and video flows share these stages but must not share a response parser. Video keeps visual and audio observations separate. Use an official SDK for application code or the MCP server for an authorized local-agent workflow.

Maintained byNeural Defend
Updated August 7, 2026
Siva Shankar, Co-founder and CTO of Neural Defend.
Siva ShankarCo-founder & CTO
A reference pipeline connects media intake and validation to analysis, policy, review routing, downstream actions, observability, and audit records.Category visual

Use a common control pipeline

Begin with a clear purpose and authority to upload the selected media. Apply local format and size checks where the chosen client supports them. Keep the API key server-side and send the file only to the documented production or staging origin.

After the call, branch on status, then media-specific risk fields. Record the transaction identifier, billable state, selected policy outcome, and review disposition. Keep retention, access, and deletion aligned with your own obligations and account terms.

Choose one application contract

Python and TypeScript SDK integrations should depend on normalized result objects and documented exceptions. Direct REST integrations should depend on the OpenAPI envelope. MCP automations should depend on versioned structuredContent.

Do not mix raw wire fields, SDK-normalized fields, and MCP fields in one unversioned application model. An explicit adapter makes contract updates and testing easier to control.

Test the edges before launch

Exercise scored low, medium, and high outcomes with approved fixtures when available. Also test rejected input, no-face behavior, silent video, rate limiting, server failure, timeout, cancellation where supported, and a future unknown result.

Confirm that no failure path becomes approval, that manual retry is visible, and that support logs exclude credentials and unnecessary media data.

Evidence boundary

Limitations

  • These recipes define integration controls, not a universal fraud, identity, moderation, or access decision policy.

Source record

Sources and references

  1. Neural DefendNeuralDefend SDKsVerified August 7, 2026.
  2. Neural DefendNeuroVerify Detection API OpenAPI contractVerified August 7, 2026.

Choose a media flow

Build image screening

Apply the image-specific face, envelope, billability, and review rules in a bounded application workflow.

Open the image recipe