# Reviewing AI-to-AI transactions: identity, intent, and evidence

> Design review controls for exchanges between software agents without assuming signatures or trust scores can guarantee fraud prevention.

By Truthlocks
Published: 2026-04-10
Updated: 2026-10-03T05:03:20.378691Z
Canonical page: https://www.truthlocks.com/blog/anti-fraud-for-ai-to-ai-transactions

When two software agents exchange requests, a valid credential is only the beginning of the review. A request can be correctly signed and still ask for an inappropriate action. Teams need to inspect identity, authority, task context, and the evidence behind a proposed transaction.

## Identify both sides of the request

Record which agent initiated the exchange and which service will act on it. Associate each with an accountable owner. Where delegation is involved, check the supported delegation scope and the receiving system’s enforcement rather than assuming one organization’s permission automatically grants access in another.

## Bind the action to the business context

A purchasing assistant might request a change to supplier payment details. The review needs the supplier reference, proposed change, supporting evidence, and authorized approval path. A signed request establishes which identity sent those details; it does not independently establish that the new account belongs to the supplier.

Define the verification and review steps required before the receiving financial system accepts a consequential change. Keep a proposal distinct from an executed transaction in both the interface and the action history.

## Make exceptions reviewable

Configured [fraud-review workflows](https://www.truthlocks.com/product/fraud-ops) can help organize cases and evidence. Record the flagged issue, relevant document versions, reviewing identity, and resolution. Avoid turning an unavailable signal into a clean result or a model recommendation into an automatic fraud determination.

- Check the acting identity and permitted task.
- Compare the supplied records with trusted source information.
- Investigate inconsistent amounts, destinations, or document versions.
- Require the appropriate approval for a consequential action.
- Preserve the recorded decision and supporting references.

## Test rejected and repeated requests

Verify that your receiving integration handles unauthorized requests, expired credentials, repeated submissions, and service errors according to its documented behavior. An action receipt helps explain what was reported, but the business system must enforce the action boundary.

The [payment dispute example](https://www.truthlocks.com/industries/fintech#dispute-evidence) and [supplier declaration workflow](https://www.truthlocks.com/industries/supply-chain#supplier-declarations) offer concrete starting points. Identity and evidence support investigation; they do not guarantee that fraud cannot occur.