How can organisations verify payments sent through chat apps?

Why chat-app payment requests need a second channel

Chat apps are useful for speed, but they are a weak trust boundary for money movement. Messages can be spoofed, forwarded, hijacked or sent from an account that looks familiar without being legitimate, so the message itself should never be treated as proof of payment intent. Use a separate channel that is already trusted for business approvals and payment confirmation.

For high-value or unusual requests, the safest pattern is to move from chat into a controlled approval path, then verify the beneficiary, amount and urgency against known records. That is especially important when the request introduces a new payee, a changed bank account, a deadline, or a pressure cue such as secrecy or immediacy.

A practical safeguard is to treat chat as a trigger for review, not as the authorisation record. That keeps the payment decision tied to a process that can be checked, logged and audited, rather than to the convenience of a conversation thread.

What verification should look like in practice

Verification works best when it confirms the request through something independent of the chat thread, such as a callback to a known number, a ticketed approval workflow, a finance system approval, or an out-of-band message to a known contact. The verifier should confirm who asked, what changed, who approved it, and whether the destination account is already on file.

Where payment instructions are altered, the organisation should compare the new details against master records and require extra scrutiny before any release. Invoices, supplier records and bank details should be checked for consistency, because fraud often succeeds when staff trust the story in the message more than the payment data itself.

Logging matters here because it creates a review trail for disputes, fraud investigations and control testing. Record the request, the approver, the channel used for confirmation, any changes to payee details, and the final payment decision so that patterns can be analysed later.

Why urgency and impersonation cues matter most

Fraudulent payment requests often rely on social pressure rather than technical sophistication. Impersonation, urgency, secrecy and authority cues are the main indicators that the chat request should be challenged, because they are designed to shorten the time available for verification.

If the request asks staff to bypass normal steps, move quickly, or avoid speaking to the usual contact, treat that as a control failure indicator rather than a business exception. The more the message tries to override the standard approval path, the more the organisation should slow the transaction down and confirm it elsewhere.

Authorised Push Payment (APP) Fraud Guide is useful here because it covers the payment-fraud patterns and controls that sit behind these verification steps, including confirmation checks and scam detection.

Risk and Threat Considerations

Chat-based payment fraud succeeds when staff treat a familiar-looking message as a trusted instruction. The main exposure is not the chat tool itself, but the combination of impersonation, social engineering and weak approval discipline that can push a false payment through before anyone checks the account details independently.

Failure mechanism: An attacker or impersonator gains influence over the message thread, then uses urgency, authority or account-change language to bypass normal verification and trigger an unauthorised transfer.

Impact: The organisation can lose funds, pay the wrong counterparty, and discover the fraud only after the payment has cleared, when recovery is slower and evidence is harder to preserve.

Practitioner Guidance

What to verify: Build a rule that no payment request is actioned from chat alone. Confirm the request through a known contact path, then verify beneficiary details, approval authority and any change to payment instructions before release.

Common mistake: Teams often focus on whether the chat account looked genuine and miss the more important question of whether the payment instruction was independently confirmed. The account can be real and still be the wrong source of instruction.

What good looks like: Staff pause on unusual payment requests, route them through a standard approval workflow, and can produce a clear record of who confirmed what, when, and by which channel.

Practitioner takeaway: The control objective is not to make chat safer than it is, but to keep chat from being the only evidence for a financial decision.

Related resources from NHI Mgmt Group

• What breaks when organisations do not verify requests for payments or credential changes through a separate channel?
• What happens when organisations do not verify requests that arrive through social media or messaging apps?
• How can organisations reduce the risk of data exfiltration through AI chat sessions?
• How should organisations govern personal data that moves through email, cloud apps, and AI tools?