Topic starter
10/07/2026 9:29 pm
TL;DR: Agentic commerce is creating a “signal blackout” for traditional fraud controls because AI agents can shop from data centres without the IP, device, or cookie signals merchants rely on, while consumer trust and fraud patterns vary sharply by age group, according to Signifyd. The governance challenge is no longer only fraud detection, but deciding how to authorise, inspect, and differentiate legitimate delegated activity from automation abuse.
Editorial analysis by NHI Mgmt Group, based on content published by Signifyd: “MRC Vegas: What the future of fraud looks like”.
Key questions
Q: What breaks when fraud controls are used on agentic commerce without delegation evidence?
A: Teams lose the signals those controls were built around, so legitimate agent-driven purchases can be blocked while fraudulent automation still slips through.
A: They should prioritise delegated authority whenever shopping can be initiated by an AI agent from cloud infrastructure, because device fingerprinting may be unavailable or misleading.
Q: What are the signs that agentic commerce fraud controls are failing?
A: A strong warning sign is a rising mix of false declines, unexplained approvals and disputes where the transaction path cannot be reconstructed from existing logs.
Practitioner guidance
- Define delegated transaction policy Decide which agent-driven shopping and checkout actions are permitted, what authority must be presented, and how revocation works when a session or token is no longer valid.
- Instrument agent provenance in fraud models Add protocol-level and provenance fields to decisioning so models can distinguish authorised agent activity from unauthorised automation when device and cookie signals are absent.
- Retain evidence for dispute handling Store delegation context, checkout provenance and decision timestamps so fraud analysts and customer support can reconstruct why a transaction was accepted or declined.
Bottom line: Agentic commerce is exposing a trust gap because merchants no longer receive the stable device and network markers their fraud systems were built to read.
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
10/07/2026 9:51 pm
Agentic commerce creates a governance gap, not just a detection gap. Fraud teams have long optimised around visible human behaviour, but delegated shopping changes the identity of the actor at the point of decision. When the buyer may be an agent, the control question becomes who is authorised to transact and under what delegation scope. Practitioners should treat authorisation evidence as part of fraud prevention, not as a separate identity concern.
A few things that frame the scale:
- Nearly 60% of companies reported that fraud losses were still increasing in 2025.
A question worth separating out:
Q: How should fraud and identity teams govern AI agent purchases and disputed orders?
A: They should define policy for delegated transactions, preserve provenance end to end and align fraud review with identity evidence rather than browsing artefacts alone. That governance model helps separate authorised automation from abuse and gives investigators enough context to resolve disputes consistently.
👉 Read our full editorial: Agentic commerce is exposing fraud teams to a new signal gap