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10/07/2026 9:13 pm
TL;DR: Agentic commerce is shifting product discovery and checkout into AI-mediated flows, and Signifyd says AI agent referrals in its Commerce Network rose 1,247% while sales from those referrals climbed 894% in October 2025. The governance problem is no longer just fraud detection at checkout, but identity, intent and accountability across the full buying journey.
NHIMG editorial — based on content published by Signifyd: What is agentic commerce and how do retailers prepare?
By the numbers:
- In October 2025, orders from AI agent referrals in Signifyd’s Commerce Network were up 1,247% from a year earlier.
- Sales from those referrals climbed 894% in October 2025.
Questions worth separating out
Q: How should retailers control AI agents that shop on behalf of customers?
A: Retailers should treat delegated shopping as a policy problem, not only a checkout problem.
Q: Why do AI shopping agents complicate fraud detection?
A: AI shopping agents complicate fraud detection because they can shift the transaction origin away from the browser session and toward an external platform or delegation layer.
Q: What do security teams get wrong about agent-driven purchases?
A: The common mistake is assuming agent-driven purchases can be governed with the same controls used for ordinary ecommerce traffic.
Practitioner guidance
- Strengthen delegated-authorisation rules Define which agent actions are allowed, which require re-confirmation and which are prohibited, then bind those rules to spend limits, product classes and delivery changes.
- Instrument transaction provenance Capture where the purchase originated, which assistant or platform mediated it, and what policy or prompt triggered the order so dispute teams can trace the path end to end.
- Revise fraud models for agent-mediated behavior Add controls that score upstream automation, abnormal delegation patterns and unexpected checkout origin rather than relying only on device, velocity or browser heuristics.
What's in the full article
Signifyd's full article covers the operational detail this post intentionally leaves for the source:
- Category-by-category merchant implications for grocery, apparel, electronics and travel
- Practical preparation steps for product data, checkout design and fraud controls
- Detailed examples of how agent-driven shopping can change returns, disputes and identity verification
- The article's discussion of how merchants can evaluate declines before treating them as losses
👉 Read Signifyd's analysis of agentic commerce and retailer readiness →
Agentic commerce: what it means for fraud, trust and checkout?
Explore further
10/07/2026 9:36 pm
Agentic commerce creates an identity and intent problem, not just a fraud problem. Retailers may be tempted to treat AI-mediated checkout as a channel issue, but the real governance issue is whether the actor can prove authorised intent at the point of purchase. Without that, merchant controls will keep optimising for session legitimacy while missing delegated misuse. For practitioners, the control boundary now sits between the shopper, the agent and the merchant.
A question worth separating out:
Q: What should teams do when agentic commerce creates chargeback and dispute risk?
A: Teams should preserve evidence about the agent, the shopper’s original instruction and the policy context of the purchase before disputes arise. That includes order provenance, any confirmation steps, and changes made after checkout. Clear evidence shortens investigation time and helps distinguish fraud from consumer confusion.
👉 Read our full editorial: Agentic commerce is reshaping checkout, fraud and identity signals
