TL;DR: Agentic shopping is moving from experimentation to near-term reality, and the article argues that merchants will face a sharper trade-off between customer control and traffic loss as AI assistants take over more purchasing steps. Riskified also reports LLM-referred traffic as 2.3x riskier in one ticketing example and 1.8x riskier in electronics.
Editorial analysis by NHI Mgmt Group, based on content published by Riskified: “Agentic AI: A dilemma for ecommerce merchants”.
Key questions
Q: What breaks when shopping is delegated to AI agents?
A: The main failure is that many fraud controls assume a human browser session will leave enough behavioural evidence to judge intent.
Q: Why do AI shopping agents create a fraud risk beyond normal e-commerce bots?
A: AI shopping agents create more risk because they can infer intent, combine signals across channels, and act with delegated authority rather than waiting for each user click.
Q: How should merchants prepare for agent-driven checkout flows?
A: They should define where agents are allowed to act, what authority each agent has, and which purchases require additional verification.
Practitioner guidance
- Define delegated purchase boundaries Specify which AI agents may browse, recommend, or complete purchases, and tie each permission to a narrow scope, merchant segment, or spend limit.
- Revise fraud models for low-signal checkouts Retrain detection logic to weight transaction context, account history, token provenance, and fulfilment anomalies when behavioural signals are missing.
- Treat agent tokens as governed credentials Inventory any tokenised credentials, spending tokens, or delegated access paths used by shopping agents and apply lifecycle controls that match their risk.
Bottom line: Agentic shopping shifts fraud risk from visible human behaviour toward delegated machine action, which weakens the assumptions behind many current ecommerce controls.
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Agentic commerce creates an intent-verification problem, not just a fraud-detection problem: when software can act on a user's behalf, merchants need to know whether the agent is authorised to purchase, not merely whether the transaction is technically valid. That pushes governance from session scoring into delegated-access policy. The merchant control plane becomes a trust boundary, and practitioners should treat purchase intent as a governed entitlement.
A few things that frame the scale:
- 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: Should merchants prioritise control or reach when agents drive traffic?
A: Merchants will need to balance both, but control should come first in high-risk categories. If teams accept agent traffic without clear policy boundaries, they may gain volume while losing visibility, fraud discrimination, and pricing leverage across the customer journey.
👉 Read our full editorial: Agentic commerce will reshape fraud and merchant control online