AI Security & Red Teaming for Retail

Retail AI runs at the front line of consumer data and payment flows, where PCI-DSS governs cardholder data and CCPA gives consumers real rights over their personal information. A support or shopping assistant takes open-ended input from millions of strangers, which makes prompt injection, account-takeover assistance, and abuse a daily reality rather than an edge case. Personalization engines and catalog systems can be poisoned to manipulate pricing or recommendations, and peak-scale traffic turns a small leak into a mass exposure. We red-team your customer-facing and personalization AI for injection, leakage, and abuse, then harden it to protect cardholder and consumer data at peak volume.

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How we deliver it

AI Security & Red Teaming, built for retail

We threat-model around consumer and payment data: where PII and any cardholder context flows, and how untrusted shopper input reaches the model.

We run injection and abuse tests against support and shopping assistants, proving whether a shopper can extract another customer's data, manipulate orders, or assist account takeover.

We test personalization and catalog integrity, probing whether recommendations, pricing, or promotions can be poisoned through manipulated inputs.

We harden with input and output guardrails, PCI-aware data scoping, and monitoring that holds up under peak-season traffic.

Where it pays off in retail

Support-assistant abuse

We attempt to make a customer-service assistant leak another shopper's order or PII, or assist an account takeover, then close those paths.

Cardholder data scoping

We verify the assistant never surfaces or stores cardholder data outside PCI-DSS scope, even under crafted prompts.

Personalization poisoning

We probe whether recommendation or pricing models can be manipulated through poisoned signals to mislead shoppers or distort promotions.

Peak-scale resilience

We stress abuse and injection defenses at peak-season volume so a single flaw does not become a mass data-exposure event.

Retail clients close customer-data leakage and abuse paths before peak season and keep cardholder data inside PCI scope, protecting consumers and CCPA obligations at scale.

Retail AI, answered

Your assistant takes free-form input from anyone, so a shopper can craft a prompt that tries to pull another customer's order details, PII, or assist an account takeover. We run those attacks ourselves to find what works, then harden the assistant so the same inputs fail.

Yes. We test that cardholder data stays inside PCI scope and that consumer PII cannot be extracted or mishandled, which maps directly to PCI-DSS and CCPA obligations. The hardening and logging give you evidence the AI respects both.

We design abuse and injection testing to reflect peak-scale traffic, because that is when a small flaw becomes a mass exposure. We verify guardrails and monitoring hold up at volume, not just in a quiet staging environment.