Map your retail AI footprint
Identify supported applications, models, data sources, and tools across customer-facing and internal workflows.
Retail & e-commerce AI security
Bring retail AI into view and under control
Discover the AI applications and AI agents your teams use. Test how they handle sensitive data, untrusted content, and connected tools, then apply guardrails to supported production interactions.
The challenge
Retail AI reaches across data, content, and business systems
AI is moving into customer experiences and internal operations. Each connection creates a new path for untrusted content, sensitive information, or tool access to cross a boundary your business depends on.
The Repello approach
Inventory maps supported AI applications and their data and tool connections. ARTEMIS tests the behavior of connected browser and API workflows. ARGUS applies configured policies to supported production interactions. Commerce systems remain responsible for identity, payments, pricing, and transaction approval.
How Repello helps
Test the application, not just the model
Challenge connected experiences for prompt injection, sensitive-data exposure, and unintended tool use.
Apply controls during live use
Configure ARGUS guard policies for supported interactions while business systems retain their own authorization controls.
Track findings through to resolution
Review attack evidence and policy outcomes, address the underlying weakness, and retest when a workflow changes.
What Repello gives your team
Make AI security part of retail operations
Give security and application teams a shared view of what is connected, what can go wrong, and which controls acted.
Find exposure before rollout
- Map the data and tools a supported AI workflow can reach.
- Test for malicious instructions, inappropriate disclosure, and unsafe actions.
- Give owners reproducible findings and mitigation guidance.
Maintain control after launch
- Apply configured policies to supported live AI interactions.
- Distinguish a detected event from a blocked one.
- Retest as content, models, tools, or permissions change.
Frequently asked questions
Questions about retail AI security.
Which retail AI systems can Repello assess?
Inventory maps supported applications and their data and tool connections. ARTEMIS can test connected customer-facing or internal AI through a browser interface or API. The systems in scope depend on your integrations and the workflows you authorize for testing.
What kinds of risks can we test?
ARTEMIS can challenge a supported application with prompt injection, sensitive-data disclosure objectives, and unsafe tool-use attempts. A product page, support article, or other retrieved content can be included when it is part of that workflow.
Can we test customer-data boundaries without using real records?
Yes. Separate test identities and synthetic records can model the access boundary. ARTEMIS tests what the connected application reveals; the application and commerce systems must still enforce identity and authorization.
How do guardrails work after an application goes live?
ARGUS applies configured policies to supported connected AI interactions and records the outcome. Review whether an event was flagged or blocked, then tune the rule and retest the workflow as it changes.
Does Repello replace retail transaction or fraud controls?
No. Repello helps discover, test, and guard AI behavior. Payment, pricing, fraud, fulfillment, and refund authorization remain in the underlying commerce systems and responsible teams.
When should retail teams reassess an AI workflow?
Retest after a fix or a material change to prompts, retrieval, data access, models, or tools. Review current inventory context and runtime events rather than relying on an earlier assessment alone.
See Repello in action
Get a personalized Repello demo.
Bring an AI application your retail team is building or running. See its connections, test the risks that matter to your business, and review the controls available during live use.