dwaar use cases By industry

E-commerce

Stop manipulated agents from turning customer service into fraud.

E-commerce agents recommend products, answer questions, track orders, issue refunds, and update inventory. Attackers can manipulate these workflows to obtain discounts, access other accounts, or trigger unauthorized actions.

By industry E-commerce Selected use case
dForge
Test before launch

Tests refund fraud, coupon abuse, account takeover paths, recommendation manipulation, cross-customer leakage, and prompt injection in reviews or product content.

dFence
Enforce at runtime

Limits order, payment, refund, and inventory actions to the current customer and intended request.

Intent + context One security model across the agent lifecycle
E-commerce in practice

Test the failure paths. Enforce the intended path.

E-commerce agents recommend products, answer questions, track orders, issue refunds, and update inventory. Attackers can manipulate these workflows to obtain discounts, access other accounts, or trigger unauthorized actions.

dForge / Before deployment

Find how the workflow can be manipulated.

Tests refund fraud, coupon abuse, account takeover paths, recommendation manipulation, cross-customer leakage, and prompt injection in reviews or product content.

dFence / At runtime

Keep live actions aligned with intent.

Limits order, payment, refund, and inventory actions to the current customer and intended request.

Example

A security decision in context.

A customer asks an agent to track an order. Injected chat content tells it to refund a different order to a newly added payment method. dFence detects the mismatch and blocks the refund while allowing the legitimate tracking request.

One security model

The use case changes. The security loop stays the same.

For every agent, dwaar asks four questions: What is the agent supposed to do? Which data and tools should it reach? How could that workflow be manipulated? What should happen when its behavior drifts?

01

Define

Document the happy path, permitted tools, data boundaries, and approval points.

02

Test

dForge attacks the workflow before launch using context-specific prompt, tool-use, and multi-turn tests.

03

Enforce

dFence evaluates runtime intent before sensitive tool and MCP calls, then allows, blocks, constrains, redacts, or requests approval.

04

Improve

Turn verified findings and runtime events into stronger policies and repeatable security tests.

Build with control

Know where your agent can be misused before it goes live.

dwaar combines agent-specific adversarial testing with intent-aware runtime enforcement, helping teams deploy capable agents without relying on static scopes alone.