dwaar use cases By industry

Fintech

Give financial agents autonomy with transaction-level control.

Financial agents support customers, review applications, investigate fraud, reconcile accounts, and access highly sensitive financial systems. Their actions must remain explainable, scoped, and auditable.

By industry Fintech Selected use case
dForge
Test before launch

Probes hallucinated advice, prompt injection in statements and documents, account-data exposure, workflow manipulation, and unauthorized transactions.

dFence
Enforce at runtime

Applies organization-wide and agent-specific policies before access to payment, banking, CRM, and account tools.

Intent + context One security model across the agent lifecycle
Fintech in practice

Test the failure paths. Enforce the intended path.

Financial agents support customers, review applications, investigate fraud, reconcile accounts, and access highly sensitive financial systems. Their actions must remain explainable, scoped, and auditable.

dForge / Before deployment

Find how the workflow can be manipulated.

Probes hallucinated advice, prompt injection in statements and documents, account-data exposure, workflow manipulation, and unauthorized transactions.

dFence / At runtime

Keep live actions aligned with intent.

Applies organization-wide and agent-specific policies before access to payment, banking, CRM, and account tools.

Example

A security decision in context.

A banking support agent is asked to explain a disputed charge. An injected document tells it to issue a refund to a different account. dFence detects that the payment action does not match the customer's request and blocks it.

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.