dwaar use cases By industry

SaaS

Secure every AI feature without slowing every product team.

SaaS companies are embedding copilots, support agents, analytics assistants, and administrative automation across multi-tenant products. Each feature introduces new paths to customer data and privileged actions.

By industry SaaS Selected use case
dForge
Test before launch

Tests tenant isolation, retrieval poisoning, privilege escalation, secret exposure, administrative tool misuse, and unsafe model or workflow changes.

dFence
Enforce at runtime

Enforces tenant, account, role, data, and tool boundaries on every runtime request.

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

Test the failure paths. Enforce the intended path.

SaaS companies are embedding copilots, support agents, analytics assistants, and administrative automation across multi-tenant products. Each feature introduces new paths to customer data and privileged actions.

dForge / Before deployment

Find how the workflow can be manipulated.

Tests tenant isolation, retrieval poisoning, privilege escalation, secret exposure, administrative tool misuse, and unsafe model or workflow changes.

dFence / At runtime

Keep live actions aligned with intent.

Enforces tenant, account, role, data, and tool boundaries on every runtime request.

Example

A security decision in context.

A user asks an analytics copilot to summarize activity in their workspace. A poisoned document instructs it to query another customer's tenant. dFence blocks the cross-tenant request before the database tool is called.

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.