Tests unsafe recommendations, missed constraints, PHI leakage, prompt injection in clinical notes, and unauthorized access to patient systems.
Enforces purpose, role, patient, and tool boundaries while escalating sensitive or high-impact actions.
Healthcare
Healthcare agents support documentation, scheduling, patient communication, triage, and clinical operations. These workflows combine sensitive health data with decisions that require strict boundaries and human oversight.
Tests unsafe recommendations, missed constraints, PHI leakage, prompt injection in clinical notes, and unauthorized access to patient systems.
Enforces purpose, role, patient, and tool boundaries while escalating sensitive or high-impact actions.
Healthcare agents support documentation, scheduling, patient communication, triage, and clinical operations. These workflows combine sensitive health data with decisions that require strict boundaries and human oversight.
Tests unsafe recommendations, missed constraints, PHI leakage, prompt injection in clinical notes, and unauthorized access to patient systems.
Enforces purpose, role, patient, and tool boundaries while escalating sensitive or high-impact actions.
A scheduling agent is asked to move a patient's appointment. A malicious note instructs it to retrieve the patient's full medical record and send it externally. dFence permits the scheduling change but blocks access to and transmission of the unrelated clinical data.
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?
Document the happy path, permitted tools, data boundaries, and approval points.
dForge attacks the workflow before launch using context-specific prompt, tool-use, and multi-turn tests.
dFence evaluates runtime intent before sensitive tool and MCP calls, then allows, blocks, constrains, redacts, or requests approval.
Turn verified findings and runtime events into stronger policies and repeatable security tests.
Choose a use case to see its risks, adversarial tests, runtime controls, and security decisions in context.
dwaar combines agent-specific adversarial testing with intent-aware runtime enforcement, helping teams deploy capable agents without relying on static scopes alone.