AgentCon 2025: SUPERWISE live demo
Watch the SUPERWISE AgentCon 2025 demo of AI guardrails that prevent data leakage and protect sensitive data in production agent workflows.
What's in this video
- This event recording comes from AgentCon 2025.
- The live demo follows an agent workflow with AI guardrails.
- It shows controls responding to sensitive data in a production-style flow.
Frequently asked questions
Topics from this video and why governed AI matters.
- How do guardrails prevent medical data leakage?
- Guardrails block or strip PII and PHI before they reach the LLM. In the demo, a medical guardrail agent sits between the user and the model so patient-identifiable data never touches the model. SUPERWISE enforces that at the platform layer.
- Why use separate knowledge bases for medical content and patient data?
- Separating general medical knowledge from live patient records lets you answer clinical questions without exposing PHI. SUPERWISE connects both to the agent while guardrails ensure patient data never leaks into answers or training.
- What does the AgentCon medical demo show?
- A simple assistant connects to medical knowledge and synthetic patient records. Queries like “common symptoms of asthma” or “how many patients have hypertension” are answered safely. With real data you must use a privately hosted model and HIPAA-aligned setup.
- Why is governed AI non-negotiable for medical LLMs?
- Medical data leakage breaks HIPAA and trust. SUPERWISE guardrails and auditability ensure that only safe, compliant outputs leave the system and that every decision is traceable for compliance.
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