What's in this video
- Connect a data source and create an agent with a prompt and knowledge base.
- Add input and output guardrails, then publish the agent.
- Send policy alerts to Slack and build an observability dashboard.
Frequently asked questions
Topics from this video and why governed AI matters.
Ungoverned AI can produce unreliable or harmful outputs. SUPERWISE guardrails are designed for using public models safely. SUPERWISE also supports privately hosted and open-source models so you can build sophisticated AI solutions that handle PII and PHI. You connect to a secure data source and add guardrails and policies so you control what the agent accesses and how it behaves. Trust comes from control and visibility.
docs.superwise.ai offers guides, tutorials, and API references for building agents, monitoring AI systems, and deploying with guardrails.
Guardrails and policies triple-check inputs and outputs before they reach users or systems. That reduces bad answers, data leakage, and compliance risk. Governed AI requires checks at runtime and during design.
Agentic AI automates decisions and workflows. Without governance, you cannot prove safety or compliance. SUPERWISE gives you guardrails, visibility, and documentation so you deploy agentic AI with evidence.




