Deploying BeyondGuard follows a deliberate, layered sequence: start with Prompt Guard in Observation Mode to establish a threat baseline, then expand coverage guard by guard until you reach full enforcement across every layer of your AI stack. This approach ensures you have real data to tune policies before activating blocking behavior, minimizing disruption while maximizing protection.
Before You Begin
Make sure you have the following in place before starting the deployment process:
- A BeyondGuard account with access to the Control Plane
- A BeyondGuard API key issued for your organization
- An AI application or pipeline you want to protect — this can be a chatbot, an agentic workflow, a RAG pipeline, or any LLM-backed service
Deploy one guard at a time and allow each one to reach a stable, tuned baseline before enabling the next. Rushing to full coverage before tuning is complete can generate elevated false positive rates, eroding trust in the platform and creating alert fatigue for your security team.