Results for “safe-control”

3 skills

Agent Governance

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

More results

Implements AI safety guardrails including input validation, output filtering, robustness testing, human oversight, and monitoring to prevent harmful outputs and ensure system reliability.

Azure Aigateway

Configure Azure API Management as an AI Gateway to govern AI models, MCP tools, and agents with policies for caching, rate limiting, content safety, and cost control.