AppSentinels observes AI-triggered execution by monitoring how agents, tools, and sub-agents interact with APIs and backend services in live environments, so guardrails are applied where real impact occurs.
Define guardrails for AI-driven actions based on action type, data sensitivity, environment context, and risk signals from posture assessment and red-teaming.
When AI behavior deviates from expected patterns, AppSentinels supports responses such as alerting teams, flagging actions for review, or constraining specific execution paths—without abruptly stopping AI systems or breaking workflows.
Runtime guardrails align with enterprise security infrastructure and AI development ecosystems, including agent development kits and frameworks (at execution boundaries), API gateways, SIEM/SOAR platforms, and existing application workflows, without coupling enforcement to specific models or frameworks.
