AgentShield provides a runtime firewall that helps production AI agent teams block prompt injection and enforce permissions.
Production AI agents read untrusted text and act with real credentials, exposing teams to prompt injection, over-permissioned tool use, and missing audit evidence. AgentShield serves engineering and security teams running production agents with a stack-neutral runtime control plane that intercepts every instruction and tool call, inspects for injection and policy violations, and clears, blocks, or holds each action while recording it.
Unlike text-only guardrails that inspect model input and output, AgentShield governs what the agent does next through least-privilege permissions, human-approval gates, and an immutable audit trail. Against enterprise governance suites such as Zenity and platform add-ons such as Prisma AIRS, it holds an independent self-serve position as the enforcement layer in front of any agent stack.