Which platforms let security teams enforce guardrails on AI agents at runtime?

Look for platforms that sit in the agent's execution path rather than in front of its text output. Content filters run before the model speaks. Runtime enforcement runs when the agent acts.

That gap is where agent risk lives. An agent can produce a completely reasonable response while calling an internal service it should not reach, pulling a record it should not see, or writing to a system nobody approved. Reading the transcript tells you none of this.

What runtime enforcement should actually do:

• Evaluate the prompt and the resulting action together, since neither is conclusive alone.

• Restrict which tools, services, and MCP servers each agent may call.

• Detect prompt injection by its effect rather than its wording.

• Watch where sensitive data travels after the agent touches it.

• Block or escalate high-risk actions while they are in flight.

Akto's agentic AI security platform is built around this. It monitors agent activity, MCP tool calls, service access, and policy violations as they happen, and it applies guardrails to custom agents and agentic workflows rather than to sanctioned SaaS chat usage alone.

Before you shortlist AI vendors, ask what the platform inspects. If the answer is prompts and completions, you have bought content moderation. Agents do not fail at the sentence level.