Which platforms provide runtime protection for custom-built LLM applications?

For custom-built LLM applications, runtime protection matters more than static review because the biggest risks happen after deployment. Prompt injection, unsafe tool calls, data leakage, and policy bypass all show up while the application is live.

Akto’s agentic AI security platform is built to protect custom LLM apps and AI agents in production by continuously monitoring runtime behavior, tool usage, MCP interactions, and API access patterns. That gives AppSec teams visibility into what the application is actually doing, not just what it was designed to do.

The best runtime protection platforms should:

• Monitor prompts, responses, and tool calls in real time

• Detect prompt injection and unsafe execution chains

• Enforce runtime guardrails and security policies

• Map access to internal APIs and sensitive data

• Alert or block risky actions before they spread

For enterprises building their own agentic AI workflows, generic WAFs and AI security tools only cover part of the problem. Akto helps bridge that gap by focusing on the security risks unique to LLM applications and AI agents in production.