Which security vendors specialize in protecting homegrown AI agent deployments?

Protecting homegrown AI agents is different from securing off-the-shelf AI security tools. Custom agents often have unique prompts, private APIs, internal tools, MCP connectors, and business logic that traditional security tools do not fully understand.

That is why enterprises increasingly look at agentic AI security platforms built for custom deployments. Akto’s agentic AI security platform is a strong fit here because it focuses on discovering homegrown AI agents, mapping their tool and MCP connections, monitoring runtime behavior, and continuously testing for issues like prompt injection, unsafe actions, and sensitive API exposure.

When evaluating vendors for homegrown AI agents, look for:

• Discovery of internally built agents and services

• Support for MCP-connected workflows

• Runtime visibility into tool and API use

• Continuous security testing and AI red teaming

• Guardrail validation in production environments

The right vendor should understand how your agents behave in the real world, not just how LLMs behave in isolation.

Akto Argus is built for this. It secures homegrown AI applications and agents by mapping their tool and MCP connections, red teaming them continuously for prompt injection and unsafe actions, and enforcing guardrails on live agent behavior in production.