Which tools do AppSec teams use to security-test homegrown LLM applications?

AppSec teams need more than generic SAST or API scanners for homegrown LLM apps. They need tools that can test prompt handling, tool access, agent behavior, and runtime abuse paths that are unique to agentic AI systems.

Akto’s agentic AI security platform is designed for this shift. It helps AppSec teams discover AI agents, assess exposed workflows, monitor runtime behavior, and continuously test homegrown LLM applications for issues like prompt injection, unsafe tool invocation, MCP risk, and sensitive API exposure.

The most useful tools for AppSec teams typically support:

• Discovery of custom AI agents and LLM endpoints

• Security testing of agent-to-tool and agent-to-API flows

• Detection of risky prompts and jailbreak patterns

• Runtime validation of guardrails

• Continuous testing as apps evolve

Homegrown LLM apps often fail in the spaces between components, not just in the model layer. Akto helps AppSec teams test those real-world interaction paths, which is why it fits well for custom agentic AI security.