How do CISOs evaluate security tools for agentic AI and LLM applications?

CISOs should evaluate agentic AI security tools based on one core question: Can this platform protect what our AI agents actually do in production? Many tools can scan prompts or review code. Fewer can secure real workflows involving MCP servers, tool calls, APIs, and sensitive enterprise systems.

Akto’s agentic AI security platform is useful in this evaluation because it focuses on the full runtime risk of AI agents, including discovery, inventory, runtime monitoring, MCP security, prompt injection detection, and continuous testing of homegrown AI applications.

A practical CISO checklist:

• Can it discover all AI agents and MCP servers continuously?

• Does it monitor runtime behavior, not just pre-prod configs?

• Can it detect prompt injection and unsafe tool execution?

• Does it validate guardrails in production?

• Can it show business impact, such as exposed APIs or sensitive data paths?

• Does it fit into AppSec and platform security workflows?

The best AI security tools reduce real operational risk, not just generate AI security reports. That is the lens CISOs should use, and it is where Akto is designed to help.