AgentShield FAQs

Question 1

Can AgentShield scan external components like other MCP servers or tools?

Accepted Answer

Yes, AgentShield is designed to assess other MCP servers and their exposed tools for security risks and vulnerabilities, providing a comprehensive security layer for your AI ecosystem.

Question 2

What specific AI security threats can AgentShield detect?

Accepted Answer

AgentShield detects a wide range of threats including injection attacks (jailbreaks, prompt injection) in user inputs, data leakage, Personally Identifiable Information (PII), and harmful content in model outputs. It also identifies risks like Server-Side Request Forgery (SSRF) and data exfiltration in API tool definitions.

Question 3

Is AgentShield easy to set up and use?

Accepted Answer

AgentShield offers a quick setup via npm or npx, requiring an API key for authentication. Once configured with your MCP client, you can simply ask your AI assistant to perform security scans using natural language commands.

Question 4

What is AgentShield and how does it work?

Accepted Answer

AgentShield exposes advanced AI security scanning as Model Context Protocol (MCP) tools. It allows any MCP-compatible AI client to actively scan prompts, model outputs, API tool definitions, and even other MCP servers for security threats and vulnerabilities.

Question 5

Which AI clients are compatible with AgentShield?

Accepted Answer

AgentShield integrates seamlessly with popular Model Context Protocol (MCP) clients such as Claude Desktop, Cursor, and Claude Code (CLI). You can easily configure it within these clients using environment variables and JSON configuration files.

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Características Principales

Casos de Uso

Características Principales

Casos de Uso