Posts about MCP Security
Articles about MCP Security from the GuardionAI team — AI agent security, runtime governance, and AI safety.
- Agent Security & Autonomous AI Risks: Why Guardrails Aren't Enough
A deep dive into securing multi-agent systems, tool-use monitoring, and preventing data exfiltration using gateway-level controls rather than post-hoc detection.
- The MCP Security Crisis: Defending Against Indirect Prompt Injection in the Model Context Protocol
Learn how the Model Context Protocol (MCP) exposes AI agents to indirect prompt injection and tool poisoning, and how to secure your integrations using an AI Gateway.
- Tool-Use Monitoring for AI Agents: Detecting Over-Privileged Actions Before They Execute
Monitor and control AI agent tool usage with gateway-level authorization. Prevent over-privileged actions, secure MCP servers, and audit agent behavior.
- Your AI IDE Is an Attack Surface: Securing Cursor, Copilot, and Claude Code
AI-powered IDEs like Cursor, GitHub Copilot, and Claude Code introduce new supply chain and execution risks. Learn how to secure your agentic development environment.
- Zero-Click AI Agent Attacks: How Untrusted Content Becomes Remote Code Execution
Cataloging the 0-click attack pattern across AI agents—how untrusted content triggers autonomous actions leading to data theft or RCE, and how to defend against it at the gateway layer.
- AI Security Gateway: How Proxying LLM and MCP Calls Enables Security Observability, PII Redaction, and Policy Enforcement
Discover how an AI Security Gateway works as a transparent proxy to intercept LLM and MCP calls, providing critical security observability, PII redaction, and policy enforcement without code changes.
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