Posts about MCP
Articles about MCP from the GuardionAI team — AI agent security, runtime governance, and AI safety.
- AI Security in 2026: What Changed, What Didn't, and What's Coming Next
An analysis of the AI threat landscape in 2026, comparing predictions from 2025 to reality, and how agentic systems have shifted the security paradigm.
- AI SSRF Attacks: How Malicious MCP Servers Expose Your Internal Network (And How to Stop It)
Learn how AI agents and malicious MCP servers expose your internal networks to SSRF attacks, and how to stop them using an AI Security Gateway.
- AI Observability, Monitoring & Incident Response: A Definitive Guide for Agentic Systems
How to monitor AI agents in production, detect anomalies with real-time metrics, and execute an incident response playbook from detection to containment.
- Guardrails vs. Hard Boundaries: The Philosophy of AI Security
Why probabilistic guardrails aren't enough for AI agents, and how network-level hard boundaries deliver verifiable runtime security.
- How Jira Tickets, Pull Requests, and Docs Become AI Exploit Vectors
Discover how AI agents reading Jira tickets, GitHub PRs, and internal docs can be exploited via indirect prompt injection, and how to secure developer workflows.
- Model Context Protocol (MCP): Understanding Security Risks and Controls
A deep dive into the security risks of the Model Context Protocol (MCP), including confused deputy attacks, SSRF, and token passthrough, along with best practices for mitigation.
- Securing AI Plugin Ecosystems: Lessons From OpenClaw, GPT Store, and MCP Marketplaces
As AI agents increasingly rely on third-party plugins and MCP tools, the attack surface expands exponentially. Learn how to secure your AI ecosystem against prompt injection, tool poisoning, and malicious execution.
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