MCP Security Cheatsheet

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Solution Brief

Akto’s Agentic AI Security Risk Coverage

Akto’s Agentic AI Security Risk Coverage document provides a detailed overview of the AI Security Attack Matrix, featuring 10,000+ probes spanning model, runtime, and agentic layers.

It helps teams assess risks across LLM security, RAG integrity, AI safety and alignment, and agentic behavior, enabling enterprise-grade validation against modern threats such as goal hijacks, memory poisoning, model theft, and excessive autonomy.

Use this guide to:

  • Benchmark LLM and agentic security posture against OWASP LLM Top 10 and MITRE ATLAS tactics.

  • Understand adversarial strategies like prompt injection, data poisoning, and goal redirection.

  • Evaluate runtime protection, safety alignment, and governance readiness.

Download and learn how Akto protects MCPs, AI agents, RAG pipelines, and GenAI applications from real-world exploitation.

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A quick reference for security teams to understand MCP architecture, identify top threats, and follow a maturity model for securing agentic AI environments.

Akto Atlas Technical Implementation and How does it work?

Lightweight endpoint enforcement for safe AI and MCP usage.