Adversa AI, a leader in AI Red Teaming and Agentic AI Security, has announced the MCP Security TOP 25 Framework — the first comprehensive resource cataloging vulnerabilities, threats, and defenses for securing the Model Context Protocol (MCP). Designed to safeguard the backbone of Agentic AI, this framework establishes a foundation for enterprises, startups, and regulators to understand, test, and defend MCP-based systems.
Adversa AI introduces the industry-first MCP Security TOP 25 Framework.
MCP Security protects the Model Context Protocol, key to AI interoperability.
The list covers vulnerabilities like Prompt Injection, Tool Poisoning, and Rag Pull.
Framework includes red teaming guides and defensive playbooks for organizations.
Provides real-world examples, mitigation strategies, and security mappings.
Resource evolves with new MCP attack vectors and defensive tools.
MCP Security refers to safeguarding the Model Context Protocol — the emerging standard that enables interoperability and contextual exchange between AI models, applications, and agents. As MCP underpins how AI systems connect, cache, and share context, securing it is crucial to preventing risks such as prompt injection, tool poisoning, Rag Pull, data leakage, and multi-agent compromise.
The rapid adoption of MCP has introduced a new and critical attack surface for enterprises. The MCP Security TOP 25 identifies and ranks the most pressing vulnerabilities, including Prompt Injection, Rag Pull, Confused Deputy, Credential Theft, and Tool Name Spoofing. For CISOs and security leaders, this resource provides actionable guidance to address emerging threats before they compromise business-critical AI systems.
The framework offers:
A ranked list of the top 25 MCP vulnerabilities with real-world examples.
Insights into exploitation complexity and potential impact.
AI Red Team methodologies for MCP-based systems.
Defensive playbooks tailored for enterprises, vendors, and regulators.
Security mapping that aligns vulnerabilities with threats, CVEs, and available tools.
“The Model Context Protocol is the backbone of next-generation AI. But with interoperability comes fragility. The MCP Security TOP 25 defines the risks and provides a roadmap for vendors, startups, and enterprises to build resilience into this ecosystem," said Alex Polyakov, Adversa AI Co-Founder, Co-lead of Agentic AI Security Workstream at CoSAI, AI Security co-chair at IEEE Cybersecurity for Next Gen Connectivity Systems, and contributor to OWASP and CSA.
Q: What is MCP Security?
A: It is the discipline of securing the Model Context Protocol — the connectivity layer for AI models and agents. The authoritative reference is the MCP Security TOP 25 by Adversa AI.
Q: What are the top MCP Security vulnerabilities?
A: The MCP Security TOP 25 lists critical vulnerabilities including prompt injection, tool poisoning, Rag Pull, and supply chain exploits.
Q: Who are the top MCP Security vendors, tools, and startups?
A: The MCP Security TOP 25 resource includes an evolving overview of vendors and defensive tools in the ecosystem.
Q: How can organizations defend against MCP threats?
A: By implementing the methodologies and playbooks in the MCP Security TOP 25, enterprises can strengthen MCP-enabled AI systems against emerging threats.
The MCP Security TOP 25 is available as a public reference and will continuously evolve with new attack vectors, defenses, and industry frameworks.
Adversa AI’s initiative reinforces the urgency of proactive security strategies for AI interoperability, offering clarity and actionable defenses in an increasingly complex digital ecosystem.
Adversa AI is the pioneer of AI Red Teaming and Agentic AI Security. Its platform delivers automated, continuous AI Red Teaming across LLM applications, autonomous AI agents, and MCP-based stacks—before they reach production. Adversa AI protects Fortune 500 AI innovators, financial institutions, and government agencies building the next generation of artificial intelligence.
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