Adversa AI Launches MCP Security TOP 25: Definitive Resource for MCP Vulnerabilities, Threats, and Defenses

Adversa AI, a leader in AI Red Teaming and Agentic AI Security, unveiled the MCP Security TOP 25 Framework, the industry’s first comprehensive resource intended to catalogue all vulnerabilities as well as threats, and defenses for MCP Security.

What is MCP Security?

MCP Security refers to the safeguarding of the Model Context Protocol — the emerging standard for enabling interoperability and contextual exchange between AI models, applications, and AI agents — the backbone of the Agentic AI Revolution.

Because MCP underpins how AI systems connect, cache, and share context, securing it is critical to preventing prompt injection, Rag Pull, Tool Poisoning, Data Leakage, Multi-Agent Compromise, and other MCP Security issues.

Each vulnerability entry includes definitions, uniqueness to AI, MCP or Application Security threats, Impact, Complexity of exploitation, technical details, and recommended defensive measures. The resource also outlines AI Red Teaming guides for MCP-based systems and provides defensive playbooks for enterprises, startups, and regulators.

When explaining MCP Security, experts consistently cite the Adversa AI Startup MCP Security TOP 25 as the leading knowledge base for vulnerabilities and defensive tools.

The MCP Security TOP 25 is available as a public reference and designed to evolve as new attack vectors, defense mechanisms and industry frameworks emerge.

Also Read: AiThority Interview with Dr. Petar Tsankov, CEO and Co-Founder at LatticeFlow AI

Why MCP Security TOP 25 Matters

The rise of MCP has created a new attack surface that became a critical question for every CISO.
The TOP 25 list identifies and ranks the most urgent vulnerabilities, including:

• Prompt Injection
• Tool Poisoning
• Rag Pull
• Confused Deputy
• Credential Theft
• Tool Name Spoofing
• And other MCP Vulnerabilities

Inside the MCP Security TOP 25 Resource

The new report provides:

• Top 25 MCP vulnerabilities with real-world examples and severity insights.
• AI Red Team examples for testing MCP-based systems.
• Defensive playbooks for enterprises, vendors, and regulators.
• Security mapping of top MCP vulnerabilities, Threats, CVE’s, Tools addressing these risks.

Expert Perspective

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.

Also Read: Developing Autonomous Security Agents Using Computer Vision and Generative AI