AI Security Checklists
Revolutionary security checklists for AI systems, MCP servers, and AI agents. Based on analyzing emerging threat patterns and the critical reality that 40% of MCP servers have vulnerabilities.
🚨 AI Security Crisis: The Numbers
• 40% of MCP servers have security vulnerabilities
• 53% use insecure credentials (hardcoded keys)
• 43% vulnerable to command injection
• 9+ major MCP breaches since April 2025
• 16 minutes average time to AI system compromise
• 72.4% cascade rate between MCP servers
MCP Security
Comprehensive security checklist for Model Context Protocol (MCP) servers and AI agents covering tool poisoning, prompt injection, RCE prevention, and cross-server attacks.
LLM Application Security
Security checklist for LLM-powered applications covering prompt injection, data leakage, RAG poisoning, jailbreak prevention, agent security, and output validation.
AI Model Security
Security checklist for AI models covering model poisoning, adversarial attacks, model extraction, inference attacks, supply chain integrity, and deployment hardening.
Pioneering AI Security
Zealynx is at the forefront of AI security research. We analyze emerging threat patterns, breach case studies, and defensive techniques to create the industry's most comprehensive AI security checklists.
