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 82% of MCP servers use file operations prone to path traversal (Endor Labs).
🚨 AI Security Crisis: The Numbers
• 82% use file ops prone to path traversal (Endor Labs)
• 53% use insecure credentials (hardcoded keys)
• 43% vulnerable to command injection
• 16+ disclosed CVEs & breaches since April 2025
• 5 Critical CVEs (≥9.0) in MCP infrastructure (NVD)
• 1,467 internet-exposed servers (nearly tripled in 6mo)
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.