LLM Security Vulnerabilities: A Developer's Checklist
While one-third of respondents said their organizations were already regularly using generative AI in at least one function, only 47% have established a generative AI ethics council to manage ethics policies and mitigate generative AI risks. This gap leaves organizations vulnerable to prompt injection attacks, data leakage, and unauthorized tool access—risks that can trigger HIPAA civil penalties of up to $50,000 per violation (with annual caps that vary by tier and are inflation-adjusted) or or GDPR administrative fines of up to €20 million (or 4% of global annual turnover, whichever is higher). The MintMCP Gateway addresses these challenges by providing centralized governance, OAuth protection, and real-time monitoring that transform local MCP servers into production-ready services with comprehensive security controls.
This checklist outlines actionable security measures across the LLM lifecycle—from implementing guardrails and securing tool integrations to establishing access controls and maintaining compliance—enabling developers to deploy AI systems that meet enterprise security standards.