Traditional cloud security tools are ill-equipped for AI workloads using the Model Context Protocol (MCP), which creates new attack surfaces including tool poisoning, indirect prompt injection, and puppet attacks. A 4D security framework is proposed covering behavioral analysis, scale, active defense, and data integrity. The post also covers quantum-resistant encryption using lattice-based cryptography to counter 'harvest now, decrypt later' threats, and granular policy enforcement with contextual permissions and parameter locking to keep AI models operating within safe boundaries.
Table of contents
Why traditional cloud security is failing ai workloadsThe rise of mcp and the new attack surfaceImplementing a 4D security framework with Gopher SecurityQuantum resistant encryption and the future of dataGranular policy enforcement and access controlSort: