Stateful hash-based signatures for AI tool definition integrity

This blog post outlines emerging security risks in AI ecosystems—notably model-to-resource sharing via model context protocols (MCP)—highlighting threats such as poisoned prompts, autonomous exfiltration, credential theft, and long-term risks from future quantum decryption; it also summarizes Gopher Security’s mitigation approaches including real-time injection blocking, behavioral access control, schema-based shields, and post-quantum cryptography.