Post-Quantum Cryptographic Agility for Distributed AI Inference Architectures

This article provides a practical overview of modern cloud security testing for cloud-native and AI-enabled systems, emphasizing detection and remediation of misconfigurations and "toxic combinations" (e.g., exposed storage plus over-privileged identities). It details emerging threats in the AI context—MCP/model-context attacks such as tool poisoning, prompt injection, shadow MCP servers and "puppet"/SSRF-like abuse—calls for post-quantum crypto readiness for long-lived sensitive data, and recommends graph-based CSPM, attack-path simulation, continuous scanning, policy-as-code and automated enforcement to reduce exploitability and business impact.