Cryptographically Agile Policy Enforcement for Contextual Data Access

**Executive summary:** This blog post explains the need for cryptographic agility when exposing contextual data to AI via Model Context Protocols (MCP), highlights risks like harvest-now-decrypt-later attacks, quantum threats (Shor's algorithm), indirect prompt injection and tool-poisoning, and recommends defenses including quantum-resistant KEMs, hybrid handshakes, granular parameter-level policy enforcement, identity-first controls, continuous observability, and contextual sanitization of inputs.