Python: Security: OWASP Agent Memory Guard for Semantic Kernel memory protection

Feature Request: Memory Security Integration

Hi Semantic Kernel team,

Semantic Kernel is Microsoft's premier framework for building AI agents and copilots. As SK agents increasingly use memory stores (volatile, semantic, episodic), memory poisoning is an emerging security concern for enterprise deployments.

The threat: Malicious content injected into SK memory stores can silently bias agent behavior across sessions — a persistent, hard-to-detect attack vector.

OWASP Agent Memory Guard is the reference implementation for OWASP ASI06 (Memory Poisoning) in the OWASP Top 10 for Agentic Applications:

• Runtime scanning of memory reads/writes for injection payloads, secret leakage, and structural tampering
• SHA-256 integrity baselines to detect post-write tampering
• Policy-driven enforcement (block / warn / strip)
• Sub-100μs overhead

pip install agent-memory-guard

GitHub: https://github.com/OWASP/www-project-agent-memory-guard
PyPI: https://pypi.org/project/agent-memory-guard/

As a fellow Microsoft engineer working on AI security, I'd love to explore adding this as a recommended security layer in SK's memory pipeline or as a featured integration in the SK documentation.

Start by reviewing Semantic Kernel's memory pipeline and the linked OWASP Agent Memory Guard project and PyPI package. Determine whether the intended outcome is a recommended integration or a documentation entry, then define acceptance criteria for memory scanning, integrity checks, and block, warn, or strip policies.