AI Memory Forensics & Data Remanence Audits for Defense Infrastructures

Context & Critical Blind Spot: As defense institutions and aerospace industries deploy sovereign, On-Premise Large Language Models (LLMs) to secure classified data, they face a critical, invisible vulnerability: Data Remanence in volatile memory (RAM). Standard software logs falsify security by validating "session erasure," while the underlying hardware frameworks (PyTorch, vLLM, Hugging Face) keep sensitive data in clear text within the RAM for extended periods.

Our Solution: The Canary Protocol Scanalis provides a high-velocity, non-intrusive forensic audit service. In less than 90 seconds, our proprietary "Canary Protocol" maps the AI process address space, executes targeted flash acquisition, and identifies residual data artifacts without altering the system's operational integrity.

Deliverables & Value: We deliver an automated, certified cryptographic report (SHA-256 sealed) mapping all memory isolation leaks. We enable defense contractors, RSSIs, and military IT infrastructure to validate true data amnesia, achieving military-grade compliance with the EU AI Act and NIS2 directives before any state-level audit.