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- AnonymeLLM RAM Forensic Audit - Post-Purge Residue Detection · Digital Health SectorBIOTECHMarch 2026 - March 2026Rennes, FrancePublisher of a medical AI solution deploying an on-premise LLM for patient data processing.Execution of the Canary Protocol: injection of 8 cryptographic tokens targeting health data categories (Art.9 GDPR), patient identifiers, contact information. Triggering of the declared system purge procedure. Forensic scan of the 4 memory zones. Duration: 5 days.AMNESIA_FAILED: 3/8 tokens detected in RAM.Residues located in the Python application heap and Linux page cache. Exact memory addresses documented in the report. Exposed category: health data (tokens 2, 5, 7). Residues persisted 22 minutes after session closure and declared purge.Identified cause: the purge procedure called del() on Python session objects without physically overwriting bytes. The Linux page cache was not released via posix_fadvise().Habitable Phase 113-page forensic report, AMNESIA_FAILED verdict, hex dumps with memory addresses, IPE (Index of Probability of Exposure): 74/100.SHA-256 sealed, nominally signed. Transmitted to the CIO and DPO within 72 hours.Phase 2 Deliverable: RemediationTechnical correction specifications: implementation of SecureBuffer with ctypes.memset() 3 passes, page cache release via posix_fadvise(POSIX_FADV_DONTNEED), mlockall() configuration to disallow swap. Technical sheets provided for the client's exact stack.Return to Phase 4 after implementation of corrections for AMNESIA_CONFIRMED certification delivery.The client avoided an Art.9 GDPR health data exposure during the planned regulatory audit. Without this audit, the purge would have been presented as effective based solely on the DPA, without any physical proof.Python · RAM Forensic Analysis · Canary Protocol · ctypes · posix_fadvise · SHA-256 · Heap Analysis · Linux Page Cache
- AnonymeLLM RAM Forensic Audit - Offline Autonomous System · Tech SectorCONSULTING AND AUDITSFebruary 2026 - February 2026Auray, FranceClient from the technology sector deploying an LLM on sensitive data in an offline environment. Autonomous system without external network connection. The client had a declared purge policy but no means to verify its physical execution.Execution of the Canary Protocol in offline mode: injection of 8 cryptographic tokens via the system's local API, triggering the purge procedure, forensic scan of the 4 memory zones (application heap, page cache, swap, kernel buffers). Duration: 5 days.AMNESIA_CONFIRMED: 8/8 tokens purged.The system physically destroys data in all 4 zones. 13-page PDF report delivered, SHA-256 sealed, nominally signed. The client now has legally enforceable forensic proof for the CNIL and sector regulators that their purge procedure is physically effective.TechnologiesPython · RAM Forensics · Canary Protocol · SHA-256 · RSA-PSS · RAM Analysis
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