The High-Liability Gap
For 90% of users, Cloud AI is fine.
For the other 10%—healthcare, finance, and R&D—data egress is a fireable offense.
The IP Leak
Semiconductors & R&D
The Incident:"In 2023, engineers at a major tech firm pasted proprietary source code into a public LLM to optimize it. That code is now part of the model's training data, potentially accessible to competitors."
The Engram Fix:Engram indexes local repositories (Git) and runs Llama 3 on-device. Your IP never leaves the localhost loop.
The M&A Breach
Legal & Finance
The Incident:"Mergers & Acquisitions rely on strict confidentiality. Uploading a 'confidential_balance_sheet.pdf' to a cloud PDF parser for summarization violates NDA terms instantly."
The Engram Fix:Engram parses PDFs locally using pypdf — no cloud upload. The vector database (Qdrant) lives on your encrypted SSD. Note: scanned image-only PDFs are not yet supported.
The HIPAA Violation
Healthcare
The Incident:"Doctors need AI to draft patient notes, but inputting PII (Personally Identifiable Information) into a web prompt violates HIPAA and GDPR compliance regulations."
The Engram Fix:Engram processes notes locally. No data packet leaves the machine during inference — eliminating the specific data-egress risk that triggers HIPAA exposure. Your organization's compliance program still applies; Engram removes one major attack surface.
The Architecture of Trust
Comparing the data lifecycle of a standard Cloud LLM vs. Engram.
The "Air-Gap" Guarantee
True security isn't about better encryption keys; it's about physics. If the wire is cut, the data cannot leak.
Engram is designed to function fully on a machine with Wi-Fi disabled. Once the initial model weights (4GB) are downloaded, you can physically disconnect your device and perform RAG (Retrieval Augmented Generation) on unlimited documents.
View the Network Architecture →