⚡️ Semantic Sanitization & Hardware TEE Enclaves

Before any proprietary codebase snippet reaches external LLMs, the GitLab AI Gateway passes it through a deterministic local entropy filter. Internal IP addresses, API secrets, and sensitive identifiers are stripped and replaced with synthetic placeholders.

Payloads traverse an encrypted mTLS 1.3 tunnel with sub-14 ms overhead. Upstream inference executes inside Confidential Computing (TEE) enclaves, ensuring session RAM is cryptographically wiped immediately following generation.

📊 Enterprise Security & Compliance Specs

: 0 Days (Zero-Retention)

: 14.2 ms

: 100% (entropy scan)

: AMD SEV-SNP / Intel SGX

⚖️ Corporate Code Security Paradigm Shift

Было: Sending raw source files to third-party cloud APIs without sanitization ➔ Стало: Local secret masking and mTLS 1.3 tunneling into encrypted hardware enclaves

Было: Risk of private algorithms leaking into public LLM training corpuses ➔ Стало: Legally binding Zero-Retention SLA with cryptographic ephemeral memory destruction