Blog

Engineering deep-dives, compliance guides, and AI operations best practices.

EngineeringMay 30, 2026· 5 min read

Why PII/DLP belongs at the gateway layer, not the application

Centralising PII redaction at the LLM gateway means every team is protected by default — no per-app implementation required. Here's how InferexGuard does it with zero added latency.

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SecurityMay 28, 2026

Tamper-evident LLM audit logs with SHA-256 chaining

A single SHA-256 hash over (prevID + newID) creates a chain that makes retroactive tampering detectable. We walk through the design of InferexGuard' audit-log plugin.

ComplianceMay 25, 2026

GDPR and LLMs: enforcing data residency without rewriting your app

Adding X-Data-Residency: EU to your request header is all it takes. InferexGuard' data-residency plugin filters provider fallbacks and blocks non-compliant routes at the gateway.

PromptOpsMay 22, 2026

Treating prompts like code: semver, deployments, and A/B testing

Prompts are production assets. They should be versioned, reviewed, and deployed the same way as code. InferexGuard' prompt registry brings Git-style workflows to LLM prompts.

FinOpsMay 18, 2026

Forecasting LLM costs with linear regression — a practical guide

Daily token spend has a surprisingly predictable trend. We explain the OLS forecaster inside InferexGuard' analytics service — 90% confidence bounds, no negative projections.

AnnouncementMay 15, 2026

Introducing InferexGuard: enterprise AI gateway on top of Bifrost

InferexGuard is an open-source enterprise layer built on Maxim's Bifrost — adding the six capabilities enterprises need most: PII/DLP, audit logging, data residency, cost analytics, compliance reports, and prompt management.