AI Governance in Healthcare: HIPAA Requirements for LLM Applications
A guide to HIPAA requirements for LLM applications, covering the five paths PHI takes into model traffic and the gateway control for each.
AI Governance
Generative AI Governance for Enterprises: From Policy to Gateway Controls
A guide to mapping generative AI governance policy on acceptable use, data classification and vendor risk to enforced gateway controls.
Enterprise AI Guardrails for PII, Injection, and Toxicity
How enterprise AI guardrails check prompts and responses for PII, prompt injection, toxicity and leaked credentials, then block or redact them.
Enterprise AI Security: A Reference Architecture for Governing Model Traffic
A reference architecture for enterprise AI security, covering virtual keys, RBAC, SSO, guardrails and audit logs for model traffic.
What Is Granular Access Control?
TL;DR
* Granular access control defines permissions on individual resources, actions, and conditions instead of granting one broad role-wide permission across a whole system.
* For AI traffic, the resources being scoped are models, providers, MCP tools, budgets, prompts, and log rows, not just dashboard pages.
* RBAC answers what operations
AI Hallucinations in Regulated Workflows: Gateway Controls
TL;DR
* AI hallucinations in regulated workflows become compliance failures when model output enters a regulated artifact with no recorded controls.
* Bifrost applies guardrails to every prompt and response at the gateway, including Prompt Guardrails, an LLM judge that blocks responses violating a natural-language policy.
* No gateway certifies that
GenAI Security Governance: The Most Scalable Approach
TL;DR
* GenAI security governance scales when enforcement is centralized on the request path instead of reimplemented in every application.
* Per-application controls and shared SDK wrappers both require code changes and redeploys to propagate a policy change; a gateway applies it on the next request.
* Bifrost virtual keys and