The fastest LLM gateway in the world

Guardrails

Redacting Sensitive Data in LLM Traffic with Google Model Armor and Bifrost

Redacting Sensitive Data in LLM Traffic with Google Model Armor and Bifrost

Most AI security tooling is built around a binary: a prompt is either allowed through or rejected. That works for an obvious attack, but it is a blunt instrument for the situation enterprises actually hit most often, which is legitimate work that happens to carry sensitive data. A support agent

Evaluating LLM Output for Quality, Safety, and Brand Voice with Patronus AI and Bifrost

LLM features in production fail in ways that classic guardrails are not looking for. A coding assistant returns JSON that looks valid and silently breaks the downstream pipeline that parses it. A customer support reply apologizes three times in five sentences and reads as defensive. A marketing draft names a

Bringing Enterprise AI Security to LLMs with CrowdStrike AIDR Guardrails and Bifrost

Secure your AI workflows with CrowdStrike AIDR Guardrails and Bifrost

See how Bifrost and CrowdStrike AIDR secure enterprise LLM traffic: AIDR handles detection, Bifrost enforces policy inline before any prompt reaches a model. Enterprise AI deployments run into the same set of security issues within a few months of going live. A support rep pastes a full customer record into

Guardrails at the Gateway: What Bifrost Ships and What It Integrates

Guardrails at the Gateway: What Bifrost Ships and What It Integrates

Introduction Every team running LLMs in production runs into the same surface area sooner or later. Prompt injection. PII leaking into a model provider's training pipeline. Credentials pasted into a chat by accident. Toxic or off-policy responses going back to a user. Hallucinated content quoted as fact.