Enterprise Governance AI
AI governance that inspects every input to your AI — prompts, files, images, code — before it reaches any LLM.
How it works
Governance, risk, and compliance teams at banks and regulated enterprises use Enterprise Governance AI to answer the questions their boards are now asking: which employees are calling which AI models, what data is being shared, where are the policy gaps?
Engineers replace openai.chat.create(...) with interceptor.call(...). The call hits Enterprise Governance AI in your VPC first. Three safety layers run, decisions return in under 30ms, every call is logged with a full audit trail.
Highlights
Your data never leaves your VPC
All interception runs in your own AWS account. Prompts, responses, files, and images are stored in your S3 and RDS — never in ours.
Three safety layers at ~30ms
Prompt-injection detection, content-policy enforcement, and image analysis return pass/block/flag decisions in under 30 milliseconds. Deploys in 12 minutes via CloudFormation.
No-code policy editor + notebook investigation UI
Governance teams write custom rules without touching Python. Browse intercepted content in a Finder-style UI, investigate patterns in notebook-style sessions.
Deployment
One click from AWS Marketplace. A CloudFormation template provisions EC2, RDS PostgreSQL, S3 storage, IAM roles, and Security Groups — all inside your own VPC, under your own AWS account. Three instance sizes: Starter (t3.medium), Pro (t3.large), Enterprise (t3.xlarge). Software is free under BYOL; you pay only for the AWS infrastructure you provision.
Talk to us
Early access, private offers, or questions about deployment in regulated environments.