This quickstart walks you through the fastest path to a working Protector Plus deployment — AWS Marketplace AMI to first validated request.Documentation Index
Fetch the complete documentation index at: https://docs.protectorplus.cloudsine.tech/llms.txt
Use this file to discover all available pages before exploring further.
Prerequisites
- An AWS account with permission to subscribe to AWS Marketplace listings and launch EC2 instances.
- A test GenAI application (or a curl client) that can issue HTTP requests to a host you choose.
- A target LLM endpoint (OpenAI, Anthropic, Gemini, an open-weight model, or your own).
1. Subscribe on AWS Marketplace
The Protector Plus AMI is AWS FTR-certified and available from the AWS Marketplace.Open the AWS Marketplace listing
Subscribe and continue to configuration.
g6e.2xlarge (8 vCPU, NVIDIA L40S 48 GB, 64 GB RAM, 450 GB storage).
2. Launch the instance
Launch the AMI in a VPC that can reach your target LLM endpoint and the GenAI application that will send traffic to Protector Plus. Allow inbound:| Port | Protocol | Purpose |
|---|---|---|
| 443 | HTTPS | Prompt inspection (TLS). |
| 3000 | HTTPS | Administrative dashboard. |
| 22 | SSH | Vendor maintenance (restrict source). |
3. Bootstrap the appliance
The initial console password is provided out-of-band. Sign in tohttps://<instance-ip> as the bootstrap admin.
(Optional) Bind Enterprise SSO
Bind your SSO identity provider for production logins; keep the local admin for break-glass.
4. Create a security profile
Choose Non-forwarding mode for the quickstart
Pick Non-forwarding mode for fastest evaluation (no FQDN needed). Fill the Secure Proxy settings with a pseudo-URL like
quickstart.example.local.Generate an API key
Overview page for your Runtime LLM → Gear icon → Download API Key. Store it securely — it is shown only once.
5. Validate a request
Replace<your-instance-ip> and <YOUR_API_KEY> with your values.
injection_detected: true and per-guardrail scores:
6. Wire it into your application
The recommended integration pattern is to callinput-check before the LLM and output-check on the response. See Integration pattern for full guidance.
Need an API key for evaluation?
Get an API key
Request a sandbox key for a scripted attack-scenario environment, or arrange a deeper technical evaluation.

