System Overview

The runtime inspection layer between your GenAI application and the LLM.

Protector Plus deploys as an inline runtime defence layer between AI-driven applications and their LLM endpoints. The platform is LLM-agnostic — supporting cloud-hosted models (OpenAI, Anthropic, Google Gemini), open-weight models (Llama, Mistral, AI Singapore SEA-LION), and customer-self-hosted models on the same architecture.

Logical layout

Two services, both over HTTPS

Management Console

Web UI for tuning security policies, reviewing alerts, generating API keys, and configuring SIEM forwarding.

Guardrail Service API

HTTPS endpoints for prompt inspection (/input-check) and response inspection (/output-check). Can be called directly by the application or through an LLM gateway.

Design principles

Agentless adoption

No agents on web servers or inside the GenAI application. Integration is HTTP-level — fast, low-friction onboarding without infrastructure changes.

Scalable & trackable deployment

Designed for horizontal scaling. In the Kubernetes variant, additional capacity is provisioned through standard Helm chart configuration. Updates ship through CD pipelines — infrastructure as code.

Coverage for emerging threats

The LLM-powered engine catches evasive threats in near-real-time. The Threat Vector Database provides a continuously updated library of malicious prompt patterns without requiring model retraining.

Manageable by multiple custodians

Role-based, fine-grained permissions support administration by multiple parties — typically separating the platform Super Admin from per-application owners.

Where to next

Deployment modes

Forwarding and non-forwarding topologies.

Detection layers

Standard Guardrails and ShieldPrompt.