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.Documentation Index
Fetch the complete documentation index at: https://cloudsineai-5cd7c547.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
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
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
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
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
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.