JuHeng

AIGC Content Security Platform

Connect content review, policy decisions and ongoing operations

JuHeng is a content security platform and security gateway for large-model applications and AIGC businesses. It unifies content moderation, policy operations, human review, and model-call protection — helping enterprises keep compliance baselines, reduce content risk, and improve handling efficiency as generative AI goes into production.

Use cases

For content review and generative content operations

Assistants & Service

Input/output protection for customer service, enterprise assistants, and knowledge QA

AIGC Production

Pre-publish moderation and risk handling for AIGC content platforms

Unified Platform

Unified content security platform and policy ops across business lines

LLM Access Gateway

Auditable, reviewable, privately deployable LLM access gateways

Content security workflow

Sense — Decide — Operate — Gateway · Configurable / Auditable / Private

Problems We Solve

LLM and AIGC apps face risks on both input and output — sensitive content, adversarial bypass, prompt injection, and privacy leakage. Traditional after-the-fact manual review cannot keep up with real-time dialogue and multimodal content. JuHeng uses a layered architecture of Sense — Decide — Operate — Gateway so security is configurable, auditable, and privately deployable.

Sensitive ContentInput & output risks
Adversarial BypassLocal hard constraints
Prompt InjectionGateway-side blocking
Privacy LeakagePolicy & audit loop

Sense
Multimodal risk detection
Decide
Policy orchestration
Operate
Review & sample loop
Gateway
Model-call protection

Sense — Decide — Operate — Gateway · Configurable / Auditable / Private

LLM Security Gateway Path

Change the Base URL only to connect input review, upstream model calls, output review and policy actions.

Input Review
Review before upstream; violations never call the model
Upstream Model
Allowed traffic forwarded to your chosen LLM
Output Review
Review model replies across multimodal risks
Policy Action
Allow / review / substitute / block by policy

Product capabilities

Multimodal Content Risk Sensing

Risk detection for text, images and more — optionally connected to cloud content security, with local hard constraints such as redline engines, sensitive terms, and adversarial preprocessing to reduce misses and bypass.

Intelligent Policy Orchestration

Configure allow, review, substitute-answer, and block actions by tenant, scenario, and risk type. Supports policy versions, publish, rollback and canary; redline policies are mandatory — critical paths cannot be “trial-allowed”.

Closed-Loop Operations Console

Security posture overview, audit streams, review workbench, sampling of allowed traffic, dual-person review, sample feedback and evaluation gates — so policy iteration has data, process, and clear ownership.

LLM Security Gateway

Console secure chat and OpenAI-compatible APIs. Business systems only need to change the Base URL to connect input review, upstream model calls, output review and policy actions. Violating inputs never call upstream, cutting waste and risk spread.

Enterprise Delivery

Multi-tenant, API Key auth, daily quotas, runtime metrics and private deployment — fit for enterprise intranet and compliance controls.

Product Value

Hold the Line: Redlines and mandatory policies first — critical risks can be hard-blocked
Raise Efficiency: Auto review + human review together, cutting full-manual cost
Operable: Policies, lexicons, lists and sample feedback form a continuous loop
Easy Integrate: Standard moderation APIs and OpenAI-compatible gateway
Ready to Ship: Full path from local demo to commercial private deployment

Deployment & services