Zentra Helix

Enterprise AI Application Security Gateway

Enable enterprises to embrace AI securely: a unified zero-trust control point for enterprise AI, MCP tools, and Agent behavior. It is not about prohibiting AI, but making AI controllable.

Zentra Helix is enterprise-grade AI trust infrastructure built around visibility, control, and accountability. It replaces fragmented, untracked Shadow AI and ungoverned AI usage while reducing data leakage risks and compliance costs.

Built on a unified governance brain (Go Gateway) and AI Security Engine, Helix covers four AI access paths into the enterprise: Web Chat, API Gateway, Agent Proxy, and Network Proxy. It helps enterprises establish a continuously evolving AI identity and data governance platform in the era of zero trust and widespread generative AI adoption.

AI Is Becoming the New Enterprise Workforce

This is not simply a tool upgrade; it is a transformation of the workforce structure. When AI evolves from a "tool" into a "workforce that can get things done," the questions change.

Write Code

Agents autonomously complete development tasks

Review Contracts

Document understanding enters core business processes

Respond to Customers

External communications are handled by AI

Make Decisions

Automated decisions affect real people

The Real Question Is Not Whether AI Is Powerful Enough, but How Enterprises Can Confidently Entrust Work to AI

The electrical revolution required power grids, fuses, and meters before the world could safely electrify. The AI workforce revolution requires AI trust infrastructure.

Visible · Controllable · Accountable

The layer that gives enterprises the confidence to entrust core business operations to AI

AI TRUST INFRASTRUCTURE

Behind Convenience and Efficiency,What Are We Overlooking?

The speed at which employees embrace AI should not come at the expense of enterprise trust

Every Day

Employees paste sensitive content into external AI services

With no record whatsoever

Most

Enterprises do not know which AI services are being used internally

Shadow AI cannot be inventoried

Zero

Audit trails that can be presented to regulators

Incidents cannot be traced

The Hidden Security Trap Behind Convenience: Core Enterprise Information May Already Be Leaking

AI has evolved from "talking" to "taking action." Employees upload confidential information, Agents directly operate systems, and AI gains system privileges through MCP — while traditional security tools cannot see it, stop it, or audit it.

Web-based AI

ChatGPT / Gemin

Paste text and upload files — the most common and the hardest to trace

Development Tools

Copilot · Cursor · Claude Code

Source code flows to external models through code completion and conversations

Embedded SaaS AI

M365 Copilot ·
Notion AI

AI inside workplace software processes data through third-party services

AI Agent

Agent + MCP + Tools

Agents automatically invoke tools, access data, and execute tasks

Enterprise-built AI

On-premises Models · RAG

Ollama / vLLM deployed internally — seemingly secure, but governance is still essential

Precision Protection Starts with the Scenario: Helix's AI Governance Map

One Path to Enterprise AI Security — Zentra Helix Governs It All

Self-hosted does not mean governance-free: personal data entering internal models still requires masking and audit trails. Helix applies differentiated policies to internal_ai (mask and allow rather than block) — native plaintext visibility enables cleaner governance.

Usage Scenario
Technical Model
Governance Path
Web-based AI (Paste / Upload)
External SaaS · HTTPS Traffic
Network Proxy Detection + Web Chat Guided Alternative
Development Tools / IDE
Programmatic Calls to External Model APIs
API Gateway / Agent Proxy
Embedded SaaS AI
AI Processing Within Third-party Services
Network Proxy + SaaS Access Governance
AI Agent Automation
Agent + MCP + Tool Calls
Agent Proxy (Tool Scan + Shadow AI Scan)
Enterprise-built AI
On-premises LLM · RAG · Custom Front End
Web Chat / API Gateway + internal_ai Policy

Converging AI Activity: Four Essential Security Defense Pillars for Enterprises

This is not a feature list. It consolidates complex AI traffic into a structured security architecture, building the foundational trust protection layer for enterprises.

Web Chat

Custom Chat / Agent Front End

Direct employee access with native plaintext visibility

"Front Door"

API Gateway

Enterprise Applications / System Integration

A unified entry point for programmatic AI calls

Machine-facing

Agent Proxy

Proxy AI Agent

Tool Scan + Shadow AI Scan

Between Agents & External Services

Network Proxy

Network-layer Proxy

DNS / Firewall Log Detection

"Back Door"
Converging AI Activity: Four Essential Security Defense Pillars for Enterprises

Four Access Paths, One Governance Core

No matter which path employees or applications use to access AI, everything converges into the same Engine and governance platform.

Web Chat
API Gateway
Agent Proxy
Network Proxy

HELIX GOVERNANCE CORE

Go Gateway

  • Routing · Authentication · Policy Enforcement
  • Approval Workflows · Unified Event Model

AI Engine

  • OCR · DLP · Fingerprint Matching
  • Prompt Security · Semantic · Behavioral Analysis
  • Risk Fusion · Attack Classification

Visible

Complete visibility into all AI usage

Controllable

Real-time policy enforcement and blocking

Accountable

Audits · Reports · Regulatory Evidence

Self-hosted Architecture × External AI Integration

Two environments, one governance core — the only differences are policy strength and egress location.

Enterprise-built AI (Fully Internal Network)External AI Integration (Centralized Egress)

Two Topologies · One Governance Core

One policy framework (mask-and-allow for internal_ai, stricter controls for external AI) · Unified event model · Complete audit trail

Core Defense: A Three-in-One Architecture from Centralized Control to Edge Execution

With the central console as the brain, Smart Gateway as the backbone, and the security engine as the hands, Helix delivers uncompromising defense in depth.

Governance Plane

Web Console

Five-stage lifecycle IA · Policies, approvals, audits, and SOC in one place

I/O-intensive Layer · Governance Brain

Go Gateway

Routing · Authentication · Policy Enforcement · Approval Workflows · Unified Event Model

Compute-intensive Layer · Execution Arm

AI Security Engine

OCR · DLP · Fingerprint Matching · Prompt Security · Behavioral Analysis · Risk Fusion · Attack Classification

Full Lifecycle Protection: A Closed Security Loop from Access to Administration

Move beyond the blind spots of traditional point-based blocking by embedding trust mechanisms into every critical stage of AI traffic, creating truly accountable infrastructure.

Connect

Inventory and onboard AI services, Providers, Agents, and MCP tools

Run

Intercept risks in prompts, responses, and tool calls in real time

Govern

Apply policies, approval workflows, and consistent enforcement across every access plane

Observe

End-to-end visibility across events, audits, reports, and SOC

Administer

Centralized governance of identities, tenants, and settings

Five Stages × NIST AI RMF

Trust must be verifiable — our lifecycle fully maps to an internationally recognized framework.

Lifecycle Stage
RMF Function
Governance Meaning
CONNECT
MAP
Identify where AI is used and contextualize risks
RUN
MANAGE
Runtime response and interception
GOVERN
GOVERN
Policies, governance structures, and approvals
OBSERVE
MEASURE
Measurement, audits, and reporting
ADMINISTER
GOVERN
Identity and accountability governance

Guarding Trust: Intelligent Eyes That Understand Content and Anticipate Behavior

Multi-layer detection works together — from format analysis and exact matching to semantic and behavioral detection. Semantic DLP (content semantic matching) is being further enhanced.

PII / Identity Data

Taiwan National ID (checksum validation), credit cards, account information, and more

Secrets / Keys

private_key / api_key / token — blocked immediately when detected

EDM Exact Matching

Precisely detects structured sensitive data such as customer lists

DFP Document Fingerprinting

MinHash approximate matching detects content even after rewriting

OCR Image Detection

Multiple backends (ONNX / TensorRT / PaddleOCR v5) convert images to text for scanning

Prompt Security

Injection / Jailbreak / Credential Leakage / Tool Abuse detection (MITRE-aligned)

Semantic Behavioral Classification

Multilingual sentence vectors (MiniLM) identify intent and behavioral risks

Risk Fusion

9 override rules + threshold-based decisions with monotonic escalation

High-performance Heterogeneous Computing: A Technical Foundation for High Throughput and Extreme Resilience

Dual-layer detection and Fail-open mechanisms deliver the ideal balance between accuracy and response speed, providing uninterrupted security protection for enterprise AI applications.

Dual-layer Detection Architecture

L1 deterministic rules (always on, low latency) + L3 LLM Judge (invoked only for high-risk cases), balancing accuracy and speed.

GPU-accelerated Inference

NVIDIA Blackwell (GB10) · ONNX Runtime / TensorRT enables high-throughput OCR and classification on GPUs.

Risk Fusion Engine

Aggregates signals across multiple modules using override rules + threshold decisions, allowing monotonic escalation without improper downgrades.

Fail-open Resilience

Traffic remains uninterrupted when L3 / semantic / Judge components fail, preserving availability while signals continue to be logged.

Others Sell Point Solutions. We Rebuild the Enterprise "Trust Boundary."

Tool-based AI security focuses on individual requests; Helix delivers trust infrastructure across the entire lifecycle and every access path.

AI Security Tools

  • Block individual requests
  • Security-focused, but lacking governance structures
  • Fragmented events make regulatory evidence difficult
  • They sell "protection"

Zentra Helix

  • Protects every path through which AI enters the enterprise
  • Trust spans the full lifecycle from access to accountability
  • Unified event model, fully auditable and provable
  • We build "trust infrastructure"
No Need to Wait for the Future: Connect to a Governance Core That Is Ready Today

No Need to Wait for the Future:Connect to a Governance Core That Is Ready Today

Covering four major paths (Web Chat · API · Agent · Network), five lifecycle stages, and NIST RMF alignment — combined with top-tier GPU acceleration, this is the enterprise-grade AI security infrastructure you have been looking for.

Framework Alignment and Support Coverage

Starting with Taiwan (FSC / PIPA) while aligning with international frameworks. Support levels indicate product capabilities, not a claim of full compliance with every individual requirement.

Regulation / Framework
Helix Capabilities
Support
Taiwan FSC AI Guidelines
Six core principles: governance and accountability, fairness and human-centered values, privacy and customer rights, robustness and security, transparency and explainability, and sustainability (five supported; "promoting sustainable development" falls outside the product scope)
Partially Supported
Taiwan PIPA
PII detection (National ID checksum validation), data minimization, leakage prevention, masking / Token Vault
Supported
NIST AI RMF
Five-stage lifecycle mapped to the four functions: Govern / Map / Measure / Manage
Supported
EU AI Act
Use-case risk classification, transparency disclosure, and human oversight (approval workflows) — use-case risk classification is on the roadmap
Partially Supported
ISO/IEC 42001
AI management system: policy lifecycle, risk assessment, and continuous monitoring — management capabilities continue to evolve
Partially Supported
OWASP LLM Top 10
Prompt injection / jailbreak / data leakage / tool abuse detection (MITRE-aligned)
Supported

Taiwan FSC Alignment: Guidelines for the Use of AI in the Financial Industry — Six Core Principles

Published in June 2024 · How Helix helps financial institutions implement the six core principles.

Supported

Establish Governance and Accountability Mechanisms

Unified event model, tamper-resistant auditing, and approval workflows ensure traceable accountability

Partially Supported

Emphasize Fairness and Human-centered Values

Human oversight (review and approval) and human-controllable workflows; model fairness belongs to the model layer

Supported

Protect Privacy and Customer Rights

DLP + PII detection, masking / Token Vault, and data minimization

Supported

Ensure System Robustness and Security

Prompt security, risk fusion, Fail-open resilience, and third-party oversight

Supported

Implement Transparency and Explainability

Decision rationale chains, audit reports, and governance visibility dashboards

Not Directly Applicable

Promote Sustainable Development

Less directly related to security governance (green energy efficiency and employee education are outside this product's scope)

Built in One of the World's Most Demanding Financial Testing Grounds:Compliance DNA from Taiwan to the World

Built to meet the FSC's highest compliance requirements, Helix brings battle-tested infrastructure into full alignment with international standards.

We believe the toughest challenges forge the strongest defenses. Refined through financial-grade cybersecurity requirements, Helix is ready to cross borders with enterprises and expand globally.

Highest-standard Compliance

FSC AI Guidelines' six core principles + PIPA — refining the product under the most stringent requirements

Ecosystem Co-creation

Financial institutions are more than customers — their compliance requirements, security practices, and real-world scenarios have shaped every Helix rule

Global Expansion

Trust infrastructure proven against Taiwan's financial regulatory requirements, expanding into regulated markets across Asia-Pacific and worldwide

From Eliminating Security Blind Spots to Enforcing Accountability: Three Stages to Full Enterprise AI Visibility and Control

Move beyond one-size-fits-all blocking. A transparent adoption path gradually establishes accountable audit trails that meet regulatory requirements.

Start with zero-intrusion out-of-band detection, calibrate real policy matches across departments, and ultimately enforce consistent compliance across all four paths. Helix turns AI governance from a complex engineering challenge into clear, measurable outcomes.

Global Visibility

2–4 Weeks · Zero Intrusion

Network Proxy out-of-band detection without modifying traffic or installing endpoints.

Complete Shadow AI Landscape and Risk Baseline

Dynamic Pilot

Monitor-first

Connect Web Chat / API Gateway to one department — observe first, enforce later.

Real Policy Matches and False-positive Calibration

Full Enforcement

Policies Live

Consistent enforcement across all four paths while audit reports begin accumulating.

Accountability Trails That Can Be Demonstrated to Regulators
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