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.
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.
Agents autonomously complete development tasks
Document understanding enters core business processes
External communications are handled by AI
Automated decisions affect real people
The electrical revolution required power grids, fuses, and meters before the world could safely electrify. The AI workforce revolution requires AI trust infrastructure.
The layer that gives enterprises the confidence to entrust core business operations to AI
AI TRUST INFRASTRUCTURE
The speed at which employees embrace AI should not come at the expense of enterprise trust
Employees paste sensitive content into external AI services
With no record whatsoever
Enterprises do not know which AI services are being used internally
Shadow AI cannot be inventoried
Audit trails that can be presented to regulators
Incidents cannot be traced
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.
ChatGPT / Gemin
Paste text and upload files — the most common and the hardest to trace
Copilot · Cursor · Claude Code
Source code flows to external models through code completion and conversations
M365 Copilot ·
Notion AI
AI inside workplace software processes data through third-party services
Agent + MCP + Tools
Agents automatically invoke tools, access data, and execute tasks
On-premises Models · RAG
Ollama / vLLM deployed internally — seemingly secure, but governance is still essential
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.
This is not a feature list. It consolidates complex AI traffic into a structured security architecture, building the foundational trust protection layer for enterprises.
Custom Chat / Agent Front End
Direct employee access with native plaintext visibility
Enterprise Applications / System Integration
A unified entry point for programmatic AI calls
Proxy AI Agent
Tool Scan + Shadow AI Scan
Network-layer Proxy
DNS / Firewall Log Detection

No matter which path employees or applications use to access AI, everything converges into the same Engine and governance platform.
Complete visibility into all AI usage
Real-time policy enforcement and blocking
Audits · Reports · Regulatory Evidence
Two environments, one governance core — the only differences are policy strength and egress location.
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
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.
Web Console
Five-stage lifecycle IA · Policies, approvals, audits, and SOC in one place
Go Gateway
Routing · Authentication · Policy Enforcement · Approval Workflows · Unified Event Model
AI Security Engine
OCR · DLP · Fingerprint Matching · Prompt Security · Behavioral Analysis · Risk Fusion · Attack Classification
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.
Inventory and onboard AI services, Providers, Agents, and MCP tools
Intercept risks in prompts, responses, and tool calls in real time
Apply policies, approval workflows, and consistent enforcement across every access plane
End-to-end visibility across events, audits, reports, and SOC
Centralized governance of identities, tenants, and settings
Trust must be verifiable — our lifecycle fully maps to an internationally recognized framework.
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.
Taiwan National ID (checksum validation), credit cards, account information, and more
private_key / api_key / token — blocked immediately when detected
Precisely detects structured sensitive data such as customer lists
MinHash approximate matching detects content even after rewriting
Multiple backends (ONNX / TensorRT / PaddleOCR v5) convert images to text for scanning
Injection / Jailbreak / Credential Leakage / Tool Abuse detection (MITRE-aligned)
Multilingual sentence vectors (MiniLM) identify intent and behavioral risks
9 override rules + threshold-based decisions with monotonic escalation
Dual-layer detection and Fail-open mechanisms deliver the ideal balance between accuracy and response speed, providing uninterrupted security protection for enterprise AI applications.
L1 deterministic rules (always on, low latency) + L3 LLM Judge (invoked only for high-risk cases), balancing accuracy and speed.
NVIDIA Blackwell (GB10) · ONNX Runtime / TensorRT enables high-throughput OCR and classification on GPUs.
Aggregates signals across multiple modules using override rules + threshold decisions, allowing monotonic escalation without improper downgrades.
Traffic remains uninterrupted when L3 / semantic / Judge components fail, preserving availability while signals continue to be logged.
Tool-based AI security focuses on individual requests; Helix delivers trust infrastructure across the entire lifecycle and every access path.

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.
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.
Published in June 2024 · How Helix helps financial institutions implement the six core principles.
Unified event model, tamper-resistant auditing, and approval workflows ensure traceable accountability
Human oversight (review and approval) and human-controllable workflows; model fairness belongs to the model layer
DLP + PII detection, masking / Token Vault, and data minimization
Prompt security, risk fusion, Fail-open resilience, and third-party oversight
Decision rationale chains, audit reports, and governance visibility dashboards
Less directly related to security governance (green energy efficiency and employee education are outside this product's scope)
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.
FSC AI Guidelines' six core principles + PIPA — refining the product under the most stringent requirements
Financial institutions are more than customers — their compliance requirements, security practices, and real-world scenarios have shaped every Helix rule
Trust infrastructure proven against Taiwan's financial regulatory requirements, expanding into regulated markets across Asia-Pacific and worldwide
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.
2–4 Weeks · Zero Intrusion
Network Proxy out-of-band detection without modifying traffic or installing endpoints.
Monitor-first
Connect Web Chat / API Gateway to one department — observe first, enforce later.
Policies Live
Consistent enforcement across all four paths while audit reports begin accumulating.
6F., No. 578, Ruiguang Rd., Neihu Dist., Taipei City 114 , Taiwan (R.O.C.)
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