Founder & CEO, SecureAI Systems Limited
Building SecureAI Gateway for enterprise AI access governance, sensitive-data protection, approved-model access and audit evidence.

SecureAI Gateway helps enterprises govern how employees, applications, copilots, agents and API workflows access AI models before sensitive data leaves enterprise control.

Focus areas:

• Enterprise AI access governance
• Prompt inspection and sensitive-data protection
• Approved-model routing and policy enforcement
• Audit evidence for AI usage review
• AI usage visibility by user, department, model and use case
• Token usage and cost visibility for enterprise AI adoption
• Hybrid deployment with customer-controlled Data Plane

Website: https://secureaigateway.ai
Product walkthrough: https://secureaigateway.ai/demo
Architecture: https://secureaigateway.ai/architecture
Resources: https://secureaigateway.ai/resources
Contact: contact@secureaigateway.ai

• Hong Kong
• Singapore
• Southeast Asia

Target organizations include financial services, insurance, professional services, healthcare, education, public-sector and technology teams evaluating safe enterprise AI adoption.

AI governance should not stay only in policy documents.

A practical starting point is one governed AI access path:

• Who is using AI?
• For what business purpose?
• What data is involved?
• Which model is used?
• What policy decision is applied?
• What audit evidence is recorded?
• Can usage and token cost be explained later?

• AI governance
• AI access control
• AI security
• GenAI risk
• sensitive data protection
• approved model access
• audit evidence
• AI usage visibility
• token spend governance
• enterprise AI adoption