Gatewatch is an independent AI Data Control Layer for trust-sensitive companies in Singapore and Thailand. 

Employees are already using AI to work faster, summarizing contracts, debugging code, analyzing data, drafting client responses. Most of it looks like ordinary work. But sensitive company data can reach an AI tool before anyone can inspect it, control it, or prove what happened. 

Existing controls do important work. DLP, CASB, SSE, endpoint, and cloud security all matter. The gap often opens at one specific moment: the point where data is about to enter an AI tool through a prompt, a paste, a file upload, or an API call.

Gatewatch is built for that control point. It is designed to help organizations inspect what is about to be sent, redact or block sensitive fields where supported, route approved use through controlled paths, log what happened, and give security, compliance, and legal teams evidence afterward.

Gatewatch is model-neutral and built to complement the existing security stack, not replace it. It is built for the regional reality, Singapore's PDPA and MAS context, and Thailand's PDPA, where tools tuned for Western regulations and English-only detection tend to fall short.

Gatewatch supports governance, privacy, audit, and data-control workflows. It does not guarantee compliance.

To learn more, visit gatewatch.co.

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