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AISA — AI · Security · Automation
DCS Data protection in the AI era
Wherever your data goes, DCS protects it.
Book a free Demo IP Assessment PDP Assessment IP (Intellectual Property): intellectual assets such as drawings, source code and trade secrets. PDP (Personal Data Protection): protecting the personal data of customers and staff.
How it works
How DCS works
Identity-based access control
Protect documents shared externally
Action control & anti-extraction
Monitoring & preventing Shadow AI
Complete audit log & tracing
Customers
Our customers
Enterprises and organizations that have chosen our data protection solution.
Risk
Why protect data
Data slips out of an enterprise's control through many different routes. AISA helps enterprises clearly identify each risk point and control what matters most.
4 main causes of enterprise data loss
Shadow AI
Sharing with partners / suppliers
Employees leaving with data
Cyberattacks
Objectives
DCS protection objectives
DCS focuses on two groups of data: enterprise data that determines competitive advantage, and personal data tied to legal obligations and customer trust.
Protecting intellectual property & trade secrets
Protect the digital assets that determine competitive advantage: drawings, source code, contracts, reports and manufacturing know-how.
- Objective: keep core digital assets from leaving the enterprise's control, even after the file has been shared.
- Protect CAD drawings, source code, contracts, quotations, R&D data and financial reports right at the file.
- Control sharing with suppliers, partners and contractors: who may view, edit, print, copy and for how long.
- Prevent leaks from insiders, lost devices and AI tools outside control; revoke permissions immediately when needed.
- Complete access logs for incident investigation and audits.
- Best suited to: manufacturing, electronics, semiconductors, technology and enterprises with complex supply chains.
Personal data protection
Protect the personal data of customers, employees and partners in accordance with Vietnamese law.
- Objective: help enterprises meet personal data protection requirements under Law 91/2025/QH15 and Decree 356/2025/ND-CP.
- Encryption and access control are especially strict for sensitive data: financial, biometric, health, location.
- Limit access rights to the proper role; log every access to support incident notification within 72 hours.
- Control the sharing of personal data with third parties and data processors.
- Best suited to: finance – banking, healthcare, government, legal and any enterprise holding customer or employee records.
FAQ
Frequently asked questions
What is enterprise data security?
Enterprise data security is the protection of important information — customer data, contracts, financial reports, engineering drawings, source code, R&D data and intellectual property — from unauthorized access, copying, sharing or use.
Unlike traditional security that focuses only on networks or devices, data-centric security (DCS) protects the data itself throughout its usage lifecycle.
Data-centric security — what is DCS?
This is a security model that binds protection policies directly to data and documents. Control continues to exist even when a file is copied, emailed, stored on another device or shared with a partner.
Why aren't firewalls, antivirus or EDR enough to protect data?
Firewalls, antivirus software and EDR (Endpoint Detection and Response) protect networks, devices and endpoints — but users with legitimate access can still copy, send or take data out. DCS adds a layer of protection directly on the data to close this gap.
Which enterprises should use DCS?
DCS suits enterprises that own:
- Intellectual property, R&D data or CAD drawings.
- Source code, customer data, contracts and quotations.
- Financial data or data that must be shared with suppliers, partners and contractors.
Demand is usually highest in manufacturing, electronics, semiconductors, technology, finance, logistics and enterprises with complex supply chains.
How do I know if my business needs DCS?
An enterprise should consider DCS if one or more of the following applies:
- You have intellectual property, R&D data or engineering drawings.
- You frequently send files to external partners.
- You worry about employees copying data to USB or cloud, or taking it with them when they leave.
- You hold sensitive customer data.
- You are rolling out AI and worry about Shadow AI risk.
- International customers require strict security controls.
How does AISA help enterprises get started?
The roadmap has 5 steps:
- Step 1 — Assess the current state: identify critical data, data flows and risks.
- Step 2 — Build the policy: define who may view, edit, share or use the data.
- Step 3 — Trial (POC): test 3–5 key scenarios.
- Step 4 — Deploy: start with the department that has the highest risk.
- Step 5 — Expand and optimize: extend to other data groups and departments.
