Privacy, Data & AI Governance

Data Loss Prevention (DLP) Consulting and Implementation

Reduce the risk of sensitive data leaving your organisation with DLP rules designed around your data, tested on real channels and workable for your staff.

Discuss your DLP scope

Illustrative scene with the ALPHASEC team · An administrator comparing employee roles with customer-folder access — A role change may have left an obsolete access grant in place.

DLP explained

What is DLP?

Data Loss Prevention (DLP) is the combination of tools, policies and processes that find sensitive data and control how it is used and shared. A DLP rule might warn a user before a customer list is sent to a personal email address, block a copy to USB, or alert the security team when confidential files are uploaded to an unapproved cloud service.

Where DLP controls apply

Email: outbound messages and attachments.
Web and cloud apps: uploads to file sharing, SaaS and generative AI tools.
Endpoints: USB storage, printing, copy and paste and local sync clients.
Data at rest: discovery of sensitive files on file shares and cloud storage.

How ALPHASEC helps

Requirements and data classification: agree which data types matter, who owns them and which channels are in scope.
Tool review: check the DLP capabilities you already license before recommending anything new; our approach is vendor-neutral.
Policy design: detection rules, user notifications, exception approval and incident handling.
Pilot in monitor mode: measure real traffic and false positives before enforcement.
Tuning and enforcement: move rules from alert to block in stages with business owners.
Acceptance testing and handover: controlled tests with synthetic data, administrator guidance and operating procedures.

DLP and the PDPA

Thailand's Personal Data Protection Act requires data controllers to maintain appropriate security measures to prevent unauthorised loss, access, use, change or disclosure of personal data. DLP is one technical measure that supports this alongside access control, encryption and monitoring; it does not make an organisation compliant on its own. See Data Security Measures and PDPA consulting.

Common reasons DLP projects stall

Blocking too early, before rules are tuned on real traffic.
Too many false positives, so alerts are ignored.
No owner for approving business exceptions.
Sensitive data locations are unknown, so rules miss important files.

Frequently asked questions

What is the difference between DLP and data classification?

Data classification labels information by sensitivity. DLP uses those labels and content patterns to detect and control how the data moves. Classification usually comes first.

Do we need to buy a new DLP product?

Not always. Many organisations already have DLP features in their email, endpoint or cloud licences. We review what you have before recommending additional tools.

Will DLP slow down our staff?

Well-tuned rules mostly run in the background. Starting in monitor mode and adding clear user messages and an exception process keeps disruption low.

Does DLP make us PDPA compliant?

No. DLP supports the security measures the PDPA expects, but compliance also needs governance, records of processing, data subject rights handling and other controls.

How long does a DLP implementation take?

It depends on the number of channels, users and data types. Most projects start with a pilot on one or two channels; we confirm the plan after requirements are agreed.

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