Reference

Troubleshooting & Support

Reference material from the manual, including troubleshooting guidance, FAQ placeholders, support placeholders, and revision history.

Troubleshooting Guide

If a policy does not behave as expected, use the source manual’s troubleshooting guidance below.

Issue

Policy did not work for a specific app

Cause

Incorrect application name or executable name for the user’s OS

Solution

Look up the correct application name/executable for the OS, then edit it in Apps.

Frequently Asked Questions

How does DLP Agent help prevent data leakage?

DLP Agent combines AI-powered content classification with policy-based controls to identify and stop sensitive data from leaving the organization. It is specifically designed to strengthen source code protection across developer workflows and endpoints.

Traditional DLP solutions often depend heavily on static pattern matching and require significant tuning before they become effective. DLP Agent uses AI-based detectors and LLM-powered file classification to improve detection accuracy, reduce false positives, and shorten deployment and tuning time.

When a policy violation is detected, DLP Agent can automatically block the activity, record the event in the audit log, and generate an alert. Alerts can include key information such as the time of the event, user, device, application, destination, policy, and severity level.

Yes. DLP Agent is designed to complement existing security platforms such as Microsoft Purview and Microsoft Defender. It can operate alongside these tools to strengthen data loss prevention coverage, particularly for source code and developer-related data protection use cases.

Support and Contact

If further assistance is required, please contact our support team:

Email

dlp.support@nng.com

Phone

+84 90 8345880

Website

dlp.nng.com.vn

Revision History

VERSION

DATE

CHANGES

1.0.2

11th September

Add new flow to apply policy with whitelist

1.0.1

24th August

Assign Policy base on Device and Department

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