Modern Protection for Modern Data Flows
Data Loss Prevention (DLP) is a data-centric security approach that focuses on protecting information itself — not just systems or networks. Instead of relying on perimeter defenses alone, DLP continuously identifies sensitive data, monitors how it is accessed or shared, and enforces policy-based controls in real time. This ensures that only the right users can use the right data, in the right way, at the right time.
Modern DLP moves beyond simple blocking. It combines visibility, context, and automation to reduce risk while enabling productivity. Our solution helps organizations discover, classify, monitor, and protect sensitive information across the entire data lifecycle — reducing breach risk while enabling secure business operations.
What Should Be Protected?
Not all data carries the same risk. Effective DLP starts with understanding what truly matters to your business.
Common categories of sensitive data include:
Personal & Identity Data
IC numbers, employee records, customer PII
Financial Information
Credit card data, payroll files, invoices
Intellectual Property
Source code, designs, confidential product information
Business-Critical Documents
Contracts, legal files, internal reports
Types of DLP Protection
Sensitive data moves across multiple channels. Protecting only one creates blind spots.
Our DLP solution provides end-to-end coverage across all data touchpoints:
Endpoint DLP
Protect data on user devices — controlling actions such as copying to USB drives, screenshots, printing, and transferring files tounauthorized application.
Email DLP
Inspect outbound emails and attachments to prevent sensitive data from being sent to personal or external recipients — with options to block, encrypt, or alert.
Cloud DLP
Monitor and control data shared through platforms like Microsoft 365, Google Workspace, and other cloud services to prevent public exposure or oversharing.
Network DLP
Inspect data in motion across web and network traffic to stop unauthorized uploads, file transfers, or data exfiltration attempts.
Why It Matters?
Data loss is no longer just a security issue — it is a business, legal, and reputational risk.
Reduce breach risk
by preventing both accidental and malicious data leaks
Protect brand trust
by ensuring customer and partner data remains secure
Meet compliance requirements
through enforceable policies and audit-ready evidence
Why SecureNow?
Designed for Real-World Operations
High-Fidelity Detection
Intelligent data discovery and classification reduce false positives and alert fatigue.
Unified Policy Control
Write policies once and enforce them consistently across endpoint, email, cloud, and network.
User-Aware Enforcement
Contextual rules distinguish between legitimate work and risky behavior, minimizing disruption.
Compliance-Ready by Design
Built-in logging, reporting, and evidence support audits and regulatory requirements without manual effort.
Core Functions
Discover Sensitive Data
Automatically locate sensitive information across endpoints, email systems, cloud platforms, and network traffic.
Classify Information
Identify and label data based on content, context, and regulatory relevance.
Monitor Usage
Track how data is accessed, shared, copied, or transmitted in real time.
Block or Encrypt Risky Actions
Prevent unauthorized sharing by blocking, encrypting, or alerting when policy violations occur.
How it works?
Detect Sensitive Content
Identify personal, financial, HR, or confidential business data automatically.
Apply Policy Rules
Policies are enforced based on user role, device, destination, and risk level.
Monitor User Activity
All access and movement of sensitive data is continuously monitored.
Alert / Block / Encrypt
Risky actions trigger alerts, blocking, or automatic encryption.
Log for Audit & Investigation
All events are recorded for compliance reporting and forensic analysis.
Solution Certified Partner's
Trusted by the Technology You Use
FAQ
No. DLP automatically detects and classifies sensitive information based on content patterns and data identifiers.
No. Policies are typically introduced in monitoring mode before enforcement to align with actual workflows.
Yes. Endpoint and cloud protections remain effective regardless of user location.
Yes. Detailed logs and reports provide evidence for regulatory and internal audits.
Yes. DLP scales based on data risk and organizational growth.