Data Loss Prevention
Technologies, policies and processes that monitor, detect and block potential breaches — before they happen. Protect customer, financial and intellectual property data.
What is Data Loss Prevention?
DLP is a set of technologies and policies to prevent loss, leakage or unauthorized access to sensitive information — customer data, financial records, intellectual property.
3 ×
Defense layers
Network, Endpoint and Cloud — full data coverage.
24 /7
Monitoring
Continuous monitoring and alerts on suspicious activity.
GDPR
Compliance
Helps meet GDPR, HIPAA, PCI DSS and industry standards.
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Types of DLP
Three core DLP solutions that work together to protect data everywhere — across the network, on devices and in the cloud.
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Data in motion
Network DLP
Monitors network traffic — email, web uploads, file transfers — and automatically blocks attempts to send sensitive information outside the company.
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Endpoint devices
Endpoint DLP
Protects laptops, desktops and mobile devices — blocks copying to USB drives, uploads to personal cloud accounts and unauthorized printing.
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Cloud services
Cloud DLP
Protects data in SaaS and cloud environments
— Microsoft 365, Google Workspace, OneDrive
— regardless of where or on what device employees work.
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Key features
What a modern DLP solution includes and how it works day-to-day for the security team.
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Discovery & classification
Scan servers, endpoints and cloud for PII, financial, medical data and trade secrets.
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Real-time monitoring
Continuous monitoring of how data is used, accessed and shared — with instant alerts.
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Policy enforcement
Rules for how sensitive data is handled — block external sharing, control uploads.
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Incident response
Detailed notifications and reports on potential leaks — for fast analysis and response.
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Where the risk comes from
THREAT VECTORS
Most common causes of data loss
Understanding the channels through which information leaks is the first step toward building stronger defenses and controls.
4 · primary · vectors
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Human error
Accidentally sending sensitive information to the wrong recipient.
02 /
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Insider threats
Disgruntled or malicious employees who intentionally exfiltrate data.
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Cyber attacks
Hackers targeting financial records and intellectual property.
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Shadow IT
Unauthorized apps and services that inadvertently expose data.
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What you gain
Data visibility
Clear picture of where sensitive data lives and how it is used.
Regulatory compliance
GDPR, HIPAA, PCI DSS — DLP enforces the required policies.
Reduced breach risk
Early detection of risky behavior before an incident occurs.
Security culture
Clear rules and controls that drive better day-to-day practices.
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The future of DLP
Next-gen DLP combines AI, behavioral analytics and Zero Trust — protection with no compromise on productivity.
AI threat detection
Behavioral analytics
Zero Trust integration
Automated policies
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Frequently Asked Questions
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What is Data Loss Prevention (DLP)?
DLP is a set of technologies and policies that discover, classify, and block the leakage of sensitive data (personal data, financial information, intellectual property) via email, cloud, USB, chats, and endpoints — before it leaves the organization.
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Why do I need a DLP solution?
85% of data breaches occur through employees — whether intentionally or by mistake. DLP reduces the risk of GDPR fines (up to 4% of turnover), protects your reputation, and is a mandatory requirement for NIS2, ISO 27001, and PCI DSS.
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How does DLP detect sensitive data?
Through regex patterns (personal ID numbers, IBANs, credit cards), machine learning, Exact Data Match (EDM), OCR for images, and contextual analysis — a combination that yields a low level of false positives.
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Does DLP cover email, cloud, and endpoints?
Yes. We implement unified policies across Microsoft 365, Google Workspace, file shares, SaaS applications (Salesforce, Box), the browser, and Windows/macOS endpoints — all from a single management center.
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How long does DLP implementation take?
A pilot for email + endpoints usually takes 2–4 weeks; full implementation with data classification, policy training, and integration with SIEM/SOC takes 2–3 months, depending on the volume and number of integrations.