TL;DR

Traditional Data Loss Prevention (DLP) solutions are no longer sufficient in environments where employees rely on SaaS applications, GenAI tools, and remote work across multiple devices. FortiDLP combines DLP capabilities with Insider Risk Management and User Behavior Analytics (UEBA) to identify risky activities before they result in data loss. Rather than analyzing files alone, it evaluates their origin, usage, user context, and activity history to accurately assess risk. This context-aware approach helps organizations strengthen data protection, meet regulatory requirements, and significantly reduce false positives.

Data Is an Organization’s Most Valuable Asset—And Its Biggest Target

Organizations have never processed as much data as they do today. According to IDC forecasts, the global volume of data will exceed 394 zettabytes by 2028, up from approximately 149 ZB in 2024—nearly tripling in just a few years.

Data no longer leaves organizations solely through email. Employees now use Microsoft 365, Google Workspace, Salesforce, Slack, Teams, personal cloud storage, and increasingly, generative AI applications. Combined with hybrid work, mobile devices, and BYOD environments, controlling the flow of sensitive information has become far more complex than it was only a few years ago.

This is why Data Loss Prevention (DLP) solutions are evolving. Instead of simply blocking file transfers, modern DLP platforms are expected to understand the context of each event and identify threats before sensitive information is exposed.

Why DLP Has Become a Regulatory Requirement

Just a few years ago, implementing DLP was primarily a business decision. Today, it is increasingly driven by regulatory compliance.

Organizations handling personal data, financial records, or intellectual property must demonstrate that they can control how sensitive information is accessed, copied, and shared.

These requirements appear in regulations and standards including:

• GDPR, which requires organizations to ensure the confidentiality and integrity of personal data through appropriate technical and organizational measures (Articles 5, 25, and 32).
• NIS2 Directive, requiring organizations to implement cybersecurity risk management measures and protect critical information.
• Poland's National Cybersecurity System (KSC), which introduces security obligations for essential and important entities.
• ISO/IEC 27002:2022, where control 8.12 Data Leakage Prevention defines best practices for preventing data leakage, controlling information transfers, and enforcing the principle of least privilege.

What Should Modern DLP Really Be?

For years, DLP was primarily associated with blocking confidential files from leaving the organization. Today, that definition has expanded.

Rich Mogull, former Gartner analyst specializing in Data Loss Prevention, defines DLP as technologies that identify, monitor, and protect data at rest, data in motion, and data in use using centrally managed policies and advanced content analysis.

Today, Gartner goes a step further by promoting the concept of Adaptive Risk-Based DLP, where effective data protection combines several security disciplines, including:

• Data classification
• Data Loss Prevention
• User and Entity Behavior Analytics (UEBA)
• Privileged Access Management (PAM)
• Continuous risk assessment

This broader approach helps organizations address today's challenges—from regulatory compliance and intellectual property protection to mitigating insider threats and preventing data theft by departing employees.

FortiDLP: Combining DLP with Insider Risk Management

FortiDLP combines traditional DLP functionality with Insider Risk Management, enabling organizations to predict and prevent data leakage instead of merely responding after an incident occurs.

From a business perspective, its key capabilities include:

• Cloud-native SaaS architecture, eliminating the need for dedicated infrastructure.
• Immediate risk visibility, allowing organizations to quickly identify where sensitive data resides and how it moves.
• Content- and source-aware protection, recognizing where files originated (for example, CRM systems) and considering sensitivity labels during policy enforcement.
• Built-in compliance coverage for major regulatory frameworks without creating policies from scratch.
• Integration with the broader Fortinet Security Fabric, including FortiClient and FortiEDR.
• Support for Windows, macOS, and Linux, both on and off the corporate network, across managed and unmanaged devices.

How Does FortiDLP Know When Data Is at Risk?

One of FortiDLP's greatest strengths is its ability to analyze the complete context of an event rather than a single user action.

The platform evaluates:

• The content of the data, including sensitive information, intellectual property, source code, CRM documents, and files labeled with sensitivity tags.
• Potential data exfiltration channels, including browsers, SaaS applications, email clients, USB devices, cloud storage, printers, Bluetooth, AirDrop, and screenshots.
• User context, including location, login history, Wi-Fi networks, running processes, network activity, historical behavior, and organizational role.
• The endpoint environment, such as whether the device is connected to the corporate network and which operating system it uses.

Based on this contextual analysis, FortiDLP determines the appropriate response. Depending on the calculated risk level, it may generate an alert, display an educational warning, block the action, terminate a process, or even isolate the endpoint.

Data Origin and Data Lineage

One of FortiDLP's most valuable capabilities is Data Origin & Data Lineage.

The platform records where a file originated—for example, whether it was downloaded from an approved business application—and continuously tracks every action performed on that file, including renaming, moving, copying, attaching it to emails, or sharing it elsewhere.

Rather than reacting to isolated events, security teams gain complete visibility into the lifecycle of sensitive information.

Protecting Data Across SaaS and GenAI Applications

The rapid adoption of GenAI platforms—including AI chatbots, AI-enabled browsers, and enterprise assistants such as Microsoft Copilot, Salesforce Einstein, and Breeze—has significantly increased the risk of corporate information being exposed through Shadow AI.

FortiDLP addresses this challenge by:

• Discovering, classifying, and assessing sanctioned and unsanctioned applications.
• Providing visibility into GenAI adoption across the organization.
• Monitoring sensitive data flows into and out of AI applications.
• Detecting unauthorized AI usage and the use of personal credentials to access corporate resources.

Insider Risk Management: Protecting Against the Threat You Already Trust

Most organizations focus on defending against external attackers. However, some of the most difficult threats to detect originate from users who already have legitimate access to sensitive information.

These risks include accidental mistakes, privilege misuse, compromised accounts, and malicious insiders.

FortiDLP extends traditional DLP with Insider Risk Management, continuously analyzing user behavior to identify activities that deviate from established baselines.

The platform collects telemetry from users, endpoints, and cloud services before applying Machine Learning User Behavior Analytics (ML-UBA) to establish a unique behavioral baseline for every individual.

By analyzing events before, during, and after an incident, FortiDLP significantly reduces false positives, enabling security teams to focus on genuine threats.

When an incident is confirmed, investigators receive comprehensive forensic evidence, including user activity history, file operations, clipboard activity, and screenshots. At the same time, employee identities can remain anonymized until the investigation justifies disclosure. Security analysts can also leverage FortAI-powered reports to accelerate investigations and better understand complex security events.

If you would like to learn how FortiDLP can help your organization comply with GDPR, NIS2, KSC, and ISO 27001 while strengthening protection against data leakage, contact the experts at 4Prime IT Security. We can help you design the right security architecture, demonstrate the platform, and plan an implementation tailored to your organization's needs.