DLP & DDR Solutions

Know Where Your Data Is, Watch How It Is Used, Prevent Unauthorized Data Exfiltration

Corporate data is no longer held in company data centers alone.

Protecting data that moves continuously between user computers, file servers, e-mail systems, SaaS applications, cloud platforms, mobile devices, databases and artificial intelligence applications has become one of the most critical components of modern cyber security.

DLP (Data Loss Prevention) solutions aim to prevent sensitive data being shared with unauthorized people, taken outside the organization or used inappropriately, through policy-based controls, while;

DDR (Data Detection & Response) technologies aim to detect abnormal data activity and respond to those threats quickly by analyzing data access and movement behavior continuously.

SecureSys DLP & DDR Solutions help organizations build an end-to-end data security architecture with the;

Discover → Classify → Monitor → Analyze → Block → Respond

approach.

What Is DLP – Data Loss Prevention?

Data Loss Prevention is the whole set of technologies, policies and processes aimed at preventing the sensitive and critical information inside an organization from being shared without authorization or taken outside the organization.

DLP systems focus fundamentally on protecting three different data states:

Data at Rest

The discovery and protection of data held on file servers, user computers, databases, SharePoint estates, cloud storage areas and other systems.

Data in Motion

The control of data transferred over e-mail, web, network traffic, cloud applications and other communication channels.

Data in Use

Covers the protection of sensitive data the user opens, copies, prints, transfers to a USB stick or processes through other applications on their computer.

Which Data Does DLP Protect?

Different data types can be protected by building DLP policies specific to the organization.

For example;

• Personal data
• Customer information
• Identity information
• Financial information
• Credit card data
• Human resources records
• Source code
• Technical documents
• Project files
• Contracts
• Intellectual property
• Trade secrets
• Defence and critical infrastructure documents
• Confidential information specific to the organization

can be detected and protected automatically through DLP policies.

Data Discovery and Classification

The first step of an effective data security strategy is knowing which data the organization holds.

Data discovery technologies;

"Where is our sensitive data?"

aim to bring out the answer to this question.

Sensitive data can be identified by scanning file servers, user devices, databases, cloud systems and other data sources.

Data can then be separated;

Public → Internal → Confidential → Strictly Confidential

into classification levels specific to the organization of this kind.

Endpoint DLP

Endpoint DLP controls the data movements taking place on user computers.

In line with policy, operations such as;

• USB data transfer
• File copying
• Printing
• Screenshots
• Clipboard operations
• External disk use
• Bluetooth transfer
• File upload over the web
• Transfer to personal cloud services

can be monitored or restricted.

Network DLP

Network DLP aims to detect the unauthorized exfiltration of sensitive information by analyzing the data traffic passing through the corporate network.

Data movements on web, e-mail and other network communication channels can be assessed on a policy basis.

E-Mail DLP

E-mail is one of the significant channels of corporate data leakage.

A user may send a file to the wrong recipient, or a malicious user may attempt to transfer sensitive corporate information to a personal e-mail account.

DLP technologies can prevent policy violations by checking the;

• message content,
• attachments,
• recipients,
• sensitive data types,
• classification labels

inside the e-mail.

Cloud DLP

With the spread of Microsoft 365, Google Workspace and other SaaS applications, applying data security inside the corporate network alone is not enough.

The Cloud DLP approach allows the movement and sharing of sensitive data within cloud services to be controlled.

Insider Threat and DLP

Data security threats do not always originate from external attackers.

The deliberate or mistaken behavior of authorized users can also create significant data security risks.

For example, an employee about to leave downloading a large volume of documents within a short period, or transferring sensitive files to an external medium, can be an important risk indicator.

Using DLP and DDR technologies together helps this kind of behavior be detected earlier.

What Is DDR – Data Detection & Response?

DDR, that is Data Detection & Response, is a modern security approach assessing data security not through static policies alone but through real-time data behavior.

DDR's core question:

"What is happening to our data right now?"

can be summarized in this way.

DDR technologies aim to detect unusual behavior by analyzing by whom, from which system, through which application, when and in what way sensitive data is used.

How Does DDR Work?

DDR solutions analyze data movements continuously.

The typical process runs as;

Data Discovery ↓ Data Classification ↓ Activity Monitoring ↓ Behavior Analytics ↓ Anomaly Detection ↓ Risk Assessment ↓ Automated Response

this sequence.

For example, a user who normally accesses a few customer records a day downloading thousands of sensitive records within a short period can be assessed by DDR as abnormal behavior.

The Difference Between DLP and DDR

DLP and DDR are not alternatives to one another.

DLP largely;

"Is this data permitted to move in this way?"

answers this question.

DDR, by contrast;

"What is happening to this data right now, and is this behavior normal?"

focuses on this question.

For this reason the two technologies can be assessed together in modern data security architectures.

• DLP = Policy and Prevention
• DDR = Behavior, Detection and Response

Used together they can significantly increase organizations' data security visibility and response capacity.

Detecting Abnormal Data Behavior with DDR

DDR technologies can analyze different behavior models.

For example;

• Downloading an unusual volume of data
• Access to sensitive data at unusual hours
• Access from systems other than the usual ones
• A large number of files being read in a short time
• Bulk data transfer
• Unauthorized data access
• Suspicious data copying
• Abnormal user behavior
• Unexpected changes to sensitive data

such activity can be assessed as a potential security event.

Data Lineage – Tracking the Journey of Data

In next generation data security architecture, knowing only where data is located is not enough.

Information such as;

Where it came from → Who accessed it → Which application it was used in → Where it was moved to

also has to be tracked.

The Data Lineage approach allows the movements data carries out throughout its lifecycle to be understood.

This visibility offers a significant advantage particularly in investigating data leakage incidents.

DLP + DDR + DSPM

In modern data security architecture, DSPM – Data Security Posture Management technologies have also become important alongside DLP and DDR.

DSPM;

"Where is our sensitive data and what is its security posture?"

answers this question,

DLP;

"Should this data movement be permitted?"

this one,

and DDR;

"What is happening to this data right now?"

answers this question.

Assessing these three approaches together can build an integrated Data Security architecture in the form of;

DSPM + DLP + DDR

this combination.

DLP in the Age of Artificial Intelligence

The corporate use of Generative AI applications has created a new attack and data leakage surface in data security.

Users sending corporate information to uncontrolled AI services can cause;

• source code,
• customer information,
• financial data,
• contracts,
• technical documents,
• personal data

to be transferred to systems outside the organization's control.

Next generation DLP strategies must therefore bring not only e-mail, USB or web traffic but Generative AI use as well into the scope of data security policy.

DLP and KVKK

DLP technologies can contribute to the application of technical measures for protecting the personal data covered by KVKK, the Turkish personal data protection law.

The;

• identification,
• classification,
• access monitoring,
• prevention of unauthorized sharing,
• logging of data movements

of personal data are important parts of data security processes.

DLP alone does not deliver KVKK compliance; but it is an important component in applying technical data security controls.

SIEM, SOAR and XDR Integration

The security events obtained from DLP and DDR solutions can be carried into central security operations.

DLP / DDR → SIEM → SOC → SOAR

Thanks to this integration, data security events can be assessed together with other cyber security signals.

For example;

Suspicious user login + High-volume data access + USB transfer + Upload to an external cloud service

different signals of this kind can be assessed together so a potential data leakage scenario is detected more quickly.

The SecureSys DLP & DDR Approach

SecureSys does not treat data security as DLP software deployment alone.

Within the project, the organization's data structure, user profiles, critical data sources and data movements are analyzed first.

An integrated security architecture can then be built in the form of;

Data Discovery → Data Classification → DLP Policies → User Behavior Analytics → DDR → SIEM/SOC Integration → Automated Response → Reporting

this sequence.

Do Not Merely Store Your Data — Protect Its Movement Too

Modern data security does not consist of knowing only where sensitive data is located.

It is necessary to know who accesses the data, where the data moves to, which user behavior creates risk and how to respond before data leakage occurs.

With SecureSys DLP & DDR Solutions, discover and classify the sensitive data in your organization, monitor data movements and build an integrated data security approach against unauthorized data exfiltration.

Request a demo and quote for DLP & DDR Solutions from SecureSys.

DLP & DDR Products | Corporate Data Security Solutions

SecureSys assesses different DLP and DDR technologies according to organizations' data security needs, existing infrastructure, number of users, regulatory requirements and data movements.

In our portfolio;

Verikor DLP | Trellix DLP | Safetica DLP | GTB Technologies DLP | Forcepoint DLP | CyberServal DDR

with these solutions, we can offer answers to needs ranging from traditional data loss prevention systems to next generation Data Detection & Response architectures.

The aim is not merely to deploy a DLP product;

Discover the Data → Classify → Monitor → Protect → Detect Abnormal Behavior → Respond

it is to build the data security architecture that suits the organization with this approach.

Verikor DLP

Turkish-Made Data Leak Prevention Solution

Verikor is the Turkish-made Data Loss Prevention (DLP) solution developed by Siberson.

It offers data security capabilities for monitoring and controlling the movement of sensitive corporate data across endpoint, network and cloud environments, and for blocking policy violations.

Verikor is one of the alternatives worth assessing particularly at public institutions, defence industry organizations and regulation-heavy sectors preferring a domestically developed product.

What Can Be Done with Verikor DLP?

With Verikor, security policies are built over corporate data movements with the aim of preventing sensitive information being taken outside the organization through unauthorized channels.

The solution;

• Sensitive data detection
• Monitoring of data movements
• DLP policy management
• Endpoint data security
• Data leak prevention
• Monitoring of user activity
• Logging of security breaches
• Reporting
• Building an audit trail
• Support for compliance processes

can be assessed in use cases of this kind.

Verikor and KVKK

One of Verikor's important use cases is technical controls for the protection of personal data.

By helping bring the personal, financial, health, military or other sensitive information held inside the organization under control, it can support the technical security side of compliance work such as KVKK, ISO/IEC 27001 and the Turkish Information and Communication Security Guide.

Who Is Verikor Suitable For?

It can be assessed particularly for;

organizations looking for a domestically developed DLP product, public institutions, defence industry companies and organizations wanting to control their critical data inside the organization

these estates.

Trellix DLP

Enterprise-Scale Data Loss Prevention

Trellix Data Loss Prevention is a comprehensive corporate DLP platform for discovering, classifying, monitoring and protecting sensitive and organization-specific information from endpoint to cloud.

One of Trellix DLP's important advantages is that different data security needs can be managed with a central policy approach.

Trellix DLP Components

The Trellix DLP product family holds components addressing different data security needs.

Trellix DLP Endpoint Complete

Helps detect, classify and protect sensitive data on Windows and macOS endpoints and servers.

Trellix Device Control

Can be used to control unauthorized external device use and to prevent the data leakage that could take place over channels such as USB.

Trellix DLP Discover

Provides the discovery and classification of the sensitive data held in network, storage and database environments.

Trellix DLP Network Monitor

Helps the sensitive data shared over the network be analyzed in real time and data security events be made visible.

Trellix DLP Network Prevent

Provides controls for blocking unauthorized sensitive data sharing on network channels such as web and e-mail.

Trellix DLP's Standout Aspects

• Endpoint DLP
• Device Control
• Network DLP
• Data Discovery
• Data classification
• Central policy management
• Real-time event tracking
• User notification and guidance
• Compliance reporting
• Visibility of the data risks arising from AI use

make Trellix DLP one of the strong options particularly in large and complex corporate estates.

Safetica DLP

User and Data Centred DLP

Safetica is one of the Data Loss Prevention platforms developed for detecting sensitive corporate data and controlling data movements.

In Safetica's approach, assessing the operations the user carries out and the context around them holds an important place alongside the data content itself.

Channels That Can Be Controlled with Safetica

Within Safetica DLP policy;

• External devices
• USB
• Printers
• Network
• E-mail
• Cloud Drive
• Data transfer over RDP
• Clipboard
• Screenshot
• Applications

different data movements of this kind can be controlled.

Context-Aware DLP

In modern DLP systems, the presence of a particular word inside a file is not a sufficient risk indicator on its own.

Contextual information about the data such as;

By whom → In which application → By which method → Where it was sent

is also important.

Safetica therefore offers a more contextual data security approach based on data content and user behavior being assessed together.

Who Is Safetica Suitable For?

Safetica can be assessed particularly by organizations wanting a solution that can be brought into service faster than classic and complex Enterprise DLP projects, that provides visibility of user activity and that aims to make DLP operations easier to manage.

GTB Technologies DLP

Advanced Content Analysis and Data Protection

GTB Technologies DLP is a corporate Data Loss Prevention platform for detecting, monitoring and protecting sensitive data in endpoint, network, storage and cloud environments.

One of GTB's standout areas is its advanced content analysis and data fingerprinting approach.

Data Protection with GTB DLP

GTB DLP;

• Structured data
• Unstructured data
• Documents
• Sensitive files
• Intellectual property
• Corporate records

helps detect different data types of this kind and apply security policies to them.

Real-Time Data Protection

Once sensitive data is detected, different actions such as;

Monitor → Warn → Block → Quarantine → Encrypt

can be applied according to the policies built.

GTB's Standout Aspect

GTB is positioned particularly through its content inspection and fingerprinting technologies for identifying sensitive content correctly.

It can therefore be assessed in projects where protecting intellectual property, technical drawings, financial information and organization-specific sensitive documents is critical.

Forcepoint DLP

Enterprise DLP and Risk-Adaptive Data Security

Forcepoint DLP is one of the comprehensive solutions of the corporate DLP market.

It offers a unified data security approach for discovering, classifying, monitoring and protecting sensitive data in endpoint, network, web, e-mail, cloud and SaaS environments.

One of Forcepoint DLP's strengths is that the same policy and classification approach can be applied across different data channels.

What Can Be Protected with Forcepoint DLP?

Forcepoint DLP;

• Data at Rest — data in file shares, SharePoint, OneDrive and similar environments,
• Data in Motion — data moving over e-mail, web, SaaS and network,
• Data in Use — Copy/Paste, print, screenshot, USB and other data operations on user devices

can be used to control these.

Risk-Adaptive Protection

One of the important characteristics of the Forcepoint approach is that user behavior and risk context can be included in data security policy.

Rather than applying the same static policy to every user and every data movement, the aim can then be to adapt security controls according to risk level.

Forcepoint and Generative AI Security

With the spread of Generative AI use, one of DLP's new duties is preventing corporate data being transferred to AI applications in an uncontrolled way.

The Forcepoint data security approach can help reduce Shadow AI and Generative AI Data Loss risks by offering capabilities for controlling data movements in web, SaaS and AI applications.

CyberServal DDR

Next Generation Data Detection & Response

Traditional DLP systems mostly control data movements through policies built in advance.

In modern attacks, however, static policies alone may not be enough.

CyberServal Data Detection & Response (DDR) offers a next generation data security approach extending the traditional DLP approach with data behavior, AI-supported analysis and Data Lineage capabilities.

How Does CyberServal DDR Work?

CyberServal's approach looks not only at the content of sensitive data;

• WHAT – Which data?
• WHO – Who is using it?
• WHEN – When?
• WHERE – Where?
• HOW – How is it moving?

it aims to answer these questions together.

Data movements can then be assessed within their context.

Data Lineage

One of CyberServal DDR's important characteristics is the Data Lineage approach.

By tracking the movements of sensitive data through its lifecycle, the system;

File created → Copied → Renamed → Turned into a ZIP → Encrypted → Uploaded to the browser

can make the relationship between data movements of this kind visible.

This approach provides significant security visibility particularly in scenarios where traditional DLP can lose context after a file is transformed.

AI and LLM Supported Data Analysis

CyberServal DDR aims for sensitive data to be assessed contextually by making use of AI/LLM based models in content analysis and classification processes.

The aim is thereby to go beyond data detection based on regex or static keyword policies alone.

UEBA and Insider Threat

CyberServal DDR helps identify unusual activity by analyzing user and data behavior together.

For example;

• Normal user behavior — access to 20–30 documents a day
• Abnormal behavior — access to thousands of documents within a short period
• Rising risk — bulk copying / compression
• Critical event — data transfer to an external medium

behavior chains of this kind can be analyzed.

Generative AI Data Loss Protection

One of CyberServal DDR's notable use cases is Generative AI data security.

Policies can be applied for controlling the corporate data sent to GenAI services such as ChatGPT, Microsoft Copilot, Gemini and Claude.

This approach is gaining importance particularly in organizations' management of Shadow AI and AI Data Leakage risks.

DLP or DDR?

The critical point here is that DLP and DDR should not be assessed as rivals to one another.

DLP

"Is this data permitted to be sent here?"

focuses on this question.

DLP solutions such as Verikor, Trellix, Safetica, GTB and Forcepoint provide data security controls in this area with different architectures and capabilities.

DDR

"What is happening to this data, is this behavior normal and should I respond?"

brings this question into the assessment as well.

In this approach CyberServal DDR brings data behavior, user behavior, Data Lineage and AI-based analysis capabilities to the fore.

Which DLP / DDR Solution Should You Choose?

There is no single "best DLP" product for every organization.

The right solution;

• Number of users
• Number of endpoints
• Volume of data
• Data types
• Cloud usage
• Microsoft 365 usage
• Generative AI usage
• Network architecture
• Endpoint operating systems
• Data classification requirement
• Insider Threat risk
• KVKK requirements
• ISO/IEC 27001 controls
• Information and Communication Security Guide requirements
• Public sector or defence industry requirements
• On-Premise / Cloud architecture preference
• SIEM/SOC integration
• Capacity of the operations team

should be determined by assessing these factors.

SecureSys DLP & DDR Solutions

At SecureSys we do not treat DLP projects as product licensing work alone.

At the start of the project the existing data security structure and the organization's needs are assessed and the appropriate technology and product architecture is determined.

The project;

Analysis → Data Discovery → Product Selection → POC → Architecture Design → Deployment → DLP Policy Design → Pilot Users → Monitoring Mode → Policy Optimization → Blocking Mode → SIEM/SOC Integration → Operations & Support

can be carried out through these stages.

Our DLP & DDR Product Portfolio

Verikor DLP Turkish-made DLP; data leak prevention and compliance-focused data security.

Trellix DLP Enterprise-scale data security with Endpoint, Device Control, Discover and Network DLP components.

Safetica DLP A manageable DLP approach centred on user behavior and context.

GTB Technologies DLP Corporate DLP focused on advanced content inspection and data fingerprinting.

Forcepoint DLP Enterprise DLP covering endpoint, network, cloud, web, e-mail and AI use.

CyberServal DDR Next generation Data Detection & Response with Data Lineage, UEBA and AI/LLM supported analysis capabilities.

Bring Your Data Under Control Before You Lose It

Data security is no longer only about closing USB ports or checking e-mail attachments.

Because of cloud services, SaaS applications, remote working, Generative AI and rising insider threats, organizations need to make the entire lifecycle of their data visible.

With SecureSys DLP & DDR Solutions, discover your sensitive data, control data movements, detect abnormal behavior and respond to data leaks before they happen.

Request a demo, POC and quote for DLP & DDR Solutions from SecureSys