A sales director, while on a business trip, saves confidential reports to a personal cloud storage to access them from any device. A marketing manager uses a third-party AI service for customer data analysis, uploading it directly from the corporate CRM. These scenarios, already a reality, will become the norm by 2026, forcing organizations to recognize that traditional DLP systems focused on the internal perimeter are insufficient.
Evolution of threats and expanded attack surface
The increased use of cloud services (SaaS, IaaS, PaaS), hybrid work models, and mobile devices has significantly expanded the attack surface for data breaches. Data that was once confined to the corporate network now freely moves between cloud storage, employees’ personal devices, and third-party applications. This creates “shadow” channels for transmitting confidential information that are difficult to track and control with outdated methods.
Furthermore, the advancement of artificial intelligence and machine learning makes phishing and social engineering more sophisticated, increasing the risk of account compromise and subsequent data leaks. Attackers actively use automated tools to scan for vulnerabilities and exfiltrate data, requiring DLP systems to be capable of adaptive response.
New challenges for DLP systems
Traditional DLP solutions, which focus on endpoints and network traffic within the perimeter, cannot effectively counter modern threats. Key challenges include:
- Data visibility in the cloud: Most DLP systems lack full control over data stored in or moving between third-party cloud services.
- Mobile device control: Corporate data on employees’ personal smartphones and tablets often remains outside DLP’s visibility.
- Integration with third-party applications: Data transfer between corporate systems (ERP, CRM) and third-party SaaS services creates potential leak points.
- Growth of Shadow IT: Employee use of unauthorized applications and services for data sharing.
- Regulatory requirements: Stricter regulations for personal data protection (e.g., GDPR, Ukrainian legislation) demand comprehensive control over its movement.
Key directions for DLP development in 2026
To effectively protect data beyond the corporate perimeter, DLP systems must evolve in the following directions:
Expansion to cloud environments (CASB/DLP-as-a-Service)
DLP integration with Cloud Access Security Brokers (CASB) will become standard. This will enable monitoring and control of access to cloud applications, detection of shadow IT resources, encryption of data in the cloud, and enforcement of DLP policies on files uploaded or downloaded from cloud storage.
User and Entity Behavior Analytics (UEBA)
DLP systems will actively leverage UEBA to detect anomalous employee behavior that may indicate an attempted data leak. Examples include sudden downloads of large volumes of confidential information or access to data unrelated to job responsibilities.
Contextual data analysis and classification
A shift from simple pattern matching to deep contextual data analysis. DLP systems must understand the content, sensitivity, and value of information, regardless of format. The application of machine learning for automatic data classification will significantly enhance detection effectiveness.
Integration with Zero Trust architecture
Zero Trust principles – “never trust, always verify” – will form the foundation for DLP. Every data access request, regardless of source, will be verified and authorized. This will ensure data control at a micro-segmented level, even if the user is already on the network.
How Softline solves this
The Softline team, with extensive experience in developing and implementing comprehensive IT solutions, offers its clients integrated approaches to data protection beyond the corporate perimeter.
- Comprehensive cybersecurity solutions: Softline implements and configures modern DLP systems that integrate with CASB solutions to ensure visibility and control over data in cloud environments. We conduct cybersecurity audits and develop information protection strategies, considering the specifics of the client’s hybrid infrastructure.
- Personal data protection and CSIS compliance: Our experts assist companies in developing and implementing a comprehensive information security system (CSIS) that complies with all requirements of Ukrainian legislation and international standards. This includes protecting personal data and confidential information processed both inside and outside the corporate network.
- System integration: Softline ensures seamless integration of DLP systems with existing corporate systems (ERP, CRM, HR systems), as well as with cloud services. This allows for centralized management of security policies and monitoring of data movement across the entire infrastructure.
- IT consulting: We provide expert advice on project management, development of internal security policies, and personnel training, which are critical for the successful operation of DLP systems in an expanded perimeter.
- Development on UnityBase: Our Low-Code platform UnityBase allows for the development of corporate systems with built-in access control and data auditing mechanisms, reducing leak risks at the application level. This is particularly relevant for developing state and corporate systems where security requirements are paramount.
In 2026, the success of data protection will depend less on the thickness of the corporate perimeter and more on an organization’s ability to see, control, and classify data wherever it resides. Investing in adaptive DLP solutions that integrate with cloud services and utilize behavioral analytics is not just a recommendation but a necessity for ensuring business continuity and regulatory compliance.
Given the rapid growth of cloud solutions and remote work, DLP systems by 2026 must evolve from perimeter control to comprehensive data monitoring at every point of its lifecycle. Practical experience shows that integrating DLP with Identity and Access Management (IAM) tools is key to effectively protecting information in such a distributed environment.