Modern financial institutions need a strategy that keeps pace with the rapidly changing threat landscape and the growing amount of data being processed. Traditional, static locks are giving way to intelligent Data Loss Prevention (DLP) systems that can automatically adjust the level of restrictions to current user behavior. The more risky an employee’s actions become, the more the system enforces security policies, using advanced technologies such as machine learning and fingerprinting. Learn about the mechanisms that allow for immediate alerts, enforced encryption, or blocking of sensitive data transfers before an accidental human error causes a costly leak.

Why does the financial sector need DLP?

Financial institutions are targeted by attacks motivated primarily by financial gain, but also by political motives. However, alongside advanced threats such as ransomware and phishing, the greatest challenge remains the human factor.

  • Employee errors. It is estimated that as many as 78% of data leaks are the result of mistakes, such as sending an attachment to the wrong recipient or copying confidential information to AI chatbots.
  • Malicious insiders. Deliberate actions by people leaving the company who attempt to take customer databases or internal procedures with them pose a real threat to business continuity.
  • Shadow IT. Employees using unapproved applications creates vulnerabilities that can be exploited by cybercriminals.

What is DLP and how does it work?

DLP systems are solutions designed to detect and prevent data leaks, both intentional and accidental. Their operation is based on three implementation pillars:

  • Network DLP – monitors data at the point where the company network connects to the Internet.
  • Endpoint DLP – uses agents installed directly on employees’ end devices, controlling the processes of copying, printing, and transferring files.
  • Cloud DLP – ensures consistent security policies in cloud environments.

Thanks to advanced methods such as fingerprinting (creating digital fingerprints for sensitive sources) and machine learning, these systems can accurately classify documents such as insurance policies and personal data.

Real benefits – finances and reputation

Implementing DLP is not only a matter of technology, but above all a matter of protecting reputation and financial stability. Failure to implement adequate security measures can lead to severe administrative penalties. A DLP system effectively prevents such incidents by automatically blocking risky actions or alerting users to raise their awareness.

Do you want to secure your organization?

Implementing a DLP system is a process that requires expert knowledge of networks, servers, and databases. At Softinet, we combine many years of experience with advanced technological specializations to build optimal and secure IT environments for the financial sector. Fill out the form.  Our experts will be happy to answer your questions.

We also recommend that you take a look at the e-book: Security for the Future: Data Protection and Data Loss Prevention (DLP) Solutions in the Financial Sector.