Data Loss Prevention

DLP in Banking: Best Software & Practices in 2025
To protect against the rising data threat, banks and financial institutions must implement effective data loss prevention software and strategies tailored to their unique banking sector needs. Here, we list the best DLP software compared with banking and finance-specific criteria, and provide some best practices to help your business protect its confidential data. 1.
DLP Pricing: Compare top 3 Vendors in 2025
A data loss prevention (DLP) software offering similar features to another one can be twice as expensive. We analyzed the pricing & packages of 8 DLP tools. Save on the total cost of ownership by comparing the pricing for some of the top DLP software: Table 1. Price comparison of DLP software Source: Vendor websites.

Top 10 Mobile DLP Best Practices & Case Studies in 2025
As remote work and mobile device usage continue to increase, protecting sensitive data on mobile platforms has become a top priority for organizations. Mobile devices often present vulnerabilities for DLP software due to their portability, access to cloud systems, and various apps (Figure 1).
DLP Review: Benchmark Testing of 6 DLP Products in 2025
Leveraging my 2 decades of experience as a cybersecurity practitioner, I selected top DLP software for securing sensitive information & complying with regulatory standards. I tested 6 of these DLP solutions over a month focusing on key features like channel coverage, ease of deployment, and classification accuracy.
Top 4 Open Source DLP Software in 2025
Securing confidential business data is vital for organizations across all industries. While open-source DLP software presents viable solutions for data protection, larger enterprises often turn to closed-source DLP software solutions for enhanced functionality.
Top 15 DLP Statistics in 2025
Data from network security statistics reveals that the cost of an average data breach in the last year reached a record-breaking $4 million. To safeguard their data, businesses are leveraging solutions such as data loss prevention (DLP) software.
Top 15 AI DLP Best Practices with Case Studies in 2025
We analyzed the leading DLP software and, based on our experience with DLP solutions, we identified best practices supported by case studies.

LLM DLP Guide in 2025: 12 Best Practices
Enterprises are investing in large language models (LLMs) and generative AI, making the protection of sensitive data used to train these AI systems essential. Recent statistics indicate a rise in LLM security concerns, highlighting the need for robust data loss prevention or DLP software and strategies.
15 Best Data Loss Prevention (DLP) Software in 2025
Based on our DLP benchmark & features, here are the top data loss prevention tools.
Data Loss Prevention (DLP): Types & 5 Challenges in 2025
The increased mobility in introduces risks of data loss or theft, which can lead to severe financial losses and reputational damage for companies. Effective Data loss prevention (DLP) software need to prevent the unauthorized movement of private data and personally identifiable information (PII) to limit reputational and financial risk.