DLP
Top 10 Source Code Security Best practices in 2025
Cyberattack victims increased in the last years by a significant amount due to increased cloud storage use, diversified ransomware attacks, and high data breach compensation incentivizing attackers. Data loss prevention software started offering source code protection. Learn how it strengthens data security and secure your source code.
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.
Top 3 Teramind Alternatives in 2025
Teramind provides solutions in the DLP software market. However, its product has certain drawbacks that may prompt customers to look for other options. We analyzed the top 6 DLP products across 4 dimensions to identify the top Teramind alternatives.
Top 3 Symantec DLP Alternatives in 2025
We analyzed the top 6 DLP products to identify the top Symantec DLP alternatives in 2025. Below, we compare their features, strengths, and weaknesses to help you make an informed decision. Table 1. Alternatives comparison * The data was gathered from leading B2B review platforms. ** All of the vendors support Windows and MacOS.
Tackling Critical Data Protection Challenges in 2025
Data protection challenges are multi-faceted, involving technological barriers, legal complexities, human errors, and strategic decision-making. Organizations must understand these challenges to strengthen defenses against cybersecurity threats, maintain compliance with regulations, and manage the human factor effectively before implementing data loss prevention (DLP) software.
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.