Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Is Your Organization DLP-Mature? Here's How to Find Out

Every organization knows that protecting sensitive data is important. But knowing you should protect data and actually having the people, processes, and technology in place to do it well are two very different things. Too often, data protection programs evolve reactively—driven by the latest regulatory deadline or the aftermath of a near-miss incident. The result is a patchwork of policies and tools that create a false sense of security without delivering true resilience.

How to Build an Effective Insider Risk Management Program

Insider threats have become one of the most difficult and damaging challenges in cybersecurity. Unlike external attackers, insiders already have access to sensitive data and systems. Their actions often appear legitimate until it’s too late. Whether it’s a malicious employee stealing intellectual property or a well-meaning one accidentally leaking customer information, insider incidents are complex, nuanced, and often invisible to traditional security tools.

Why Data, Not the Perimeter, Should Be the Core of Your Security Strategy

For decades, enterprise security strategy revolved around a simple assumption: if you could build a strong enough perimeter around your network, everything inside would remain safe. Firewalls, intrusion prevention systems, and VPNs became the bedrock of corporate defenses. The perimeter was the castle wall, and sensitive data lived safely inside.

Detecting and Stopping Data Exfiltration in Real Time

Data exfiltration is no longer limited to elite external hackers — it’s a common occurrence in everyday business operations. Employees share files externally, upload documents to personal cloud accounts, copy source code to USB drives, or paste sensitive text into browser-based AI tools. Most of the time, these actions are unintentional.

Enhancing Digital Security: How ClarityCheck Supports Cyber Awareness

In today's digital-first world, personal and business information is constantly at risk. Cybersecurity threats are no longer limited to large corporations-individuals face data breaches, phishing attempts, and identity theft on a daily basis. One emerging solution that has gained attention in online communities, including a positive review on Reddit, is ClarityCheck. This innovative service allows users to search for information linked to phone numbers and email addresses, providing an extra layer of digital visibility and protection.

How Cyberhaven Uses Data Lineage to Revolutionize DLP

The concept of data loss prevention (DLP) is simple: stop sensitive information from leaving your organization through unauthorized channels. But in practice, traditional DLP solutions struggle to deliver on that promise. They rely on rigid rules, limited visibility, and a shallow understanding of how data is actually used. The result is missed threats, noisy alerts, and frustrated security teams.

DLP Compliance Guide: Meeting HIPAA, GDPR, & PCI Requirements

Compliance and data protection are inseparable in today's digital-first world. With increasing regulatory scrutiny, expanding privacy laws, and growing customer expectations around data stewardship, organizations can no longer afford to treat compliance as a checkbox exercise.

How Generative AI is Changing the DLP Landscape

Generative AI has revolutionized productivity, but it has also introduced a new class of data risk that legacy DLP tools simply can’t see. From engineers pasting source code into ChatGPT to marketers rewriting strategy docs, sensitive IP is leaving the browser through "Shadow AI" channels daily. Learn why traditional pattern matching fails against LLMs and how a data lineage approach secures AI usage without halting innovation.