Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

How AI Companies Can Use Data Lineage To Stop IP Theft - And Win When It Goes To Court

The 21st-century gold rush is the AI boom, and it is producing a wave of emerging AI companies. Being the first to build and apply AI in novel ways successfully is the difference between success and failure. Because of this, companies can find themselves making a trade-off between time-to-market and security.

Insider Threats in the Age of AI: What Security Teams Need to Know

Artificial intelligence has gone from buzzword to business tool almost overnight. Employees are rapidly adopting platforms like ChatGPT, Gemini, and Copilot to draft content, analyze data, brainstorm code, and accelerate productivity. But as AI becomes embedded in everyday workflows, a new category of insider threat is emerging—one that is harder to detect, harder to classify, and potentially more damaging than anything security teams have faced before.

Fall 2025 Product Launch Teaser

Cyberhaven is excited to introduce Data Security Posture Management, now in Early Access. Existing DSPMs helped security teams inventory sensitive data across cloud repositories, but they stop short of delivering meaningful protection. They identify what data organizations have and where it resides, but not who owns it, where it came from, or how it’s being used. As data moves through modern organizations, copied between applications, repos, and endpoints, summarized into AI tools, and shared externally, those systems lose visibility and therefore their ability to protect data.

Introduction to Linea AI by Cyberhaven

Resolve incidents 5x faster, detect 40% more critical incidents, and reduce future incidents by 90% with Linea AI by Cyberhaven. Linea AI thinks like the smartest security analyst, precisely spotting insider risks across billions of workflows and every piece of data. It understands how people work the way a human would, but it never loses focus and can apply human-like insight at an incredible scale.

Data Security Posture Management, Early Access

Today's data sprawls across the cloud, on-prem, and endpoints. Data lives everywhere, but the biggest challenge isn't just knowing where data resides across the organization. Security teams must understand what the data represents, identify what’s at risk, and protect it in real time.