In recent years, we've witnessed an acceleration of consolidation across the cybersecurity industry, with data security at the heart of this evolution. The rise of AI use cases has accelerated the need for protecting sensitive data for most enterprises.

Securing data today requires the context provided by data lineage: where data came from, who interacted with it over time, which systems have used it, and more. But buyer beware: many vendors now claim to offer “data lineage” that only provides a tiny fraction of the context of true, global data lineage.

After economic headwinds caused a downswing in corporate mergers and acquisitions, analysts are projecting an increase in activity in the second half of 2024. This uptick in activity, however, will feature different trends due to the current economic and regulatory climate, with big implications for information security. Read on to learn more about projected shifts in acquisition strategy and the implications for information security!

In today’s rapidly evolving digital landscape, the ability to see, understand, and control data movement within an organization is more critical than ever. Cyberhaven’s customers are turning to our Data Detection and Response (DDR) platform to power their data security programs, moving away from legacy solutions that fail to offer comprehensive visibility. Cyberhaven stands out by providing unmatched insights into data usage and movement across every part of an organization.

Agents can be a pain, we know! From deployment, to managing upgrades, dealing with agent conflicts, and responding to user complaints, we know security teams would rather achieve their objectives without an endpoint agent. But, when it comes to securing your company’s data, there are certain use cases that can only be achieved with an endpoint agent.

Real-time feedback on risky behavior stops sensitive data exfiltration and educates employees on security best practices, based on research from Cyberhaven Labs analyzing data on warning and blocking policy implementations.

As the world enters the AI Era, CISOs and CIOs are looking at data security with renewed interest and urgency. Instead of multiple overlapping yet disconnected tools, it’s time for one unified platform to trace and secure data wherever it goes.

In the past decade, organizations seeking to protect sensitive data from negligent or malicious insiders faced two choices: invest in a Data Loss Prevention (DLP) product or an Insider Risk Management (IRM) product. These solutions addressed the same problem from different angles. DLP products focused on analyzing data content to control its movement, while IRM products monitored user behavior for risky actions.