Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

On April 23, 2024, the Federal Trade Commission (FTC) issued a ruling that banned the use and enforcement of non-compete agreements across the United States. With this ruling, enterprises that relied on these agreements to help preserve their competitive advantage must adapt their strategy for protecting proprietary information when an employee departs. Read on for a breakdown of the ruling, what strategies remain open for dealing with this risk, and how security teams can help their organization adapt.

We're excited to announce the introduction of Exact Data Match (EDM) to Cyberhaven’s suite of Data Loss Prevention (DLP) capabilities. Although EDM technology has been in use since the 2000s, Cyberhaven is adapting and advancing this technology to meet the demands of today’s data security challenges. Read on to learn more!

Since ChatGPT launched in November 2022, generative AI has emerged as one of the fastest-adopted technologies in the workplace ever. But, as seen in past paradigm shifts like cloud computing, the productivity benefits of this new technology are balanced with new risks.

Welcome to our Data Security Innovators series, where we talk to security leaders navigating the frontiers of data security with novel processes and technologies.

In the wake of evolving work arrangements, the spotlight often falls on remote and hybrid employees as potential threats to data security. Yet, our latest research uncovers a surprising twist in the narrative. It’s the in-office employees, traditionally considered the safest bet, who are now leading the charge in corporate data exfiltration.

On Wednesday, March 6th, 2024 the US Attorney’s Office of Northern California announced that a federal grand jury had indicted Linwei Ding on four counts of trade secrets theft. Ding was arrested in Newark, California and now faces up to 10 years in prison and a fine of $250,000. We did a deep dive into the indictment to understand what happened and help security leaders and practitioners apply lessons to their own information security practice. Read on to learn more!

Welcome to our Data Security Innovators series, where we talk to security practitioners who are navigating the frontiers of security with novel processes and technologies. In this episode, we speak to Kheun Chan, Principal Security Architect at Iron Mountain. Iron Mountain is renowned as one of the world’s best secure information storage and management services, with 95% of the Fortune 1000 as customers of the company.