DDR: Comprehensive enterprise data security made easy

by | Jul 13, 2022 | Technology

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!

Data is precious to any organization, serving as the foundation of day-to-day operations.

And it’s also highly coveted by outsiders.

Data is the target of most cyberattacks and is one of the easiest ways to profit from hacking. And hackers don’t discriminate; no organization is immune, as evidenced by numerous recent high-profile breaches and insider threats – from the Supreme Court to Facebook to TikTok.

This has led many to question the effectiveness of existing cybersecurity tools, particularly with the proliferation of cloud computing and multicloud environments, and the complexity and decreased transparency that ensue. But a new model is emerging, and some say it is set to reinvent the cybersecurity space: data detection and response (DDR).

This new data-centric approach, according to companies specializing in it, provides instant visibility into data stores and real-time protection and response capabilities.

“DDR is a new form of enterprise data protection, a radically different approach to protecting enterprise data,” said Howard Ting, CEO of DDR platform company Cyberhaven. “It offers more comprehensive coverage of data, is much more accurate in classification and risk identification and is much simpler to deploy and manage.”

Breaches at an all-time high

According to research from the Ponemon Institute, the cost of a data breach is at an all-time high – averaging $4.2 million in 2021. This reflects a 10% year-over-year increase from 2020 ($3.86 million), due in large part to the near-overnight shift to remote work and digital transformation amidst the pandemic. Costs are also amplified by system complexity and compliance failures, according to the Institute.

The “most common initial attack vector” was compromised credentials …

Article Attribution | Read More at Article Source

Share This