Dark Data's impact on Security in AI Era

Highlights:

Global datasphere is projected to soar to 250 zettabytes by 2027, driven by AI's rapid expansion, intensifying security, compliance, and ethical challenges.Currently constituting over 80–90% of enterprise data, dark and acts as a black hole, presenting challenges that cannot be ignored for much longer.According to the Ponemon Institute, the average cost of a data breach has surged to $4.24 million. A significant portion of this cost is attributed to the compromise of concealed within the shadows of dark data.To fortify their defenses, organizations must delve into the hidden corners of this uncharted terrain.The collaboration between Hitachi Vantara and Data Dynamics represents a pivotal step forward. Offering advanced storage solutions and , this partnership transforms dark and unstructured data from a liability into a strategic asset for enterprises.

In this Blog:

In the midst of the AI revolution, our world is experiencing an unprecedented surge in data. According to IDC, the global datasphere is projected to reach a staggering 175 zettabytes by 2025, primarily driven by the widespread adoption of AI applications and devices. While this influx of data has fueled insights and innovation, it has also brought forth a complex set of challenges, particularly in the areas of security, compliance, and ethical governance.

Today, organizations are grappling with a formidable challenge-a blind spot in information that not only exposes them to the looming threats of breaches and leaks but also hinders productivity, efficiency, and cost management. A significant contributing factor to this challenge is the overwhelming influx of dark and unstructured data, constituting 80–90% of the data generated by enterprises. It is imperative for organizations to uncover the hidden corners of this uncharted terrain to strengthen their defenses against potential security vulnerabilities and extract meaningful insights. This article delves into the multifaceted aspects of dark data, exploring its manifestations, challenges, and the transformative collaboration between Hitachi Vantara and Data Dynamics. Together, they promise to assist enterprises in transforming their data from a liability to an asset, paving the way for organizations to navigate the intricate landscapes of dark and unstructured data and turn these challenges into strategic opportunities through cutting-edge storage solutions and unified data management.

Unveiling the Dark Corners of Data

The exponential surge in data growth has left numerous organizations grappling in the dark. A recent survey paints a startling picture, indicating that a staggering 58% of organizations are in the dark about the sensitive data lurking within their systems. This lack of awareness regarding the nature, location, and sensitivity of their data creates a cloud of uncertainty, obscuring vital information.

The consequences of this informational blind spot are far-reaching. Firstly, it exposes organizations to the looming threats of potential breaches, leaks, or mishandling of . Without a firm grip on their data assets, implementing robust security measures and governance protocols becomes a challenging task. This not only puts data integrity at risk but also complicates adherence to regulations, opening the door to potential legal consequences. Moreover, the absence of a comprehensive understanding of their data landscape makes navigating the ethical implications a formidable challenge. The ethical dimension of data is intricately tied to its context, usage, and consequences. Operating essentially in the dark, organizations struggle to unravel the ethical ramifications of their data usage, especially within the realm of AI algorithms.

Beyond security and ethics, this lack of insight seeps into the organizational fabric, eroding trust, hampering decision-making processes, and impeding the effective utilization of data as a strategic resource. In an era where information is of paramount value, the opacity surrounding one's data landscape emerges as a substantial obstacle that organizations must contend with.