Managing Data in the Age of Generative AI

Is the current method of data management addressing today’s risks?

This question weighs heavily on organizations as they grapple with the complexities of unstructured data. With data spread across multiple platforms—cloud services, hybrid infrastructures, and third-party applications—the potential for security breaches is ever-present.

It’s not just about compliance anymore; it’s about maintaining the trust of clients and stakeholders. As unstructured data continues to multiply, the risks associated with mishandling this information grow. Many breaches don’t stem from malicious intent; rather, they arise from simple human errors and outdated processes that fail to adapt to the current landscape.

In this context, organizations must reevaluate their data protection strategies. The old ways of managing data, while once sufficient, no longer meet the demands of today’s environment. An approach that leverages advanced technologies is essential for safeguarding sensitive information and ensuring that your data management practices align with your security goals.

The Evolution of Data Management Challenges

The rise of multi-cloud environments has introduced additional layers of complexity. Data is no longer confined to internal servers; it is dispersed across various locations, increasing the challenge of securing sensitive information. Traditional Data Loss Prevention (DLP) tools were built for a different era, assuming that data could be effectively safeguarded behind firewalls. These tools, while once effective, often fail to provide the comprehensive protection required.

Moreover, the volume of unstructured data—now numbering in the billions of files—has reached a point where manual management is no longer feasible. Security teams are overwhelmed, struggling to keep pace with the sheer amount of information and the potential vulnerabilities it presents. This reality underscores the urgency for organizations to adopt more advanced strategies for data protection.

The Power of Generative AI

To address these pressing challenges, organizations need to rethink their data protection strategies. Generative AI offers a powerful solution that enables high-quality Data Security Posture Management (DSPM) for unstructured data. By scanning, classifying, and tracking sensitive information across file systems, emails, and cloud environments in real-time, generative AI enhances your organization’s ability to protect data effectively.

For instance, while conventional regex tools might only identify an address within a document, generative AI can recognize the entire document as an invoice, capturing critical details such as payment information and supplier names. This level of insight not only improves classification accuracy but also simplifies compliance efforts.

Integrating AI with Zero Trust Architecture

In today’s complex infrastructure environments, the integration of DSPM with AI and Zero Trust architecture is crucial. This combined approach strengthens security measures and enhances compliance efforts. AI acts as the enabler, integrating DSPM’s monitoring capabilities with Zero Trust’s continuous verification to secure unstructured data environments. This synergy allows organizations to maintain real-time visibility into who is accessing data, how it’s being used, and whether any security gaps require immediate attention.

Furthermore, the implementation of AI reduces the need for creating complex regular expressions, streamlining the machine learning process while ensuring high classification accuracy.

Data X-Ray: A Vital Component of Your Security Strategy

Ohalo's Data X-Ray can be an integral part of your modern data security strategy. Our solution empowers organizations to leverage AI to locate and protect sensitive data across complex environments. By integrating with existing infrastructure, Data X-Ray provides insights into file permissions and content, enabling proactive risk management. Let’s work together to transform your data into a strategic asset while safeguarding it from potential risks.