Data X-Ray: Automating Unstructured Data Analysis With AI

Data in today’s organizations is evolving at a scale and speed that’s hard to keep up with. What started as a manageable volume of files on internal servers has now expanded into a complex network of cloud platforms, hybrid architectures, and third-party applications. With each new file, organizations face growing challenges in securing, managing, and extracting insights from vast amounts of unstructured data.

At Ohalo, we’re addressing this challenge with Data X-Ray, a solution designed to unlock the potential of your unstructured data by enhancing data governance, and leveraging AI to detect risks that traditional tools would otherwise miss. Our goal is to help you move beyond data management and toward actionable intelligence.

Why Permissions Management Is More Challenging Than Ever

The sheer volume of data actions happening every day within an organization can be staggering. Picture an enterprise of 5,000 employees, each interacting with multiple files daily—creating, updating, or deleting them. These actions add up quickly, creating an immense potential for risk if permissions are misconfigured. While most employees aim to do the right thing, traditional systems relying on static rules simply don’t have the flexibility to keep up with the nuances of unstructured data or the fluid nature of today’s file interactions.

Data X-Ray was designed to meet this challenge head-on. Rather than relying on fixed rules or static oversight, Data X-Ray uses AI-driven insights to dynamically monitor permissions, content, and context. This automation alleviates the need for manual permissions management, allowing teams to focus on high-value tasks while ensuring data is securely accessed and managed.

Moving Beyond Regex: AI That Understands Your Data’s Context

For years, tools like regex (regular expressions) served as standard solutions for data pattern matching, but regex was built for structured environments with predictable patterns—not for today’s diverse, unstructured data. While regex can identify specific patterns or sequences, it falls short in analyzing the nuanced contexts within unstructured data, like emails, multimedia files, and documents.

Here, AI brings a transformative advantage. Data X-Ray’s AI capabilities go beyond static pattern recognition, learning from the data itself to understand context and uncover risks that traditional tools might miss. With AI, Data X-Ray can detect sensitive information embedded in unexpected formats, identify unauthorized access, and flag potential security issues before they escalate. The result? Enhanced decision-making and proactive security measures that adapt to the unique characteristics of unstructured data.

Empower Your Organization with AI-Driven Insights for Unstructured Data

Navigating today’s complex data environment doesn’t have to be overwhelming. With AI-driven analysis, Data X-Ray transforms unstructured data from a sprawling collection into an accessible resource. Data X-Ray empowers your teams with insights that drive faster, more informed decisions and strengthen data security. Start a conversation with us today to see how Data X-Ray can bring clarity and control to your unstructured data landscape.