Tool Overview:
ohalo

About ohalo

Data X-Ray, ohalo's flagship product, is an enterprise platform for discovering, classifying, and managing unstructured data across large organizations. The platform connects to thousands of data sources including network drives, cloud storage, email archives, and messaging platforms to provide visibility into sensitive data stored throughout an organization's systems.

What does ohalo do?

The platform's core functionality centers around four key capabilities: data discovery, classification, monitoring, and remediation. Using machine learning and natural language processing, Data X-Ray scans and analyzes content at a rate of over 100,000 words per second, processing approximately 72,000 files per hour. The system classifies and labels files containing sensitive information such as personally identifiable information (PII), protected health information (PHI), and payment card data.

Data X-Ray provides file activity monitoring by connecting to auditing platforms like Microsoft Purview. This integration enables organizations to track file modifications and access patterns while enriching standard log data with sensitivity classifications and entitlement information. The platform includes automated workflows for data remediation, allowing organizations to redact sensitive information, manage access permissions, and implement retention policies at scale.

For security teams, Data X-Ray offers unified visibility into file access activities with comprehensive monitoring and reporting capabilities. The platform validates permissions across applications and storage systems while automating processes like Data Subject Access Requests (DSARs) to support privacy compliance requirements. Built-in machine learning classifiers categorize and label files automatically, reducing manual effort for analysts.

What makes ohalo different?

Data X-Ray distinguishes itself through its deployment flexibility and connector-agnostic architecture. The platform can be installed in multiple environments without additional costs and maintains all data behind the organization's firewalls rather than requiring cloud processing. Native connectors support major data sources while a universal connector and Java SDK enable custom integrations.

The platform employs generative AI for document categorization, moving beyond traditional pattern matching and dictionary approaches to reduce false positives and negatives. Data X-Ray integrates with enterprise data catalogs like Collibra and security tools like Imperva's Data Security Fabric. The system provides a REST API for automating privacy tasks and connecting to downstream processes.

Use cases and industries

Data X-Ray serves organizations facing complex regulatory requirements including HIPAA in healthcare, PCI DSS for payment processing, and various privacy regulations like GDPR and CCPA. The platform supports compliance with the Cybersecurity Maturity Model Certification (CMMC) for defense contractors by automatically identifying and classifying Controlled Unclassified Information (CUI).

The system addresses specific challenges in records management and data minimization. Organizations use Data X-Ray to implement retention schedules, identify stale data, and reduce storage costs while maintaining compliance with data protection requirements. The platform's redaction capabilities enable organizations to anonymize sensitive information when sharing documents internally or with third parties.

Beyond regulatory compliance, Data X-Ray helps organizations manage security risks by identifying exposed sensitive data and monitoring access patterns. The platform's machine learning models support multiple languages and achieve reported accuracy rates above 93% for sensitive data classification. This automated approach allows organizations to maintain visibility and control over unstructured data at petabyte scale across hybrid cloud environments.