Ohalo Data X-Ray - Detailed Review
Data Tools
Ohalo Data X-Ray - Product Overview
Ohalo’s Data X-Ray Overview
Ohalo’s Data X-Ray is a sophisticated AI-driven platform that specializes in managing and governing unstructured data within organizations. Here’s a brief overview of its primary function, target audience, and key features:
Primary Function
Data X-Ray is designed to automate data governance tasks such as discovering, mapping, classifying, and remediating files that contain sensitive and personal information. It helps organizations monitor file activity, enhance security, and ensure compliance with data privacy regulations like GDPR and CCPA.
Target Audience
The platform is aimed at large and complex organizations, including global banks, government agencies like the UK Home Office, and any entity dealing with vast amounts of unstructured data. These organizations benefit from Data X-Ray’s ability to handle billions of files efficiently.
Key Features
Data Discovery and Classification
Data X-Ray uses machine learning and natural language processing to discover and classify unstructured data across various data sources, including on-premises file servers, cloud storage services like AWS and Azure, and collaboration tools like Google Drive and Box. It can identify patterns and relationships in data, far outperforming standard Data Loss Prevention (DLP) tools.
Integration and Connectivity
The platform can connect to thousands of data sources, integrating seamlessly with existing management systems. It supports full API and Java SDK for custom integrations, allowing it to adapt to different data environments.
Security and Compliance
Data X-Ray enhances data security by identifying and visualizing confidential data, reducing the risk of data theft, leakage, and non-compliance. It helps organizations build comprehensive data maps, manage subject access and deletion requests, and automate redaction processes for personal data.
Efficiency and Scalability
The platform significantly reduces the time and cost associated with manual data governance. It can process large volumes of data quickly, transforming scattered unstructured files into structured insights. This enables organizations to manage data subject access requests and contract intelligence more efficiently.
Advanced Capabilities
Data X-Ray includes features such as auto-redaction, contract intelligence, and the ability to handle generative AI adoption. It also supports optical character recognition (OCR), named entity search, and custom rules/models for data classification.
Overall, Ohalo’s Data X-Ray is a powerful tool for organizations seeking to manage their unstructured data effectively, ensuring compliance, security, and efficiency in data governance.
Ohalo Data X-Ray - User Interface and Experience
User Interface Overview
The user interface of Ohalo’s Data X-Ray is crafted to be intuitive and user-friendly, particularly for those managing and governing data within various organizations.Integration and Setup
Data X-Ray integrates quickly with all major structured and unstructured data sources, including databases, cloud storage, and file systems. This integration process is swift, taking only seconds to connect and a few minutes to complete the initial data maps.Automated Data Mapping
The platform features automated data mapping, which provides both high-level summaries and detailed, granular views of the data analysis. This allows users to assess data privacy risks efficiently and meet core data privacy legal obligations with ease. The interface presents this information in a clear and organized manner, making it easy to identify the quantity, type, and location of personal data across different data sources.Rule Configuration and Customization
Users can configure and customize rules to identify specific types of sensitive data, such as email addresses or account numbers, using regular expressions. The platform comes with hundreds of pre-configured rules, but users also have the flexibility to create their own custom rules to suit their organization’s needs.Data Classification and Cataloging
Data X-Ray’s superior classification engine uncovers patterns and relationships in unstructured data, transforming it into structured insights. The interface supports data classification and cataloging, helping users categorize data precisely and flag sensitive or high-risk files. This ensures compliance and secures critical data without disrupting workflows.Ease of Use
The overall user experience is streamlined to reduce the time and effort required for data analysis. Previously, manual analysis of a data source could take days; with Data X-Ray, this process is reduced to minutes. The interface is designed to be straightforward, allowing users to get started immediately and gain visibility into their data landscape quickly.Visibility and Control
The platform provides a comprehensive view of the organization’s data landscape, enabling better control over the data ecosystem. Users can monitor data usage, discover sensitive or regulated data, and manage data inventory across complex systems with ease. The clear and detailed insights offered by the interface help in making informed decisions and ensuring compliance with data protection regulations.Conclusion
In summary, the user interface of Ohalo’s Data X-Ray is designed for ease of use, with automated features, customizable rules, and clear data visualization, making it an effective tool for managing and governing data efficiently. Ohalo Data X-Ray - Key Features and Functionality
The Ohalo Data X-Ray
The Ohalo Data X-Ray is a sophisticated data management and governance tool that leverages AI to help organizations manage their data ecosystems efficiently. Here are the main features and how they work:
Automated Data Mapping
Data X-Ray uses machine learning algorithms to automatically analyze the contents of an organization’s data estate. This feature maps out the quantity, type, and location of personal data across various data sources, including structured and unstructured data. It reduces the time taken for data analysis from days to just minutes, providing both high-level summaries and detailed, granular views of the data.
Data Classification
The platform includes an advanced classification engine that identifies and classifies sensitive data. This engine uncovers patterns and relationships within the data, outperforming standard Data Loss Prevention (DLP) tools. It transforms scattered, unstructured files into structured insights, making it easier to manage and govern the data.
Data Cataloging
Data X-Ray integrates with leading data catalogs like Collibra to build a comprehensive index of an organization’s data. It brings together file metadata, ownership details, and content-level analysis to provide a clear view of the data landscape. This integration helps in managing data inventory across complex systems and ensures compliance with various regulations such as GDPR, PCI, and HIPAA.
Integration with Multiple Data Sources
The tool supports a wide range of data sources, including Google Cloud, Microsoft Office 365, Amazon S3, Azure Blob Storage, Salesforce, on-premises Windows file servers, and network-attached storage (NAS) devices. This broad compatibility allows organizations to integrate Data X-Ray seamlessly into their existing data ecosystems.
Compliance and Risk Assessment
Data X-Ray helps organizations meet core data privacy legal obligations by efficiently surfacing privacy exposure. It provides quick and detailed data maps that enable first-line data privacy risk assessments within minutes. The tool helps in identifying sensitive or regulated data, monitoring data usage, and ensuring compliance with data protection regulations.
Advanced AI Capabilities
The platform leverages AI to validate data at a high speed, with the capability to check up to one file per second for large production servers. This AI-driven approach ensures that data is analyzed quickly and accurately, providing real-time insights into the data landscape.
Lifecycle Management and Security
Data X-Ray aligns with organizational workflows to ensure comprehensive lifecycle management of data. It includes advanced data governance and security controls, ensuring that critical data is secure and compliant with regulatory requirements. This alignment helps in maintaining clarity and control over even the most challenging data environments without disrupting existing workflows.
These features collectively enable organizations to gain a comprehensive view of their data landscape, manage data effectively, and ensure compliance with various data protection regulations.
Ohalo Data X-Ray - Performance and Accuracy
Evaluating the Performance and Accuracy of Ohalo’s Data X-Ray
Evaluating the performance and accuracy of Ohalo’s Data X-Ray involves a close look at its capabilities, as well as any identified limitations and areas for improvement.
Performance
- Speed and Efficiency: Data X-Ray is highly efficient, capable of processing large volumes of data quickly. It can analyze and classify data at a rate of up to one file per second for large production servers, significantly reducing the time spent on data governance and compliance tasks.
- Integration and Scalability: The tool integrates seamlessly with various data sources, including cloud storage (Google Drive, One Drive, Box), email systems, Windows and Linux file systems, SQL and NoSQL databases, and more. This broad support ensures it can handle diverse and extensive data landscapes without disrupting existing workflows.
- Automated Processes: Data X-Ray automates data classification, discovery, and redaction, which saves considerable time and resources. For instance, it can identify and anonymize personal and commercially sensitive data, and perform contract intelligence tasks that would otherwise take days or months in just minutes.
Accuracy
- Anonymization Accuracy: In an evaluation by the UK Health and Safety Executive (HSE), Data X-Ray demonstrated high accuracy in anonymizing sensitive data. Out of 1998 records analyzed, the tool successfully anonymized 97% of the records, with only 19 records retaining sufficient PII to be considered a significant breach risk. This is a significant improvement over manual anonymization methods.
- Redaction Precision: While the tool is highly accurate, there are some anomalies noted. For example, there can be over-redaction of non-sensitive text, such as time periods, and under-redaction of sensitive text. However, these issues are being addressed through iterative improvements and customizations to the classifier.
- Custom Ontologies and Classifiers: Data X-Ray allows users to define custom ontologies and classifiers, which enhances its accuracy in identifying specific types of data relevant to their needs. This customization helps in improving the tool’s performance over time as it adapts to the organization’s specific requirements.
Limitations and Areas for Improvement
- Manual Review and Validation: Despite its high accuracy, Data X-Ray still requires some manual review and validation to ensure that the anonymization and redaction processes are accurate. For example, the HSE team had to develop a Python script to compare automated and manual anonymization results to identify and fix issues.
- Edge Cases and Anomalies: There are specific edge cases where the tool may not perform perfectly, such as over-redacting certain phrases or under-redacting sensitive text. These anomalies, while relatively rare, need to be addressed through ongoing improvements to the algorithms and classifiers.
- Regulatory Compliance: While Data X-Ray significantly reduces the risk of data breaches, it is crucial for organizations to define an acceptable level of risk. The tool helps in demonstrating best practices over time, but the final assessment of risk acceptance lies with the organization’s information asset owners.
Conclusion
In summary, Ohalo’s Data X-Ray is a powerful tool that excels in performance and accuracy, particularly in automating data governance and compliance tasks. However, it is not without its limitations, and ongoing improvements are necessary to address specific anomalies and ensure the highest level of accuracy and compliance.
Ohalo Data X-Ray - Pricing and Plans
Pricing Structure for Ohalo’s Data X-Ray
The pricing structure for Ohalo’s Data X-Ray is based on several factors, including the number of connected data sources and the specific modules chosen by the organization. Here’s a breakdown of the key points:
Pricing Model
- The pricing depends on the number of data sources connected and the modules selected. Each module is priced according to the number of data sources.
Modules
- Data X-Ray offers several modules that can be scaled according to the organization’s needs:
- Discover: Provides a complete view of metadata across the data estate.
- Classify: Identifies sensitive information through detailed examination.
- Remediate: Executes redaction, archiving, and remediation at scale.
- Monitor: Observes and reports file activity for complete visibility.
- Categorize: Contextually interprets documents using AI.
Organization Size
- Pricing varies based on the size of the organization. For example:
- For businesses under 1,000 employees: Special rates are available to help smaller organizations manage data governance issues efficiently.
Customization
- The pricing can be customized based on the specific needs of the organization, whether it has 100 employees or 100,000 employees, or whether it uses 1 on-premise server or 5,000 cloud storage buckets.
No Free Options
- There is no mention of free options or trials available for Data X-Ray. Instead, organizations need to schedule a meeting to get a personalized quote.
Integration and Deployment
- Data X-Ray can be deployed in a managed service or within the organization’s environment, supporting a wide range of data sources including cloud storage, email, Windows/Linux file systems, SQL, and NoSQL databases.
Given the information available, it is clear that the pricing is highly customizable and dependent on the specific requirements and size of the organization. To get an accurate quote, it is necessary to contact Ohalo directly and schedule a meeting.
Ohalo Data X-Ray - Integration and Compatibility
Ohalo Data X-Ray Overview
Ohalo Data X-Ray is a versatile and integrated solution that seamlessly connects with a wide range of tools and platforms, making it a valuable asset for data governance, compliance, and privacy management.
Extensive Integrations
Data X-Ray supports integrations with numerous data sources, including SQL databases, NoSQL databases, cloud storage services like Google Drive, One Drive, Box, AWS, and Azure, as well as Windows and Linux file systems. It also integrates with email services via IMAP and various other enterprise data sources such as Salesforce and SharePoint.
Data Governance and Catalog Integration
One of the key integrations is with Collibra Data Catalog. This integration allows for the automated population of the Collibra data catalog through unstructured data discovery, linking physical data assets, and maintaining accurate metadata. It also enables the automatic propagation of business glossary terms and data asset descriptions defined within Collibra, enhancing data governance and compliance.
Compliance and Security Tools
Data X-Ray integrates with auditing and activity platforms like Microsoft Purview, enriching sparse logs with useful metadata around sensitivity and entitlements. It also connects with Security Information and Event Management (SIEM) systems and security platforms to manage User and Entity Behavior Analytics (UEBA) and alerts in a centralized manner.
Custom and API Integrations
The platform offers comprehensive API support, including a Java SDK, allowing for custom integrations into existing data catalogs, document management systems, data visualization tools, and other internal and external systems. This flexibility ensures that Data X-Ray can be integrated into virtually any data pipeline or workflow.
Cloud and On-Premise Support
Data X-Ray can be deployed in various environments, including on-premise, private cloud, and managed services. This flexibility ensures that it can be adapted to the specific security and scalability needs of different organizations.
Specific Use Cases
For data privacy and compliance, Data X-Ray can search across multiple data sources simultaneously to identify personal and sensitive data, manage subject access or deletion requests efficiently, and auto-redact sensitive information from unstructured data. It also supports contract intelligence by indexing details from contracts, such as counterparties, clauses, and dates, making contract management more efficient.
Conclusion
In summary, Ohalo Data X-Ray’s integration capabilities are broad and deep, allowing it to fit seamlessly into a variety of data management ecosystems, enhancing data governance, compliance, and security across diverse platforms and devices.
Ohalo Data X-Ray - Customer Support and Resources
Support and Integration
Ohalo offers seamless integration with existing management systems, including data catalogs like Collibra. This integration allows for automated data governance and ongoing discovery, linking physical data assets to the Collibra Catalog and automating the mapping of business categories to machine learning-driven personal and sensitive data discovery output.
Custom Connectors and Onboarding
For customers with bespoke or legacy data sources, Ohalo can develop custom connectors upon request. This ensures that all data sources, whether on-premises or in the cloud, can be connected and managed efficiently. The onboarding process is supported by the Ohalo team, which helps users get started and ensure they see value from the first week of installation.
Technical Support and Managed Service
Data X-Ray can be deployed either as a managed service or within the customer’s environment. The managed service is run by Ohalo’s devops team, which is ISO27001 and CyberEssentials certified, ensuring high security standards. This flexibility allows customers to choose the deployment method that best fits their needs.
Documentation and Resources
Ohalo provides detailed product overviews, case studies, and testimonials on their website. These resources include examples of how Data X-Ray has helped organizations like the Health and Safety Executive (HSE) and a global bank manage large volumes of sensitive files efficiently.
Demo and Meeting Options
Customers can schedule a demo to see Data X-Ray in action and understand how it can address their specific data governance and security needs. This hands-on approach helps potential users assess the platform’s capabilities before committing to it.
API and Integration Capabilities
Data X-Ray offers comprehensive API support, allowing easy integration into existing data catalogs, document management systems, data visualization tools, and other internal and external systems. This ensures that the data governance and security insights from Data X-Ray can be seamlessly integrated into the customer’s existing workflows.
By providing these support options and resources, Ohalo ensures that customers can effectively manage their unstructured data, enhance security, and maintain compliance with ease.
Ohalo Data X-Ray - Pros and Cons
Advantages of Ohalo Data X-Ray
Comprehensive Data Visibility
- Ohalo’s Data X-Ray provides a complete view of an organization’s data landscape by automatically scanning and mapping data across various data sources, including databases, cloud storage, and file systems.
- It connects to multiple databases and file servers, allowing efficient searches for information about individuals and sensitive data.
Automated Data Governance
- The platform automates data governance tasks such as discovering, mapping, and remediating files containing sensitive and personal information. This reduces the time and cost associated with manual processes.
- It uses machine learning and natural language processing (NLP) to classify and label sensitive data, minimizing false positives.
Efficient Compliance Management
- Data X-Ray helps organizations comply with data protection regulations like GDPR and CCPA by identifying and managing personal data, handling data subject access requests, and enforcing retention policies.
- It can automatically redact personal data at a high speed and accuracy, significantly reducing the risk of data breaches.
Integration and Scalability
- The platform supports a wide range of data sources, including SQL and NoSQL databases, cloud storage services like AWS and Azure, and file systems. It also offers API and Java SDK support for custom integrations.
- Data X-Ray can be deployed in various environments, including on-premise, private cloud, and managed services, ensuring flexibility and security.
Cost and Time Savings
- By automating data classification and discovery, Data X-Ray saves thousands of person-hours and reduces costs significantly. It can perform tasks that would take humans days or months in just minutes.
Disadvantages of Ohalo Data X-Ray
Initial Setup and Approval Delays
- While the integration process itself is quick, the project may experience delays due to internal data privacy requirements and approval processes, as seen in the HSE project.
Accuracy and Iterative Improvement
- Although the platform is highly accurate, it may still require iterative improvements to achieve optimal results. For example, the HSE project involved manual review and scripting to compare automated and manual anonymization results.
Residual Risk
- While Data X-Ray significantly reduces data sensitivity and the risk of breaches, it may not completely eliminate all risks. For instance, the HSE project found that some sensitive records still retained personal identifiable information (PII) after anonymization.
Customization and Support Needs
- Depending on the specific needs of an organization, custom connectors or scripts might be necessary, which could require additional support and resources from Ohalo or the client’s IT team.
In summary, Ohalo Data X-Ray offers substantial benefits in terms of automated data governance, compliance management, and cost savings, but it may require some initial setup time and iterative improvements to achieve optimal accuracy.
Ohalo Data X-Ray - Comparison with Competitors
When comparing Ohalo Data X-Ray with other AI-driven data tools in the category of data governance, security, and privacy, several unique features and potential alternatives stand out.
Unique Features of Ohalo Data X-Ray
- Comprehensive Data Source Connectivity: Ohalo Data X-Ray seamlessly connects to a wide range of data sources, including on-premises file servers, AWS S3, Azure Blobs, Box, Google Drive, and more. This flexibility is enhanced by its ability to develop custom connectors for bespoke or legacy data sources.
- Advanced AI and Machine Learning: Data X-Ray utilizes machine learning and natural language processing to discover, classify, and remediate files containing sensitive and personal information. This reduces false positive and false negative rates significantly through generative AI categorization.
- Multi-Cloud and Hybrid Support: It works effectively in multi-cloud and hybrid data estates without additional costs for multiple environments, making it highly versatile for diverse data ecosystems.
- Data Mapping and Visualization: The platform automates data mapping, analyzing the contents of the data estate to map out the quantity, type, and location of personal data quickly. This process reduces the time taken from days to minutes.
Potential Alternatives
IBM Cognos Analytics
- While IBM Cognos Analytics is strong in automated pattern detection and natural language query support through IBM Watson Analytics, it lacks the customization options for AI features and has a steep learning curve. This makes it less user-friendly compared to Ohalo Data X-Ray.
- Pros: Integrates well with IBM tools, supports natural language inquiries.
- Cons: Complex interface, expensive for small to mid-sized companies.
Microsoft Power BI
- Microsoft Power BI is a powerful tool for data visualization and business intelligence, integrating well with the Microsoft Office suite. However, it can become costly with premium features and has a learning curve for advanced functionalities, including AI tools.
- Pros: User-friendly for Microsoft users, scales well with large data sets.
- Cons: Costly with premium features, integration with non-Microsoft data can be challenging.
Tableau
- Tableau is feature-rich with advanced AI tools like Tableau GPT and Tableau Pulse, enhancing data analysis and governance. However, it can be difficult for new users and business users without extensive data experience.
- Pros: Advanced visualizations, intuitive drag-and-drop interface, seamless integration with Salesforce data.
- Cons: Steeper learning curve for beginners.
AnswerRocket
- AnswerRocket is a search-powered AI data analytics platform that allows users to ask questions in natural language. While it is easy to use and provides quick insights, it lacks the advanced features and functionalities of more established tools like Ohalo Data X-Ray.
- Pros: Easy to use, quick insights, suitable for non-technical users.
- Cons: Limited advanced features, restrictive integration options.
Summary
Ohalo Data X-Ray stands out for its comprehensive connectivity, advanced AI capabilities, and ease of use in multi-cloud and hybrid environments. While alternatives like IBM Cognos Analytics, Microsoft Power BI, Tableau, and AnswerRocket offer strong features in their own right, they each have limitations such as higher costs, steeper learning curves, or limited customization options that make Ohalo Data X-Ray a compelling choice for data governance and security needs.
Ohalo Data X-Ray - Frequently Asked Questions
What is Ohalo’s Data X-Ray?
Data X-Ray is a platform by Ohalo that automates data governance tasks such as discovering, mapping, and remediating files containing sensitive and personal information. It helps with file activity monitoring, security enhancement, and privacy compliance across various data sources, whether on-premises or in the cloud.
How does Data X-Ray integrate with different data sources?
Data X-Ray seamlessly connects to all data sources, including on-premises and cloud storage. It also has the flexibility to develop custom connectors for individual data sources, whether they are bespoke or legacy systems, upon request. This integration can be completed in seconds, allowing for quick analysis and mapping of data.
What are the key features of Data X-Ray?
Data X-Ray offers several key features, including automated data discovery and classification, file activity monitoring, sensitive data remediation, and compliance with regulations like GDPR and CCPA. It also helps in reducing storage costs by identifying outdated or redundant data, refining retention policies, and maintaining an audit trail for transparency and accountability.
How does Data X-Ray use machine learning and natural language processing?
Data X-Ray utilizes machine learning and natural language processing to uncover unknown or forgotten data. These technologies enable the platform to analyze the contents of the data estate, map out the quantity, type, and location of personal data, and provide both high-level summaries and detailed granular views of the analysis.
What is the pricing model for Data X-Ray?
The pricing for Data X-Ray is based on the number of connected data sources and the modules chosen. Each module is priced according to the number of data sources connected, and there are special rates available for smaller organizations. A personalized quote can be obtained after a meeting with Ohalo.
Can Data X-Ray handle large and complex data environments?
Yes, Data X-Ray is built for complex data landscapes and can handle large-scale data environments. It has been used by organizations with millions of files, such as a global bank that managed 70 million sensitive files during a merger. The platform scales to meet the needs of both small and large organizations.
How does Data X-Ray help with compliance and security?
Data X-Ray enhances security and ensures compliance by accurately classifying files, identifying sensitive data, and providing automated checks to address risks. It integrates with leading data catalogs like Collibra and supports comprehensive lifecycle management to ensure compliance with various regulations.
What kind of support does Ohalo offer for implementing Data X-Ray?
Ohalo provides various support options, including the ability to schedule a demo to see the product in action. Users can also connect with Ohalo through their website, LinkedIn, or Twitter for more information and to get started with the implementation process.
Can Data X-Ray be used for specific use cases like data subject access requests?
Yes, Data X-Ray is useful for specific use cases such as data mapping, scaled search for data subject access requests, and mass redaction for data privacy and redaction workflows. It helps in efficiently managing these tasks, saving significant time for IT, privacy, legal, and security teams.
How does Data X-Ray help in reducing storage costs?
Data X-Ray helps in reducing storage costs by identifying outdated or redundant data. The platform’s automated assessment and mapping functionality allow organizations to quickly locate and remove unnecessary data, thereby freeing up resources.
Ohalo Data X-Ray - Conclusion and Recommendation
Final Assessment of Ohalo Data X-Ray
Ohalo’s Data X-Ray is a highly advanced and versatile data governance platform that leverages AI, machine learning, and natural language processing to manage and secure unstructured data. Here’s a comprehensive overview of its benefits and who would most benefit from using it.
Key Features
Data Discovery and Classification
Data Discovery and Classification: Data X-Ray automatically discovers, maps, and classifies data across various storage locations, including on-premises file servers, cloud storage services like AWS, Azure, Google Drive, and more. This helps organizations identify where sensitive and personal data are stored.
File Activity Monitoring and Security
File Activity Monitoring and Security: The platform enhances security by monitoring file activities, detecting unknown or forgotten data, and mitigating compliance risks. It integrates with multiple data sources, ensuring comprehensive coverage of an organization’s data landscape.
Compliance and Privacy
Compliance and Privacy: Data X-Ray is particularly useful for managing data subject access requests (DSARs) under regulations like GDPR. It can bulk search data, auto-redact personal information, and manage deletion requests efficiently.
Contract Intelligence
Contract Intelligence: The platform can index intelligence about contracts, including counterparties, clauses, and dates, making contract management significantly more efficient.
User-Friendly and Scalable
User-Friendly and Scalable: Data X-Ray is ultra user-friendly, connects to thousands of data sources, and provides quick reporting. It can be adapted to anticipate evolving data management needs and has been enhanced to support Generative AI adoption.
Who Would Benefit Most
Large Enterprises
Large Enterprises: Organizations with vast amounts of unstructured data scattered across multiple storage environments will greatly benefit from Data X-Ray. It helps create order out of data chaos, reducing the time and cost associated with manual data governance tasks.
Compliance and Legal Teams
Compliance and Legal Teams: Teams responsible for ensuring data privacy and compliance will find Data X-Ray invaluable. It automates the process of discovering, classifying, and remediating sensitive data, making it easier to comply with regulations like GDPR.
Data Security Teams
Data Security Teams: Security teams will appreciate the platform’s ability to centrally manage and visualize unstructured data, strengthening corporate data governance and security posture.
Overall Recommendation
Ohalo’s Data X-Ray is a powerful tool for any organization struggling with data governance, security, and compliance. Its ability to automate data discovery, classification, and remediation makes it an essential asset for large enterprises and teams focused on data security and compliance. Given its flexibility, scalability, and integration capabilities, Data X-Ray is highly recommended for organizations seeking to streamline their data management processes and ensure regulatory compliance efficiently.