Data Masking
Automatically redact sensitive information.
Document Processing Automation
Enhanced Data Privacy & Compliance.
In today's digital world, data plays a crucial role in driving innovation, improving business processes, and enhancing customer experiences. Protecting it is crucial, and data masking is an effective security technique.
The good news is that our AI-powered data masking solution, DocHorizon, keeps sensitive information safe and ensures compliance.
Features of Automated Data Masking.
Data Masking API
Our data masking OCR API eliminates repetitive manual work in administrative processes by blacklining specific fields and images from documents. Our parsing engine can be trained to identify and blackline custom fields, and accepts inputs such as JPG, PNG, and PDF. The default output is a JSON file, but can be customised to CSV, XLSX, or XML. Additionally, masked documents can be outputted in JPG, PDF, or similar formats.
Mobile Scanning SDK
DocHorizon provides a robust mobile scanner SDK with advanced data masking features for Android and iOS platforms. This versatile SDK can seamlessly integrate into any mobile solution, offering wrappers for cross-platform languages such as ReactNative, Flutter, Cordova, and Nativescript. With DocHorizon’s mobile scanner SDK, you can effectively enhance data security and privacy while ensuring seamless integration across various mobile platforms.
Document Watermarking API
DocHorizon’s digital document watermarking feature provides a comprehensive solution to protect your document’s copyright, enhance data security, and mitigate risks associated with storing sensitive information. By leveraging DocHorizon’s advanced capabilities, you have the flexibility to add custom watermarks to your documents, including your company name, logo, and even the scanning date, thereby ensuring the authenticity and integrity of your digital content.
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Contact usBenefits of Automated Data Masking.
Faster Turnaround Times
Automating data masking would require less human input, freeing up your workforce to focus on more critical tasks.
Cost-Efficiency Savings
With higher efficiency and accuracy achieved with AI, organisations can significantly save on administrative costs.
Improved Data Precision
With an automated data masking solution, businesses can more accurately identify and redact sensitive information.
Improved Operational Scalability
Data masking automation allows businesses to redact documents at scale without increasing operational expenses.
Enhanced Data Compliance
Eliminate the exposure of sensitive data with data masking techniques to comply with data privacy laws and regulations.
Increased Processing Speed
With an automated solution, the data masking process can be up to 90 times faster than manual anonymisation techniques.
How It Works.
Document Input
Easily scan or upload high-quality digital images of identity documents using our SDK API, web application, FTP, or email, and receive real-time feedback.
DM Application
The system is designed to automatically identify the document type, extract data, signatures, pictures, and MRZ, masking sensitive information as prescribed.
Human-in-the-Loop
Opt for fully-automated or human-assisted data masking, the latter option allows human personnel to do the final checks to verify data masking completion.
Data Output
Receive the default output to your preferred destination, such as your ERP system or a database. Outputs can also be customised to CSV, XLSX, or XML if needed.
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Frequently Asked Questions.
What is data masking?
Data masking is a way to make sensitive data accessible with modified values. It can be done in real-time or by creating a replica of a database with altered data. Various data masking techniques such as encryption, data redaction, character shuffling, and value substitution can be used to anonymise the data.
Why is data masking important?
- Safeguarding against data misuse: Data anonymisation reduces the risk of internal stakeholders misusing the data and minimizes the potential exploitation of data in case of a security breach by external attackers.
- Compliance with data privacy regulations: Regulations such as the GDPR in the EU and the Data Protection Act 2018 in the UK require companies to protect individuals’ personal data. Anonymising data helps companies comply with these regulations and avoid fines for non-compliance.
- Data sharing opportunities: Anonymised data allows companies to securely share data with partners or researchers, enabling the discovery of new insights and development of new products. For example, anonymised data can be used to train machine learning models for product and service improvement.
What are the disadvantages of data masking?
While anonymising data is important, it does have a few drawbacks to consider:
1. Loss of data utility: Anonymising data may restrict the use of data for personalized marketing or targeting purposes, as it removes identifiable information.
2. Dependence on technical resources: Implementing data anonymisation can be resource-intensive and technically complex.
How does data masking with DocHorizon work?
Our intelligent document processing software, DocHorizon, uses Optical Character Recognition (OCR) to extract text from images and AI models to recognize, classify, and anonymise data as per your requirements. DocHorizon can be trained to blackline and mask specific fields and text from documents, which can be submitted via mail, web, or mobile applications in various formats like JPG, PNG, and PDF. After anonymization, you can receive the anonymized data in JSON, XLSX, XML, or CSV format.
How quickly can we implement DocHorizon data masking?
Our data anonymisation solution can be easily implemented through proper documentation and via API or SDK integration. Our API can be used to build custom information extraction and anonymisation pipelines and connect them with existing software systems.