Automating your workflow is not a luxury but a necessity. This includes crucial processes like redaction. Redaction has always been a critical part of handling sensitive information for organizations, especially justice agencies, healthcare facilities, police departments, and development companies dealing with sensitive information.
So, if you are a developer, keep reading to understand how automated redaction solutions can help enhance your workflow.
What Exactly is Automated Redaction?
Redaction refers to the process of editing a document to obscure or remove sensitive information. It ensures that only relevant details are disclosed for data security and privacy purposes.
Before technology and the internet came into being, redaction used to be manual. However, manual redaction is time-consuming, expensive, and prone to human error. These are the main problems automated redaction aims to solve.
How Automated Redaction Solutions Work
Let’s say you have PDFs of a healthcare system. In this case, you can’t expose the personally identifiable information (PII) in that content before replacing it. That’s where automated redaction comes into play.
Automated redaction software relies on Machine Learning (ML) and Natural Language Processing (NLP) to automatically identify sensitive information like PII in documents. These tools go a long way in tracking and selecting the correct data to obscure. In essence, they minimize the chances of you missing out on the information that needs redaction.
If it’s an image, these solutions rely on advanced Optical Character Recognition (OCR) to strategically scrub protected information.
Usually, the customer or client will specify the type of information to be redacted. From there, the developer builds a custom back-end process to identify documents by type and redact the specified information using keywords, basic pattern recognition, or zonal cues. That’s how organizations achieve rapid processing of large volumes of data.
Types of Data that Need Automated Redaction Solutions
- Financial documents and files
- Social security numbers
- Driver’s license
- Account numbers
- Medical and psychiatric information
- Proprietary information and trade secrets
- Financial documents and files
Application of Automated Redaction in Developer Workflows
Developer workflows refer to a series of tasks, processes, and tools a developer must utilize to plan, create, deploy, and maintain software applications. So, at some point, you’ll need to protect personally identifiable information or sensitive information in test data.
Test data refers to the inputs or information used to verify the readability, correctness, and performance of software systems. It is used for purposes such as demos, tests, and LLM model training.
As such, developers handling sensitive information rely on automated redaction software to protect and anonymize that information. It saves them time and ensures they comply with regulations.
Benefits of Automated Redaction in Developer’s Workflows
With automated redaction tools like Apryse WebViewer, you are sure to achieve the following:
- Enforce Data Security
Today, data breaches have become rampant. They come from phishing attacks, hacking, stolen devices, and insider threats. However, you can minimize damages by using AI redaction software. It can help you automatically detect and remove sensitive information.
- Save Time
It goes without saying that automating data redaction saves you a great deal of time. You see, AI redaction improves efficiency in developer workflows, allowing you to focus on other tasks instead of manually redacting data.
- Enhanced Accuracy and Consistency
We often get burnt out whenever we handle more tasks than we can manage. This usually leads to errors and inconsistencies. However, with automated redaction, it’s almost guaranteed to have rapid, safe, and accurate protection of sensitive information in a more accurate and consistent manner.
- Maintain Compliance in Organizations
Compliance requirements for handling sensitive data in organizations must be met. Failure to comply can lead to legal actions and hefty fines. Some of the data protection laws that automated redaction will help you comply with include HIPAA, GDPR, and CCPA.
Conclusion
If you want to transform your workflows as a developer, then automated redaction is what you need to adopt.
You see, data privacy and security should be at the top of your priorities when handling sensitive information, and AI powered redaction seems to be the future of privacy protection. Manual redaction is becoming obsolete due to slow processing, high data volume, and human errors.
So, it’s high time organizations started adopting AI-powered automated redaction to handle the complexities of data management.