Data Redaction for Clinical Trial Documents.This article looks at Data Redaction and how it will help you safeguard sensitive customer data. In such cases, Data redaction is a suitable technique to overcome the problem. However, businesses holding extensive database facilities with vast amounts of physical data can have a painfully slow and cost-prohibitive manual editing process. Sensitive data must be removed from public view to prevent identity theft and fraud attempts from malicious parties. There are different data anonymization tools available to anonymize data, depending on what type of data you need to anonymize.Īt a time when virtualization and the rise of cloud computing have made the storage, access, preservation, and backup of data centralized, ensuring the protection of privacy becomes critical. But in data anonymization, the information is masked, whereas in data redaction the information is completely removed. Sometimes it is also misinterpreted as data anonymization. For example, if you want to log all agent uploads in formatted JSON, add the following line to your agent configuration file (by default at /etc/sigsci/nf): debug-log-uploads = 2Īdditional information about agent configuration options can be found here.Data redaction is the process of hiding and protecting sensitive information by using advanced analytics techniques such as Natural Language Processing (NLP) and Named Entity Recognition (NER). You can also verify directly from the agent itself by setting the debug-log-uploads agent configuration option. To allow for easy verification of what the agent sends to the backend, Signal Sciences provides a way to view all agent to backend communication. Change the Field name and Field type as needed.Click View to the right of the custom redaction you want to delete.From the Field type menu, select the type of field to be redacted ( Request parameter, Request header, or Response header).In the Field name text box, enter the name of the field to be redacted.From the Site Rules menu, select Redactions.For example, if your password field is named “foobar” instead of “password”, that field can be specified for redaction. In addition to the redactions listed above, you can also specify additional fields to redact from requests. Redacted patterns are replaced with the word REDACTED highlighted in yellow. Within the console we clearly display which patterns have been redacted. Signal Sciences automatically redacts known patterns of sensitive information, which includes the following: Redacted parameters are replaced with the word REDACTED highlighted in yellow. The console clearly displays which parameters have been redacted. The initial request: POST /example HTTP/1.1 If a request contains an attack or anomaly, and also contains sensitive data in commonly-used parameter names, Signal Sciences will redact the entire contents of the sensitive parameter. What’s sent to Signal Sciences: POST /example HTTP/1.1 User-Agent: Mozilla/5.0 (Macintosh Intel Mac OS X 10.10 rv:35.0) The initial request: POST /example?sort=ascending HTTP/1.1 Query strings from referer and location.Any names that contain: -token, -auth, -key, -sess, -pass, -secret.Explicit names: authorization, x-auth-token, cookie, set-cookie.Signal Sciences redacts the following from requests: Additionally, specific portions of the request are automatically redacted and never sent to the backend, including tokens, credentials, and known patterns such as credit card and social security numbers. Once the agent identifies a potential attack or anomaly in a request, the agent sends only the individual parameter of the request which contains the attack payload, as well as a few other non-sensitive or benign portions of the request (e.g., client IP, user agent, or URI) The entire request is never sent to the Signal Sciences backend. Only requests that are marked as attacks or anomalies are then sent to the Signal Sciences backend after additional filtering and sanitizing are done. The Signal Sciences agent filters requests locally to determine if they contain an attack. To maintain Data Privacy, Signal Sciences redacts sensitive data from requests before they reach the platform backend.
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