Ensuring and verifying that your codebase is compliant with a particular coding standard or industry regulation can be a difficult and time-consuming process. However, by using a static code analysis tool — such as Helix QAC and Klocwork — you can generate a compliance report to see whether your codebase is compliant or not.
Suppose that you work for a government tax agency. You recently noticed that some tax fraud incident records have been leaked on the darknet. This information is held in a Kafka Topic. The incident response team wants to know who has accessed this data over the last six months. You panic. It is a common requirement for business applications to maintain some form of audit log, i.e. a persistent trail of all the changes to the application’s data to respond to this kind of situation.
In HeathTech apps, it’s often the case that you’re dealing with private or health-related data. This requires compliance with regulations, such as HIPAA in the United States. These regulations force you to handle sensitive data in a well-defined manner, so only specific people can read it, and if they do, it should be logged for later auditing.
Healthcare information is perhaps the most important data in our lives. Your health records can contain your medical history, results of tests and scans, and details of current health insurance. This data is a special class of personally identifiable information, and HIPAA is the law that protects it.
When you need to comply with functional safety standards like ISO 26262, you need to establish a compliance workflow. This is critical for both ISO 26262 semiconductor design and software design. In this blog, we breakdown how to handle complexity of semiconductor IPs in ISO 26262 compliance workflows.
The Health Insurance Portability and Accountability Act, or HIPAA for short, is a set of laws around handling health-related data in information systems. It defines safeguards, which are rules you have to follow when handling health data for your customers. There are three safeguard categories: All three categories have to be handled correctly if you want your API to be HIPAA compliant. In a companion article we covered those key requirements and how to build HIPAA complaint API platforms.
The Health Insurance Portability and Accountability Act, or HIPAA, is a federal regulation in the United States that protects healthcare data containing personal health information, or PHI. It also covers Electronic PHI, or E-PHI, which are digital records of this information. The ability to effectively using healthcare data is essential for improving patient outcomes, quality of care, resource allocation, revenues, and other operations.
