In January 2020, the Food and Drug Administration (FDA) issued a guidance entitled Chemistry, Manufacturing, and Control (CMC) Information for Human Gene Therapy Investigational New Drug Applications ...
Managing application risk has a lot to do with managing data. To mitigate application risks, it’s necessary to gather data from heterogeneous and sometimes far-flung sources—data about assets, ...
Cybersecurity evolves daily to counter ever-present threats posed by criminals, nation states, insiders and others. To address the changing threat landscape, the National Institute of Standards and ...
Successful risk management is essential to the design and development of safe and effective medical devices. Unfortunately, it is too often viewed by manufacturers as an isolated activity that must be ...
Qualys, Inc. today announced TotalAppSec, its new AI-powered application risk management solution to enable organizations to monitor and mitigate cyber risk from critical web applications and APIs.
The passage of the American Recovery and Reinvestment Act of 2009 incents hospitals and other providers that implement and demonstrate meaningful use of healthcare IT. As a result, more and more ...
Risk management is the process of identifying, analyzing, and mitigating uncertainties and threats that can harm your company or organization. No business venture or organizational action can ...
“Today’s DevSecOps coding environment has a problem,” said Idan Plotnik, cofounder and CEO of Apiiro. It’s a big problem — many development, security, and compliance teams have no idea of the business ...
“There is a need for a risk management system that integrates the information and data from a variety of sensors feeding into the IoT, such as, for example, from autonomous vehicles, drones, sensors ...
Qualys, Inc., Redwood City, Calif. Web applications and APIs have reshaped the digital landscape and significantly contribute to enterprise risk. According to the 2024 Verizon DBIR Report, web ...
“There is a need for a risk management system that integrates the information and data from a variety of sensors feeding into the IoT, such as, for example, from autonomous vehicles, drones, sensors ...