According to research by Statista, over 80% of internet users in the US fear that their personal information is vulnerable to hackers. Data privacy defines how organizations and other entities collect data on other individuals, how they process it, for what purposes they collect and process it, how long they keep it, and how they protect it, to name a few. In the modern digital environment, data privacy certifications are essential since they impart the skills needed to become privacy specialists.

A coworking space, or communal workspace, enables professionals from different companies and industries to share the same office environment. These spaces first became popular among freelance workers, then became the preferred workplace for start-ups, but now, since the hybrid work model has become part of everyday life, companies planning to downsize or close offices see these places as their new workspace.

In our second Beyond Data podcast episode ‘Autonomous mass transportation and its impact on citizen privacy’, we will sit down with Beep’s Chief Technology Officer, Clayton Tino to explore the current landscape of autonomous vehicles (AVs), whether AVs truly can replace the human factor in public transportation, and how AV ethics can be holistically measured. Here we give you a snapshot of that fascinating discussion by digging into a few of the explored topics.

GDPR Regulation is an international Data Privacy law that upholds the rights of citizens of the EU. It gives citizens more control over how their data is used in the organization. If your company handles the personal information of people in the EU, then they are expected to comply with GDPR. Like any other regulation, GDPR too requires an organization to abide by the rules and requirements outlined in the law.

The insurance industry's business model is rapidly evolving as the latest consumer and business technologies deliver greater quantities of real-time data than ever before. McKinsey predicts that by 2030, processes like underwriting as we know it will cease to exist — machine and deep learning models will automate policies and reduce delivery time to seconds.

ISG recognized Trustwave as a Rising Star in Managed Security Services for Large Accounts in its recently released Provider Lens™ Quadrant Report on Cybersecurity Solutions & Services report. The ISG research evaluates strengths, challenges, and competitive differentiators across cybersecurity providers and solutions, and serves as a resource for IT decision makers tasked with improving the cyber resilience of their organizations.

Today we are proud to announce general availability of our patented cloud-based endpoint data loss prevention (DLP) solution. The release of endpoint DLP expands the already comprehensive Netskope DLP platform and represents a major milestone in data protection, as it enables customers to protect data anywhere, across their hybrid enterprise ecosystem and in the cloud. Let’s look at why this is so important.

Testing the relatively new function mocking feature of OPA revealed a vulnerability in the Go API, where the use of the WithUnsafeBuiltins function on the compiler object — a deprecated legacy function used to declare a set of function names as unsafe, and as such rejected in the policy compilation stage — could be bypassed by mocking a function, effectively replacing it with one of the functions deemed unsafe.

XML is a human-readable text format used to transport and store structured data. Tags and data structures are defined by users in self-describing documents that are universally parsable by any XML tool, giving developers a highly configurable mechanism for data representation. To build on XML’s limited base syntax, an author can define the structure and acceptable content of a document’s data using a document type definition (DTD).

APIs are a critical component of today’s development landscape because of their importance in microservices. Since modern software is often composed of various microservices, certain functionalities may be beyond the scope of an individual API. With an API gateway, we can aggregate those services to behave as if they were a single API, and return complex responses from disparate microservices through a single call to an API gateway.