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Knowledge is power. Power is money. In the context of information systems and applications, knowledge is ingested, processed, and used as data. Data theft or loss can be devastatingly costly to a business. Data is one of an organization’s most valuable assets, and must be secured and protected as such.
The challenge of telling humans and bots apart is almost as old as the web itself. From online ticket vendors to dating apps, to ecommerce and finance — there are many legitimate reasons why you'd want to know if it's a person or a machine knocking on the front door of your website. Unfortunately, the tools for the web have traditionally been clunky and sometimes involved a bad user experience.
Anyone can get scammed. If you think you're somehow immune to being scammed, then, in my opinion, you're a prime target for being scammed. No one is too big, too clever, too security-savvy to avoid being duped because it's only human to make a mistake and screw up. And that certainly seems to be the case with Bill Lou.
One of the top security concerns we hear from technology leaders is about the security of open source software (OSS) and cloud software development. An open source vulnerability scanner (for scanning OSS) helps you discover risk in the third-party code you use. However, just because a solution scans open source does not mean you are ultimately reducing security risk with it.
Virtual reality (VR) and augmented reality (AR) technologies capture everyone’s imagination with use cases and an unlimited potential for future implementations. While these concepts have been around for decades, they continue to be buzzwords with a fascinating flavor of science fiction. The truth is that the VR and AR combination is close to mainstream adoption these days, with plenty of examples of successful projects creating ripples in ecommerce, entertainment, and many other industries.