It's a familiar challenge for businesses: how do you build customer loyalty and a strong user experience while also making sure that their data is protected? Sustainable success depends on mastering this delicate balance. Instead of choosing one over the other, the goal is to optimize data protection without hindering your ability to engage customers and drive growth.
Cyberscams can be incredibly well-crafted and dangerous, and a significant portion of this danger stems from the scammer's ability to effectively utilize the psychological triggers that we all possess to some degree. Modern security training tends to focus on what signs we all need to keep an eye out for—and for good reason—but it does little to explore why modern scams are as effective as they are.
Let’s fix that by taking a moment to examine the tricks the scammers play so you can be that much more prepared to stop them by understanding how they work.
There are a few occasions that we get a very apparent example of how important basic cybersecurity is, regardless of where you are, and this year’s National Football League draft is one such example.
For those who don’t follow the NFL or the draft proceedings, multiple draftees received prank calls during the process, although one in particular is applicable to businesses of all kinds. Let’s examine this situation to reinforce a few critical cybersecurity best practices.
Bring Your Own Device, or BYOD, is a common approach for businesses that want to take advantage of mobile technology to kickstart productivity. Instead of supplying each individual employee with company-owned devices, businesses allow employees to use their own devices for work-related purposes. While this is great on the budget, it’s only really effective (and safe) if the employee prioritizes security on their devices; otherwise, it’s a liability.
We’ve all had to confirm we’re not a computer when attempting to log into an account. This is the core purpose of what once was called CAPTCHA… the Completely Automated Public Turing test to tell Computers and Humans Apart. However, it seems surprising that computers don’t easily overcome these simple-seeming tests.
Let’s dig into why these simple tests actually are effective at differentiating between human users and automated bots.
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