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How Cyber Resilience Reshapes Cybersecurity?

Cybercrimes are growing swiftly in the world of digitalization in both senses; complexity and rate of recurrence. In the idea of being resilient in an impulsive environment, an organization’s cyber security has to be updated with the latest technologies to protect IT Assets and Infrastructure setup. The old school security methodologies cannot be an answer for new-age sophisticated cybercrimes. The organization having a robust cybersecurity resilience strategy in place is a must that enables the continuity of business processes in all situations (before, during, and after a cybersecurity incident).

As per the research conducted by Cybersecurity Ventures in 2021, there will be one company that falls victim to a ransomware attack every 11 seconds. 

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Remote Cybersecurity: Threats and Best Practices While Working From Home

COVID-19 has transformed how companies operate today. With 50 percent to 90 percent of staff working remotely, organizations are now looking at remote work as the new working style in the future. While working remoting has its benefits, one of the biggest challenges it presents is cybersecurity problems. Businesses face remote cybersecurity issues like protection of data, networking challenges, and issues with cloud computing. 

OpenVPN conducted a study recently which showcased that 90 percent of IT professionals believed that remote workers are not secure. Because every remote worker works on a different network, which may not be secured, employee security issues are a major concern. Working from home issues involve working from public networks and personal devices, which possess a multitude of security vulnerabilities.

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Fuzzers: A Taxonomy

Fuzzing is an important capability in cybersecurity vulnerability analysis. You can use it to test applications, libraries, network services, you name it. There's a variety of tools available out there for this kind of thing, spanning both the open-source and commercial markets. That said, they still generally take a bit of work to apply to a specific problem.

Interestingly, though it's an approach equally applicable to more traditional software quality assurance, fuzzers have been more actively adopted by the cybersecurity research and development community than software testers. I'm not entirely sure why this is, but I suspect that it's because fuzzing is a much more efficient approach to vulnerability discovery when working with black-box software components than alternatives like source code analysis (especially as you'll only have access to disassembly or decompiled code rather than original code in black-box work).