André Lameiras, security writer at ESET, explains how businesses without the resources and technological expertise of large organizations can defend themselves against cybercriminals.
Running and growing a business is hard work even in good times, but times of crisis bring a fresh crop of challenges. And as our reliance on technology for so many aspects of our lives increases, so does the realization that global or even regional crises and emergencies will ultimately have ramifications in the digital realm.
Two years ago, many lives and livelihoods were suddenly left hanging in the balance with nary a warning. The COVID-19 pandemic revealed our collective fragility and the inevitably pell-mell rush to off-site working put the resilience of many businesses to the test, all the while creating fertile ground for cybercrime.
The pandemic hasn’t run its course yet, and cybersecurity practitioners are sounding the alarm about another global hazard – the risk of major cyber-fallout from the war in Ukraine that may disrupt the operations of organizations in the world and in some cases trigger a cascading crisis.
The risk is acute for government agencies and multinational corporations all the way to perhaps the most vulnerable – small and medium-sized businesses (SMBs). Devoid of the resources of their larger brethren, small companies may find it particularly difficult to defend themselves against cybercriminals or to bounce back from a successful attack.
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity.
This article explains cybersecurity and its challenges and impact of AI and MI on cybersecurity: cybersecurity professional
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Cybersecurity challenges are rising with the neck-breaking speed along with the expansion over the internet.
Cybercriminals are breaching the computer systems and networks of individuals, businesses and organizations.Read more : Big increase in cyber attacks during the covid-19 Pandemic
