Organisations faced a number of unforeseen challenges in nearly every business sector throughout 2020 – and continuing into 2021. Until now, businesses have been on the defensive, reacting to the shifting workforce and economic conditions, however, COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalisation plans.
This is now giving decision-makers the chance to take a proactive approach to mitigate current and post-pandemic risks. These long-term technology solutions can be used for today’s new world of social distancing and face mask policies and flexibly repurposed for tomorrow’s renewed focus on efficiency and business optimisation.
For many, this emphasis on optimisation will likely be precipitated by not only the resulting economic impacts of the pandemic but also the growing sophistication and maturity of technologies such as Artificial Intelligence (AI) and Machine Learning (ML), technologies that are coming of age just when
Human beings have a long-standing relationship with privacy and security. For centuries, we’ve locked our doors, held close our most precious possessions, and been wary of the threats posed by thieves. As time has gone on, our relationship with security has become more complicated as we’ve now got much more to be protective of. As technological advancements in security have got smarter and stronger, so have those looking to compromise it.
Cybersecurity
Cybersecurity, however, is still incredibly new to humans when we look at the long relationship that we have with security in general. As much as we understand the basics, such as keeping our passwords secure and storing data in safe places, our understanding of cybersecurity as a whole is complicated and so is our understanding of the threats that it protects against.