Artificial Intelligence (AI) has rapidly gained popularity in recent years, revolutionizing customer service and user interactions. However, the rise of AI-powered technologies also introduces potential risks and challenges to cybersecurity. This article aims to explore those risks and provide insights as to how they can be mitigated, from an enterprise perspective.
In our last article, we talked about behavior-based security, a whole new approach to answer today’s security challenges by preventing an attack before it even happens. This may have seemed outlandish even a few years ago but is now a reality thanks to progress made in areas like Artificial Intelligence (AI), Machine Learning (ML), and Big Data technologies, providing the tremendous computational power required to finally get in front of an attack.
Traditional antivirus software is no longer enough to protect against today’s cyber-attacks. In our hyperconnected world, it only takes one wrong click to propagate to thousands of machines, evidenced by the WannaCry attack that infected roughly 230k machines in 150 countries after day one.
Every day, organizations are impacted by critical events, including operational interruptions, network outages, cyber attacks, natural disasters, or other emergencies. According to a recent 2021 report from BCI, in 2020 nearly 50% of businesses faced IT or telecom incidents that triggered their emergency communications plans, while over 45% dealt with adverse weather or natural disasters.
Following an unprecedented year, what’s to come for cybersecurity in 2021? The ripple effects of the global pandemic have created a new threat landscape. In March, 90% of CISOs we surveyed reported an increase in attack frequency.