As a CTO with over one and a half decades of expertise in the ever-changing field of cybersecurity, I have been observing the immense impact that artificial intelligence (AI) has had on the wide technological landscape. Also, I have witnessed how AI-based solutions have emerged as a crucial aspect of enhancing processes in various fields and disciplines over the years. And the cybersecurity field is no exception. The ability of AI-based machine learning (ML) models to identify patterns and make data-driven decisions and inferences present a highly innovative approach to quickly identifying malware, directing incident response and even predicting potential breaches before they occur. Given the significant potential of AI in the field of cybersecurity, this article explores how AI fits into the broader cybersecurity landscape and how it can be effectively leveraged to enhance the security of businesses and their users, along with some of its limitations.

The education and learning system has undergone significant changes since the outbreak of Covid-19. Online learning has become more prevalent as many schools and universities have shifted their classes online, using video conferencing and other digital tools to deliver instruction. Since the pandemic, some institutions have adopted a hybrid approach, combining both online and in-person teaching. This has led to an increased reliance on technology in the classroom, and professors have had to learn how to use new technology tools, including AI platforms, to effectively teach in an online environment. And these AI, and other emerging technologies,systems are incredibly important when we talk about security of the learning space.

Hari Ravichandran is the CEO and Founder of Aura, a leading provider of comprehensive digital security solutions for consumers. One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business models, including now offering subscription services and starter kits. The use of large language models (LLMs) like ChatGPT to write malicious code also highlights the potential challenges to cybersecurity. Because of these threats, all business leaders in today's digital world must be knowledgeable about the developments of AI in cybersecurity.

The rapid digitalisation accelerated due to the pandemic has brought numerous benefits like improved business agility and customer experiences. But there have also been negative effects like increased vulnerability to cybersecurity threats for your data and applications. A cyberattack is a malicious and deliberate attempt to breach the computer and information systems of an individual or organisation, disrupting the victim's network for personal gain. One of the biggest concerns with the development of Artificial Intelligence is the probability that attackers will weaponise AI and use it to expand and boost their cyberattacks. Cybercrime and cybersecurity landscapes are changing rapidly and boosting AI developments for enhancing cybersecurity will be a major gamechanger to protect against cyber-attacks.

AI and machine learning (ML) have become crucial technologies in information security, with security tools analyzing data from millions of cyber …

Artificial intelligence (AI) is proving to be one of the most influential and game-changing technology advancements in the business world. As more and more enterprises go digital, companies all over the globe are constantly engineering new ways to implement AI-based functions into practically every platform and software tool at their disposal. As a natural consequence, however, cybercriminals too are on the rise, and view the increasing digitization of business as wide open window of opportunity. It should come as no surprise, then, that AI is affecting cybersecurity – but it's affecting it in both positive and negative ways. Cybercrime is a massively lucrative business, and one the greatest threats to every company in the world.