The rapid adoption of Internet of Things (IoT) devices has revolutionised industries, enabling smarter operations across healthcare, manufacturing, and transportation. By 2030, an estimated 29.4 billion IoT devices will be in use globally, according to Statista, demonstrating their growing
Effective cybersecurity practices require organisations to identify and mitigate vulnerabilities within their digital infrastructure. Two key methods often employed are penetration testing and vulnerability scanning. While these techniques share a common goal—enhancing security—they differ significantly in methodology, scope, and
Artificial intelligence (AI) is redefining the cybersecurity landscape, and penetration testing is no exception. AI-powered penetration testing leverages advanced algorithms and machine learning to simulate real-world cyberattacks, identify vulnerabilities, and predict potential threats with remarkable speed and accuracy. This approach
Penetration testing, often referred to as pen testing, is a structured and simulated attack designed to identify and address vulnerabilities within an organisation’s digital infrastructure. Ethical hacking, the methodology underpinning pen testing, involves cybersecurity professionals utilising the same techniques as