Behavioural analytics in cyber security has emerged as a powerful tool for identifying and mitigating human risks. By focusing on how humans interact with systems, user behavioural analytics offer a proactive approach to threat detection, ensuring a more secure digital environment for businesses.

Cyber security threats are increasingly complex, and while external attacks like phishing and malware often take centre stage, insider threats are emerging as a significant concern. Insider threats are risks originating from within an organisation, which pose unique challenges. They exploit an insider’s knowledge of systems, processes, and vulnerabilities, making detection and prevention particularly challenging.

In an era where password breaches have become all too common, Multi-Factor Authentication (MFA) has emerged as a critical layer of security. MFA provides an authentication method that requires users to present multiple forms of identification before gaining access to systems, which is considered a more robust defence against cyber attacks. However, as cyber criminals evolve tactics, MFA is no longer impervious to threats, particularly phishing attacks that exploit vulnerabilities.

Software as a Service (SaaS) applications have become indispensable for organisations in today's digital landscape. From collaboration tools enabling better communication, to SaaS applications that streamline operations, enhance productivity, and support remote work. However, their convenience comes with significant security challenges—many of which stem from human errors, insider threats, and inadequate configuration practices.