Anomaly Detection

The cybersecurity landscape is rapidly evolving, presenting new challenges and opportunities for organizations worldwide. As we approach 2025, one of the most significant developments involves the dual role of artificial intelligence (AI) in both enhancing and threatening digital security.

In an era where big data plays a pivotal role in driving business success and innovation, ensuring data integrity is more crucial than ever to maintain accurate decision-making, prevent financial losses, and uphold operational efficiency. The challenge of identifying and rectifying errors within

As we navigate through an era of rapid technological advancement, safeguarding digital systems against sophisticated cybercriminal tactics becomes increasingly challenging. These malicious actors aim to disrupt the functionality of information and telecommunication systems by manipulating software

The Internet of Things (IoT) and embedded systems are rapidly evolving, driven by the need for sustainability and robust security measures. The Eclipse Foundation's 2024 IoT & Embedded Developer Survey sheds light on these trends, revealing how developers are navigating the complexities of

Adversarial Machine Learning (AML) in cybersecurity represents a critical field of study aimed at understanding and mitigating the risks associated with malicious manipulation of machine learning (ML) models. As ML becomes more prevalent in enhancing security protocols, adversaries are increasingly

The proliferation of Internet of Things (IoT) devices has revolutionized connectivity and accessibility, yet this surge also exposes critical vulnerabilities to zero-day attacks that evade traditional security measures. As IoT continues to integrate into everyday life, safeguarding network