In today's fast-evolving cybersecurity landscape, enterprises face the daunting challenge of maintaining robust security protocols while adapting to sophisticated threats and growing network complexities. Fortinet, a global leader in broad, integrated, and automated cybersecurity solutions, has made a significant leap forward by expanding its
In today's digital landscape, the increasing sophistication of cyber threats necessitates a shift towards more robust security measures, particularly when it comes to protecting identity systems. One of the pressing challenges facing cybersecurity professionals is the emerging threat from the LUCR-3 group, also known as Scattered Spider. These
AI systems thrive on vast amounts of data, which must be accessible, processed, and evaluated quickly and securely. As organizations accelerate AI operations, the requirement to transform data management overwhelms even the most advanced enterprises, forcing many to expand their security efforts and consider cyber resilience when selecting
Machine learning (ML) has become a critical component in driving innovation across sectors such as healthcare, finance, and technology, providing exponential growth in data analysis and automation capabilities. However, the increasing dependency on ML introduces new security challenges, necessitating scrutiny over the tools and frameworks employed
In a significant move aimed at governing transatlantic data flows and impacting thousands of tech companies, the European Commission has recently endorsed the EU-US data privacy framework. This new regulatory measure was formulated in response to the European Union's highest court's disapproval of previous data-sharing arrangements, such as the
Behavioral analytics has emerged as a transformative force in the realm of cybersecurity, particularly in enhancing incident response processes within Security Operations Centers (SOCs). Initially celebrated for its potential to revolutionize threat detection, behavioral analytics evolved significantly to play a crucial role in the post-detection