Did you know that nearly 560,000 new instances of malware are detected every day? As cybersecurity advances, threat actors develop malware with new tricks that exploit weaknesses in an IT environment. Once the malware finds a loophole, it spreads exponentially like a disease, corrupting files, exfiltrating data, redirecting traffic to other destinations, and performing other malicious activities. Malware can spread at a jaw-dropping rate.
Details about cyberattacks on small-and-medium-sized businesses (SMBs) may not make it to the headlines, but numerous industry reports and surveys have highlighted the grim reality of the SMB cybersecurity landscape. Even before the COVID-19 pandemic, SMBs were largely targeted by adversaries1.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In this edition, we explore one of the evolving privacy-enhancing techniques called differential privacy and how it’s being leveraged by organizations to safeguard sensitive data from being exposed. Cutting-edge technologies based on artificial intelligence and machine learning have been gaining traction in recent years.
In a world of automation, computers and the data on them have become the backbone of many organizations. But data is a double-edged sword. It can be leveraged by organizations to improve operations, but in the wrong hands, it can be a deadly weapon for hackers. So how do organizations ensure their data is safe?
In March this year, organizations employing Microsoft Exchange were in for a shock when Microsoft announced that a hacker group was gaining access to organizations’ email accounts through vulnerabilities in its Exchange Server email software. The group tried to gain information from defense contractors, schools, and other establishments in the U.S.
