Welcome to our weekly roundup, where we share what you need to know about the cybersecurity news and events that happened over the past few days. This week, the EU and Japan finalized an agreement enabling the cross-border transfer of data. Also, businesses are turning to machine learning to combat data threats.
Read on to learn more.
Trend Micro recently conducted a global survey of IT and security decision makers. When asked about the top consequence to IoT security, many would have expected it to be data loss.
Now that corporate activities are increasingly taking place outside of the office, technology that enables real-time communication and collaboration among office workers and telecommuters is absolutely essential.
Scammers took advantage of tax season yet again this year as people rushed to file their returns on time.
A Singapore healthcare database was hacked in what is the country’s worst-ever cyberattack, with medical records of Prime Minister Lee Hsien Loong among those stolen.
Using advanced machine learning, Fraud Buster gives definitive ratings to questionable messages.
Russian hackers working for a state-sponsored group broke into secure networks owned by utilities.
In 2017, the IRS posted an alert notifying taxpayers about new email scams. Since, there have been a surge of phishing attempts.
Researchers at Northwestern University analyzed the habits of thousands of scientists using Dropbox.
Now that businesses have realized the benefits this type of strategy for their organizations, BYOD is becoming an increasingly powerful way to support efficient access and productivity.
The number of breaches filed by businesses based inside and out of the U.K. has increased dramatically.
The next trend in cyberattacks involves leveraging the computer power of users’ systems to mine a profit.
A reciprocal arrangement was finalized, establishing the equivalence of the EU’s GDPR and Japan’s Act on the Protection of Personal Information (APPI) and enabling data transfers between the two.
To address the vast amounts of threat data, security providers are turning to machine learning.
Are you surprised that companies are turning to machine learning to combat data threats? Why or why not? Share your thoughts in the comments below or follow me on Twitter to continue the conversation: @JonLClay.