Massive Increase In Cyber Threats Fueled By Use of Unsecured Work-From-Home Devices

An article by CIO Look cites an IBM report showing a 400% increase in cyber threats since the onset of the pandemic. According to the article, one of the major factors contributing to the rise in the use of unsecured work-from-home devices and networks is the use of unsecured work-from-home devices and networks. Another survey indicates that 80% of IT leaders agree with that assessment.

The full-time home or hybrid work schedule shows no signs of reversing. As a result, companies must secure more devices and connections in more locales.

The average data breach cost is an estimated $4.24 million, but the financial impact is just the beginning. Companies that don’t adequately protect their data face regulatory scrutiny, lawsuits, loss of customer trust, and brand erosion.

The article identifies key vulnerabilities in unsecured work-from-home devices. First on the list is the use of weak passwords that are easily compromised. Hackers use sophisticated software to crack passwords. Another frequent problem is the use of unsecured Wi-Fi networks. Many remote workers neglect to update their device software and their home routers. Phishing attacks are common.

The best defense is a comprehensive cybersecurity strategy tailored to remote work environments. Regular training sessions can help home workers identify phishing attempts and upgrade passwords.

Employees should be encouraged to use Virtual Private Networks (VPNs) when they access company data. Multi-factor authentication is a must, and companies should enforce policies requiring employees to update their devices with the latest security patches, including apps and antivirus software.

Investment in tools that monitor device access and data transfers to detect unusual activity will pay off with increased security. The transition to remote work and the accompanying rise in cyber threats make robust security measures and employee training especially important for safeguarding company data.