Malware attacks are becoming an all too common headline in the media. Fox Business reported that ransomware attacks have risen 32% in North America in 2021 alone. This unfortunate trend is not exclusive to North America, but instead these malicious cyberattacks are on the rise all across the globe.
Imagine that you have just received that dreaded notification. As you were wrapping up your workday, a small window popped up on your computer screen and notified you that your network had been infiltrated. Now what?
Over a year ago, COVID-19 shuttered workplaces worldwide, dispersing teams as employees traded cubicles and open plan offices for kitchen tables and spare rooms. With vaccination efforts well underway, many businesses are slowly bringing workers back on-site. However, without the right tools, this phased return can make it difficult for on-site and remote workers to communicate and collaborate effectively.
These days, a lot of infrastructure and security products claim to use AI. However, behind the curtain, what most products call “AI” (artificial intelligence) is actually machine learning or deep learning. Both machine learning and deep learning are incredibly powerful tools, capable of filtering through an enormous amount of information in incredibly short periods of time. This is critical for quickly and accurately detecting and responding to anomalies within a given environment.
To help ensure digital assets remain safe and accessible, even if your primary data center is compromised, all organizations should have a robust, flexible, and up-to-date disaster recovery plan in place. This living document should be updated regularly, and all key personnel should know what their responsibilities are, who is responsible for what, what assets are most critical, and what the overall recovery plan is.
