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.
The modern age thrives on data, but not every organization is currently equipped to effectively manage and safeguard this critical digital asset. To ensure your privacy and compliance obligations are met without preventing or inhibiting authorized user access, your organization needs a governance framework built on the essential policies discussed in this article.
Could your team benefit from a little extra help? If your team is struggling to implement key initiatives while still supporting your everyday operations, you may want to consider partnering with an external virtual team.