Your business runs on a SaaS (software-as-a-service) application stack, and you learn about a new SaaS tool that promises to boost productivity and streamline one of your most tedious processes. The temptation is to sign up for the service, click “install,” and figure out the rest later. This approach sounds convenient, but it also exposes you to significant risk. Each new integration acts as a bridge between different systems, or between your data and third-party systems. Th

Even the most powerful IT hardware today will eventually become outdated or faulty and will need to be retired. However, these retired servers, laptops, and storage devices hold a secret: they contain highly sensitive data. Simply throwing them in the recycling bin or donating them without preparation is a compliance disaster and an open invitation for data breaches. This process is called IT Asset Disposition (ITAD). Simply put, ITAD is the secure, ethical, and fully documen

We all agree that public AI tools are fantastic for general tasks such as brainstorming ideas and working with non-sensitive customer data. They help us draft quick emails, write marketing copy, and even summarize complex reports in seconds. However, despite the efficiency gains, these digital assistants pose serious risks to businesses handling customer Personally Identifiable Information (PII). Most public AI tools use the data you provide to train and improve their models.

Picture this: your business’s front door is locked tight, alarm systems are humming, and firewalls are up, but someone sneaks in through...