Protecting Data Together

Protecting Data Together A team playbook for securely handling your company's data Sensitive data is constantly flowing throughout your company like water. Trying to protect something that’s constantly moving here, there and everywhere can be a challenge. Read on to find out how to protect every drop of data – wherever it flows. All hands on deck It’s easy to think that data protection is someone else’s job. But safeguarding critical data is a team effort requiring everyone in your company to row in the same direction. Some of the biggest data breaches in history were the result of an employee, a team or a supplier just trying to “get the job done.” But getting things done should never come at the expense of your organisation’s security. Working the right way means understanding where your data is, how to handle it and how to protect it – at all times. We’ll show you how to get started. % of employees said they would be willing to bypass cybersecurity guidance if it helped them or their team achieve a business objective. – “Gartner Predicts Nearly Half of Cybersecurity Leaders Will Change Jobs by 2025”, February 23, 2023 It’s 10:15 a.m. on a Monday. You’ve already responded to 15 emails, finished a report with a coworker, performed five web searches and been in three different online meetings. Just then you hear a Ding! and look over at your phone. Nancy, a vendor, asks you to send over a spreadsheet that your manager shared with you. Should you send it? Why or why not? And if you do, what’s the safest way to do so? Your company’s security team thinks a lot about these kinds of questions. And it’s a big task. They’re responsible for managing and protecting a never-ending flood of spreadsheets, emails, photos, documents and more – a deluge of data that gets bigger by the day. But they can’t do it alone. Why? Because protecting data is a team effort – the responsibility of every single person in your company. How you handle certain types of data in the moment could have no impact or it could yield disastrous consequences. And knowing the difference will make all the difference. Data, data everywhere