rocket domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /mnt/data/vhosts/casite-1427374.cloudaccess.net/httpdocs/wp-includes/functions.php on line 6114Data privacy has been a growing requirement ever since the internet age began. So much personal information is flying around through computer networks. Protecting it has become a mandate.<\/p>
Most companies must follow HIPAA, GDPR, or another industry or locality-based privacy rule. By the end of 2024, 75% of<\/a> the world\u2019s population will have their personal data protected. It will fall under one or more privacy regulations.<\/p> You don\u2019t need to be a large enterprise organization to have data privacy compliance at the top of your mind. It goes hand in hand with cybersecurity. Additionally, privacy requirements hit all sized companies.<\/p> Between July 2020 and July 2021, GDPR violations rose by 113.5%<\/a>. The number of associated fines also jumped, by 124.92%. When it comes to HIPAA violations, each incident can carry a penalty between $100 to $25,000<\/a>.<\/p> It\u2019s important to make data privacy a priority and factor it into all your data collection processes. When companies collect, send, or store personally identifiable information (PII) it needs protection. This means putting adequate safeguards in place.<\/p> To stay on top of your privacy compliance obligations, you should also keep up with trends in this area. Next up, we\u2019ve documented the biggest data privacy trends happening in 2023 that you should be aware of.<\/p> <\/p> Approximately 40% of<\/a> privacy compliance technology needs artificial intelligence (AI) to operate. AI has certainly made its way into many of the applications we use on a daily basis.<\/p> When you\u2019re typing in MS Word and text just springs up as a suggestion, that\u2019s AI predicting what you\u2019ll type next. When working on a photograph in Photoshop, you can now click a button to give a frowning face a smile. This is also the work of AI.<\/p> So, it\u2019s no surprise that AI is running many of the algorithms responsible for keeping data protected. But what happens when there is a problem with the AI?<\/p> This is the question that AI governance is working to address. This is a new trend in data privacy because AI has never been so prevalent throughout the data journey as it is now.<\/p> Whenever AI is used in the data protection area, organizations need to govern it properly. This helps ensure that automated processes aren\u2019t accidentally exposing sensitive data.<\/p> A trend that we\u2019ve seen over the last several months is putting more privacy power into the consumer\u2019s hands. Many privacy regulations require that apps and websites provide data transparency. They need to tell people what data they\u2019re collecting, how they\u2019re collecting it, and what they do with it. People also need an \u201cout\u201d to get their data back.<\/p> These needs have led to consumer privacy UX becoming a \u201cthing.\u201d You can think of this as a centralized privacy portal. A place people can access privacy-related settings in various apps. This gives better visibility into how their data is being used.<\/p> The pandemic has forever changed the global workforce. Many organizations are now running completely remote offices. Or may be using a mix of remote and in-office staff. The dramatic increase in people working from home has led to data collection changes. Companies are ramping up their monitoring of those employees working off-site.<\/p> But this type of monitoring opens a can of worms when it comes to data privacy. Organizations need to ensure that they aren\u2019t encroaching on the rights of their staff. This is most pertinent when putting monitoring in place on employee devices.<\/p> For example, approximately 49% of<\/a> remote employees use their personal computers for work. Companies often put endpoint device monitoring in place for security reasons. They need to ensure they are not gathering or backing up any personal data. That would be data owned by the employee and not the company.<\/p> One of the concerns when the social app TikTok became popular relates to location. With the firm being a China-based company, people worried about the privacy of their data. The data was originally stored on servers governed by the Chinese government. A country with very different data privacy rules than the US and other countries.<\/p> Data localization is going to become more prevalent. Increasingly organizations look at where their cloud data is being stored. Where a server resides governs the privacy rules and regulations that it may fall under. Thus, companies and governments are now asking a question of cloud providers. This is, \u201cWhere is my data stored?\u201d Many want their data to be as close to home as possible.<\/p> Data privacy by design is a fairly new term. Using privacy-enhancing computation is a way that AI is helping cybersecurity. By using PEC as a built-in component of software and apps, developers provide value to clients. They address privacy concerns by making data protection more automated.<\/p> Look for PEC components in data analytics when shopping for business tools.<\/p> How are your data privacy protections? Are you risking a penalty due to lax controls? Give us a call! We can help with a compliance checkup.<\/p> <\/p>What\u2019s Happening in Data Privacy Compliance?<\/strong><\/h2>
AI Governance<\/h3>
Consumer Privacy UX<\/h3>
Increased Scrutiny of Remote Employee Monitoring<\/h3>
Data Localization<\/h3>
Privacy-Enhancing Computation (PEC)<\/h3>
When Is the Last Time You Had a Compliance Check?<\/h2>