What is Data Privacy Automation
We live in an age where the digital world is part of all our lives. One might say that it is the most important aspect of our lives. There’s barely a person now without a digital device of some kind – mainly a smartphone – but many of us have smart watches and other similar devices as well. How is this related to Data Privacy? Simple – the more devices there are, the more access points for security breaches and hackers to get into.
With this new digital age come new problems, such as the challenge of adhering to evolving data privacy regulations – Privacy laws like the General Data Protection Regulation (GDPR) that has catalyzed the shift towards Data Privacy Automation (DPA) are just one of the many side-effects of this constantly evolving digital age. Speaking of DPA – it fortifies the trust between companies and their consumers while ensuring compliance with privacy laws at the same time.
Implementing Data Privacy Automation
Now, let’s talk about Data Privacy Automation-Depending on the organizations’ immediate compliance goals and long-term data privacy strategies, each company and organization might choose between two different options in privacy compliance solutions – building in-house systems tailored to their existing processes… or deploying commercial off-the-shelf tools customized to their specific requirements. By choosing to automate data privacy compliance, companies can significantly enhance efficiency and accuracy in adhering to evolving regulations while minimizing the risk of human error.
This approach might be a bit limited in scalability – which may pose challenges for expanding and ever-growing organizations. As such, it isn’t always recommended. These custom-built solutions (such as SharePoint) are used to develop data privacy systems like Consumer Request Management, for example.
Commercial Off-the-Shelf Solutions
Commercial off-the-shelf data privacy software is usually the better choice, as it offers a more long-term, sustainable solution that offers a broader scope and caters to companies that are aiming beyond mere compliance to encompass a comprehensive data privacy network. These tools are created to automate tasks like data classification, privacy compliance assessments, and incident management – all of which are critically important. This streamlines the privacy management process.
Core Principles Guiding Data Privacy Automation
Data Privacy Automation tools (DPA tools for short, which we’ll use going forward) should ensure that individuals are informed about and consent to data collection and use – have access to their data – and can challenge its accuracy by embodying fundamental privacy principles. Demonstrating diligence in data integrity and loss prevention helps organizations in more ways than one – it ensures customer trust and helps comply with aforementioned laws.
Best Practices in Data Privacy Automation
With how many privacy risks stem from IT processes – IT departments must engage in privacy management as well. They are typically focused on data security, which makes this process a bit easier, but it is crucial for a holistic approach.
Risk-Centric Approach Over Compliance-Centric
Compliance with the aforementioned laws is important – however, it isn’t as important as actually protecting data. Managing privacy-related risks should be the primary goal – always. Just adhering to compliance might provide a false sense of security, and many companies don’t go beyond this level – but it is advised that they go beyond it and focus on risk management.
Focusing on Scalability and Proactive Management
With limited resources, organizations should automate routine tasks to free up time for proactive risk management and scalability in privacy operations.
Advancing Data Privacy Automation: Tackling Challenges and Regulatory Evolution
There are pros and cons to every system, and DPA is not exempt from it. Mainly, this comes in the form of the various challenges that these companies might run into while trying to automate data privacy, especially in implementing data retention policies. Regulations are always evolving, changing, and becoming more strict, and it demands vigilance and adaptability from these companies to keep up.
Data Peace Of Mind
PVML provides a secure foundation that allows you to push the boundaries.
Challenges in Data Privacy Automation
As already mentioned, the implementation of data retention policies is one of the bigger issues that companies face when trying to do DPA.
Using tools to manually and automatically aid with flagging and cataloging data for deletion is the best way to tackle these challenges. However, these processes usually remain fairly manual tasks – but using software certainly helps with the parts that can be automated.
The review and deletion parts of these challenges remain largely manual tasks – removing some need for further automation. However, a mix of automated and manual processes with commercial tools that aid in data cataloging and flagging data for deletion is usually the best option to tackle these challenges.
To conclude, DPA, or Data Privacy Automation, is one of the most important parts of modern data governance. To maintain trustworthiness and comply with regulations like the GDPR and HIPAA, companies must constantly evolve their technologies in order to keep up, and DPA is no exception to this rule. Staying ahead in data privacy management can also help with staying ahead of the game when compared to other companies – showing that you care about your customers’ data improves your relationship with customers as opposed to companies that do not, obviously. It’s not just a regulatory requirement anymore.