How do I select a data privacy management solution for my business?
As businesses collect more personal data, concerns about their privacy are also increasing. People are realizing the value of their data and how it can be used for different purposes, and the way it is managed can have a huge impact on the reputation of businesses.
To select the right data privacy management solution for your business, you need to consider a number of factors. We spoke to several industry professionals to get their perspective on the subject.
Andrew Clearwater, Trust Director, OneTrust
With an increasing number of solutions available, you must first understand what you want to achieve. Understand which regulations to comply with, how privacy is structured within your organization, and what larger purpose your program relates to. For many organizations, the end goal is to be more trustworthy. The right integrated solution, such as OneTrust’s technology platform, can help you build a solid foundation for trust.
Find a smart solution: A privacy management solution should make your life easier. Look for a solution that will leverage technologies like AI and machine learning, streamline processes through automation, help implement governance policies, and learn from your organization’s usage. Ideally, your solution will also help you keep your finger on the pulse, with AI-powered research taking up much of the heavy lifting to help keep your program up to date.
Make it reproducible and scalable: The privacy landscape continues to grow, so privacy management solutions need to address today’s challenges and keep your program running smoothly, but also need to be able to adapt as your business evolves. needs and your use cases.
Embrace the community: Use cases come in many forms, and by sharing experiences, you can learn from others. A solution with a strong user community will be an invaluable resource for successful implementation and growth.
David Corrigan, Managing Director Data Governance, Quality and Privacy, Informatica
Modern data governance and privacy isn’t just about documentation and compliance, it’s about ensuring teams have consistent, reliable data, and delivering measurable value across the organization.
When selecting a data privacy product, CISOs should consider the entire data processing pipeline. Focusing on a single point opens up loopholes and increases risk. Not to mention the additional administrative work involved in managing multipoint solutions.
Always start with inventory. Are you clear about the data you have? Is it sensitive? Or perhaps it is only sensitive in certain contexts or when aggregated with other data. Being able to ingest data at scale, find it, and understand it is important if you want to be able to protect and govern it. It is essential that you can automate data discovery and classification, otherwise you simply won’t even cover 5% of your data!
Next, determine if the solution you are evaluating provides you with robust classification capabilities. Strong privacy and governance require risk profiles and policies and the ability to monitor and report on the use of data against them. Does it go beyond data and allow you to govern and protect AI and machine learning models as well?
Dimitri Sirota, CEO of BigID
To some extent, it depends on a number of factors – the size of the business, its global presence and, ultimately, the priorities of the business.
If you’re a small business, you’ll want a cloud-native privacy offering that can address multiple use cases, including cookies, managing consent and privacy preferences, rights, and data deletion. and privacy impact analysis. A number of providers offer these privacy offerings on demand, while some offer ad hoc solutions. Selecting a solution that will provide automation and precision for lasting privacy compliance is critical, especially for businesses that do not have a dedicated privacy office or limited resources to devote to privacy compliance.
For large businesses where privacy is seen as a complement to data security, you’ll want a security-focused, risk-aware privacy offering that can simultaneously meet needs such as retention, access management, data correction and minimization. These capabilities not only reduce the attack surface and help mitigate the risk of ransomware and data breaches, but complement more traditional privacy GRC functions such as PIA, RoPA, preference management, and rights management. data, while evolving to meet regulations and industry frameworks like NIST.