David Erel
November 30, 2022
As organizations focus on data privacy and security as a core part of their privacy regime, the decision to secure PII, PHI, PCI, and KYC data comes down to either building an in-house solution or buying a vendor solution to meet privacy requirements. The decision must come after considering various factors discussed in this article. The nature of data privacy is contextual and highly complex in today's changing times.
The techniques required by an enterprise to ensure adequate data privacy vary according to each business use case. It is ideal for a business to employ a variety of privacy-enhancing technologies (PET) and control measures to achieve the right balance between data utility and data privacy requirements of the user whose data is collected.
Such methods range from encryption, tokenization, and masking to more advanced techniques, such as auto-tagged data, data integrity, automation of data retention/expiration, cascading deletion requests, and others to protect sensitive personal information. Many organizations build something on their own (DIY) and can’t maintain it and keep up with privacy and security best practices as they go forward.
There's a range of solutions for handling and storing sensitive user data. The more sophisticated and secure solution, the more complicated the implementation. In the illustration below, multiple privacy-preserving techniques will include access control, de-identification, tokenization, encryption, and key management. On the left side, organizations will store everything in plaintext.
Data may be duplicated and scattered, and everyone can access it—a simple approach but without privacy. Enterprises lie somewhere in the middle of the two extremes. Unfortunately, too many lean to the left, hence we keep hearing about data breach news almost daily. Designing these technologies yourself from the ground up is probably more complex than you can imagine and it will shift your R&D focus to deal with infrastructure rather than focus on your organization's unique needs.
The leading technology businesses out there are solving the data privacy problem with zero-trust data privacy vault architecture. They are pioneering privacy engineering, they have big budgets and unique engineering power, and they shaped how it’s done today. You can just procure one without going through the hassle of building it. The following list discusses the primary advantages of outsourcing a data privacy vault:
Piiano sees the world differently, placing PII and sensitive data in the center without you having to compromise. Here’s why you should choose the Piiano Vault:
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When building in-house data privacy solutions, one needs to consider whether they have the required resources to build a better solution than the ones out there. The biggest technological challenge is building it for scale, performance, and resiliency. It truly sounds easy to implement, but software engineers are smarter than that, and the fact that the regulatory landscape is exceedingly dynamic makes it harder over time.
Piiano will help you implement privacy and security controls. We will also help you remediate existing applications by carrying out efficient data migrations and code changes, so adopting a vault is becoming easier than ever before. Your organization can focus on your core competency, leaving data privacy in the hands of experts!
VP R&D
David is a seasoned senior manager with a rich 20-year history in professional development, having worked at a broad range of companies including Intel, Check Point, EMC, and SentinelOne. He has a unique passion for the mix of managing software development teams and building cloud infrastructure.
Increased complexity as the number of keys and systems grow.
Adopt a centralized key management solution such as a Hardware Security Module (HSM) or cloud-based KMS to securely manage and control cryptographic keys at scale.
Ensuring secure and timely key distribution and synchronization at scale.
Automate key rotation processes to maintain synchronization, reduce human intervention, and minimize errors as the system grows.