With businesses having moved much of their data into the cloud in recent years, transferring, collecting, and processing sensitive or personal information involves ceding some control over its security to the cloud provider. The processing phase is especially risky. Data at rest is protected by encryption, while data in transit is protected by SSL/TLS (secure sockets layer and transport layer security). Data in use, though, is more vulnerable. The risks of data breaches or leaks, unauthorized poland whatsapp number data access, and regulatory non-compliance come to a peak during this phase. For data collaborations to be successful, this is a key hurdle to overcome.
This is where PETs come into play. This group of tools has emerged to meet the needs of organizations that want to reap the benefits of dual- or multi-party data collaborations. While PETs can function independently, individually they tend to focus on solving a very specific problem. Implementing a single PET into an existing data collaboration platform is a complex task, and further deployments of other PETs into the platform would involve a similar challenge.
Organizations would be better off building their data collaboration system around a suite of PETs rather than applying a patchwork of individual tech integrations to their existing stack. Privacy and PETs must be ingrained as fundamental aspects, rather than retrospectively added. When embedded into the foundations of a collaboration platform, PETs enable powerful privacy-enhanced collaborative computing (PECC) capabilities. PECC is a facilitator of dynamic and efficient data collaborations that revolve around the principles of security, privacy, and trust.