The Future of Data Integrity

TDE​ 2 – Requirements for Success

February 25, 2020

Requirements for success

In our previous post, we introduced the concept of asset data sealing and the pains that drive the need for it. Another big take away is that data increases in value if its in use rather than just more storage, just like a plane that is grounded or any other asset that isn’t utilized. For data assets, their use is often in making decisions for people, products or processes. However,  if the outcome of a decision is uncertain due to the uncertainty of the data’s integrity, the anticipated value of the data itself is decreased.

So, what is the solution? Let’s first establish the key requirements of a trusted data exchange.

Data Integrity against Risk

When looking at data integrity it is reasonable to assume that the data whose integrity can be verified has a higher perceived value to the recipient. The recipient can exclude risk of tampering of data and utilize it. Reducing the associated uncertainty of data increases its inherent value as negative outcomes can be avoided.

Sped Up Processes

When talking about speed we mean that processes flow without interruption in the shortest viable way. Processes yield the greatest returns when assets are moving and in use. This can’t occur if they are stopped or halted to be put under scrutiny until uncertainty has been resolved. This incurs not only the cost of making sure but also the cost of assets that are not utilized until the process can be resumed. This could be a legal team reviewing the data supplied or and auditing partner or any kind of middleman. Further, current verification processes are costly slow and have the capacity for human error to go undetected.

Regulatory Compliance

Cybersecurity is a comprehensive term that covers many layers of solutions in organizations. There are several forces driving greater development and adoption of cybersecurity practices and products in organizations. One is regulatory compliance. Regulators in every country enforce organizations to implement measures to secure their data. Organizations not adhering to regulations may incur high penalties, as seen in GDPR for HIPAA fines, as seen in the cases such as British Airways and Google. So, the organization in question would want to make sure that data integrity is sufficiently guarded as it is part of the regulatory pressure.

Further to adhere to regulations and keep full control over their data the mechanism used to prove or verify the data’s integrity must not disclose any relevant or identifiable data to outside parties. This also means that the mechanism shouldn’t undermine privacy.

Unifier: Verification Mechanism

From a business perspective data integrity, a part of cybersecurity is integral to data an be trusted. This needs secure verification to detect malicious actions from in- or outside the organization.

Add to that, that other organizations have reason to believe in the integrity of their assets making them a more desirable business partner. When assets with embedded verification mechanisms are transferred the recipients are in control of uncertainty and its risk. Having proof eliminates uncertainty about integrity by establishing individual trust best established through mathematical truth.

Data needs to be verifiably authentic.  How can verification be embedded into digital assets themselves?

Read the entire whitepaper “Trusted Data Exchange 2 – Asset Data Sealing” here.