PostgreSQL is a foundational database for many organizations, and for good reason! But it’s crucial you keep it secure and don’t try and rely on the solutions of the past to keep it safe. 

While strong credentials are essential, they’re by no means the final piece of the puzzle. In fact, they’re only the first piece. This is because the reality of today’s data landscape is that what used to be seen as the benchmark of secure data practice is now the bare minimum.

So, what can you do once you realize you’re already doing all those things everyone has always told you to do, yet are still vulnerable?

1: Zero Trust for Enhanced Security

Adopting a zero trust model is essential for preventing unauthorized access to sensitive data. 

This approach requires strict verification and authorization for every user and device accessing the network. 

It is also vital that super users and super admins are in fact the people with the least access to the data – while still being able to do their jobs! This can be achieved through homomorphic encryption (see point 3) with them able to perform their duties on the data while it remains fully encrypted. 

2: Leveraging Web3 for Decentralized Control

Web3 technologies, such as blockchain, can provide a decentralized approach to data management and give users greater control over their confidential data to reduce the risk of data breaches. Data is decentralized, immutable and protected from ransomware attacks when combined with homomorphic encryption (see point 3) and your traditional security measures. 

3: Never Decrypting your Confidential Data

Fully homomorphic encryption ensures your confidential data remains encrypted at all times. This is because data does not have to be decrypted and therefore exposed in order for it to be searched or analyzed. 

While there have been historic concerns over the speed of FHE, OmniIndex’s patented technology has proven itself to work in near real-time. 

4: Native and Private AI

Utilizing a third-party AI system or allowing an external AI to access and use your data puts it at risk. Instead, use an AI that is native in your postgres database, never shares that data externally of the system, and performs all its analytics and computations on the data in a fully encrypted state. 

For a deeper dive into securing PostgreSQL in the Web3 era, check out my article in Cyber Security Magazine: The Three Pillars of the Next Generation in Data Security: PostgreSQL, Zero-Trust, and Web3

Or get in touch to ask about PostgresBC – the OmniIndex data platform that puts all these things (and more) into action.