Will neural technologies affect cybersecurity in the future?

Home Editorial Will neural technologies affect cybersecurity in the future?

Brain-Computer interfaces have amazing potential. In the next few years, many fields will be disrupted by the introduction of this technology, and this statement can be proved by looking at the data inherent to the market size: it will reach more than 1.8 billion $ by 2023 with a CAGR of 17% (Compound Annual Growth Rate).

The question is: will this revolution also affect cybersecurity?

The answer is yes! At Vibre we believe that the state of the art of IAM (Identity and Access Management), the front door of every security system, is not good enough for our needs and this is why we created MindPrint, the first BCI application in the sector of biometrics.

For more information about MindPrint read also MindPrint: the Future of Biometric Authentication

We are witnessing a huge number of violations, system failures and data thefts involving even the most advanced technologies like fingerprint reading or face recognition.

In the past few days two researchers, working with cyber-security firm VPNMentor, found a serious leak in Biostar 2, a biometric system extremely diffused and used by many bank institutions worldwide, by the British police and many private companies working in the security sector.

The leak exposed to public access more than one million fingerprints, information about face recognition, personal data and not encrypted passwords. There is no confirmation about data thefts, but the possibility that someone got those fingerprints irreparably compromised them because they are immutable access keys that don’t change during the lifetime.

MindPrint completely changes the concept of the biometric marker by exploiting the most complex and distinguishing signal that we generate: the signal produced by our brain.

The incredible capabilities of the human brain allowed us to find a “mind print”, a biometric marker conceptually similar to a fingerprint, but deeply different: it is a unique feature that distinguishes every person, but unlike classic markers, it slightly changes during the lifetime, thanks to a property called Neuronal Plasticity.

Neuronal Plasticity is the ability that allows us to learn by microscopically changing the connections between our neurons, the cells that compose the brain. These little changes can be detected from the signal and can be used to automatically update the key when the user authenticates.

So this is the first case of authentication technology that merges the advantages of a biometric marker, which is unique for everyone, and of a password, that can be changed when required.

In the case of data theft, the system would be safe for many reasons:
– first of all the data alone are useless without the AI algorithms that extract the key from them;
– second, the AI can be induced to “unlearn” the stolen data and relearn to read the data in a new way, completely updating the hidden key;
– third, no one but AI knows the key: the system is based on a sort of encrypted communication between the brain and artificial intelligence that no one can understand.

The landing of BCIs in biometrics represents a revolution of the state of the art: Vibre is the first player in the sector that took a step towards this direction, aiming to give birth to a new generation of technologies that will for sure improve everyone’s life in the next future.


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Stefano Stravato
I have always been passionate about technology, especially when it deals with people's health and well-being. This is why I got a Master Degree in Biomedical Engineering and I Co-Founded Vibre, a startup that is disrupting the field of Brain-Computer Interfaces, aiming to create a Mind-Driven World. I firmly believe that Neural Interfaces can improve people's lives, especially those of people with particular needs, for this reason, I spend everyday all my energies to transform our vision into reality.


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