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Researcher and entrepreneur in cryptography, and the CTO at Zama.
Additionally, beyond concerns about trust, we must acknowledge the ever-present threat of security breaches within cloud environments.
Even if you place trust in your cloud provider, security breaches can still occur.
Cloud infrastructure, by its nature, introduces potential vulnerabilities.
These vulnerabilities can go unnoticed, and even spyware could be operating surreptitiously, exposing your data.
So how can organizations ensure the security andprivacyof their data when using cloud services?
This is where privacy-preserving technologies come into play.
A prime example of this is credit scoring.
To address this, they can employ encryption to protect the individual information they possess.
By encrypting the data, they can collectively make predictions regarding credit scoring without exposing personal data.
Only those entities with the appropriate decryption keys can access and decipher these predictions.
This approach allows them to make informed decisions about extending credit to individuals, all while safeguarding sensitive data.
Firstly, it has a reputation for being particularly complex.
Because of this, many clients may have preferred and still do prefer not to undertake FHE implementation themselves.
This is understandable, given the complexity and expertise required.
It’s only when they intend to commercialize the technology that they will need to consider licensing changes.
We are currently limited to scenarios where speed is not a critical constraint.
Work is under way within the industry to address this, however.
Tech companies, including giants such asIntel, are developing hardware accelerators.
Once these hardware accelerators become available, we anticipate that FHE implementations will see a considerable increase in speed.
Presently, we are mainly reliant on central processing units (CPUs) for computations.
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