Fully Homomorphic Encryption is hard enough to say, let alone explain – for good reason it’s more commonly referred to by its abbreviation. Talking about FHE without ever uttering its nine-syllable title is much simpler, but delving into how exactly it works calls for a little more focus.
Even if your knowledge of cryptography is rudimentary at best and you’ve never conducted a complex computation in your life, you should be able to appreciate this much: the ability to analyze encrypted data without ever needing to decrypt it is kind of a big deal. In fact, if you were the inventor of such a tech, you’d probably call it “a game-changer” and your excitement would be justified.
FHE is a big deal for data analysis, for web3, for banking, high-frequency trading, AI and a whole bunch of other digital industries. We’ll examine why this is the case shortly. But first, a quick primer on how FHE works and what distinguishes it from other encryption methods.
What’s the Deal With
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