Large language models are evolving rapidly; AI has gradually transformed from the 'artificial intelligence' in science fiction to the 'intelligent assistant' used daily: writing articles, coding, creating images, providing emotional value, and even helping you predict outcomes.
But have you ever thought:
Are you really willing to hand over this most private information to AI?
What did you eat today, your birth date, your preferences, your bank account balance... AI can analyze all this clearly, but:
Where did the data go?
Who can see it?
Have you felt the fear of being controlled by big data?
This is one of the key propositions in AI development: capability explosion is one thing, 'security and trust' is the core that truly determines the speed of AI implementation.
And @Mind Network has already focused on the pain points of the issues, providing a more reliable solution from the ground up.
What is FHE?
FHE, short for Fully Homomorphic Encryption.
👀 You recognize every word, but the combination feels strange; yet it is very practical.
FHE allows AI to 'perform computations directly in an encrypted state,' the entire process without worrying about AI seeing your original data.
You can understand FHE like this:
👨⚕️ Just like a doctor can help you complete a full physical and analysis, but he cannot see your body photos or the text on your report at any moment.
🧮 Or you could say you threw a bunch of password books in, and AI can still perform addition, subtraction, multiplication, and division on them, returning the results sealed back to you.
What FHE solves is the opposing problem of 'using AI to work' and 'protecting privacy.'
AI without FHE is like 'running naked.'
In reality, without FHE, AI can only run by decrypting first and then processing.
You can imagine:
📍 You upload your health data for AI to help you with health analysis.
📍 You submit your salary flow for AI to help you with a loan application.
📍 You authorize your transaction history for AI to help you with arbitrage.
These data, once decrypted and leaked, the risk is:
❌ Once leaked, it becomes uncontrollable.
❌ Once hacked, it could be trained, sold, analyzed, or misused.
❌ Worse, you may not even know at which step the 'leak' occurred.
FHE is like putting 'invisible armor' on these operations; even if data runs all over the world, no one can peel it off.
Where can FHE + AI be applied?
You might think this sounds a bit mystical, but are there real application scenarios?
🏥 Medical Field: AI Doctor + Data not running naked.
AI gives you treatment suggestions, using encrypted data in the background.
The CT scans, physical exams, and prescriptions you upload, the system has no chance to peek at.
💸 DeFi Field: Smart Strategy + Verifiable Transparency.
You can let AI help you run arbitrage strategies and set stop-loss orders.
During the strategy execution, others cannot see your financial status, but you can verify each step.
🎮 Game Social: Intelligent NPC + Private Chat.
Human-computer interaction in the virtual world is no longer 'fake.'
What you said and did, AI can understand, but no one can use it for advertising or social engineering attacks.
📈 Enterprise Data: AI Analysis + Business Confidentiality Protection.
Company data can still allow AI to make trend forecasts and risk control models.
Throughout the process, customer privacy and core algorithms are always under the 'encryption shield'; competitors can't steal knowledge.
Deep Reflection: FHE is the 'security protocol' for future AI.
You might not often hear the term 'fully homomorphic encryption,' just like we don't usually discuss the HTTPS protocol.
But it is precisely these invisible yet essential foundational technologies that guard every step you take in the digital world.
If AI is the engine of future society, then FHE is the 'secure fuel pipeline' + 'explosion isolation shield' + 'intelligent black box' for this engine.
Mind Network is building the 'security layer' of this engine.
Mind Network is not just creating a temporary hotspot but is laying the groundwork. They are establishing the trusted root of data for the intelligent world of the future.
Imagine a future like this:
You can call upon any AI assistant to handle your affairs at any time.
You don't have to worry about privacy breaches, and you can verify their behavior.
Collaboration among all AIs is transparent and secure, yet each agent is 'isolated' and 'trustworthy' from each other.
What is needed behind this is not an App, not a function, but a set of truly 'new protocols' belonging to the AI era.
If AI is the brain of future society, then FHE is its 'password lock,' 'firewall,' and 'security core.'
@Mind Network is helping us build this core, silently guarding that invisible bottom line, requiring both intelligence and trustworthiness.
About Mind Network.
Mind Network has pioneered a fully homomorphic encryption ($FHE) infrastructure resistant to quantum attacks, driving a completely encrypted internet through secure data and AI computations.
By collaborating with industry leaders like Zama, Mind Network is constructing a fully encrypted infrastructure.
Mind Network has received support from well-known investors including Binance Labs (Yzi Labs), Cogitent, Hashkey, Animoca Brands, and Chainlink.
