2026-01-18 13:32:55

Developers have a core requirement for on-chain computation: how to solve the trust issue? The answer lies in the Trusted Execution Environment (TEE) solution.

In simple terms, TEE runs code in an encrypted isolated sandbox. Your input data is protected by encryption, you can see the code logic before execution, and after completion, you can obtain the signed result. Most importantly—raw data will never be leaked outside.

This way, on-chain computation can ensure privacy while making results verifiable. Whether it's off-chain processing or cross-chain interactions, this trust mechanism can be used to ensure data security. $RLC is using this approach to reshape the ecosystem of on-chain privacy computing.

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AltcoinHunter

· Just Now

I've studied this TEE logic, and it indeed solves a longstanding difficult problem... But to be honest, whether RLC can truly be implemented depends on execution capability. Don't let it become just a PPT project again.

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PrivateKeyParanoia

· 7h ago

TEE is basically like putting a golden shield around data. It feels reliable, and finally someone is taking privacy issues seriously.

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TommyTeacher

· 7h ago

TEE sounds good in theory, but can it really be trusted? It still seems to depend on actual application.

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CrashHotline

· 7h ago

TEE this thing sounds pretty reliable, but can it really provide complete isolation? It still depends on the specific implementation. It's basically outsourcing trust to hardware. Not sure if it will become the next attack point. How far $RLC can go on this path is really hard to say; we've been talking about privacy computing for so many years. Isolation sandbox sounds good, but what really makes me skeptical is how well this thing performs. It always feels like encryption and privacy are caught in a constant tug-of-war between pursuit and compromise.

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DegenGambler

· 7h ago

Basically, it's about making the black box transparent, while still encrypting and locking the data. That's the general idea.

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GasDevourer

· 7h ago

Hey TEE, this setup really has some substance. Meeting both privacy and verifiability requirements simultaneously is truly not easy. Wait, are you sure the data will never be leaked? Can you trust the hardware layer? $RLC has been in this space quite early. How is the ecosystem implementation going?

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GateUser-75ee51e7

· 8h ago

This TEE plan sounds good, but how many projects can truly be implemented? Is it just another concept hype?

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GasFeeTherapist

· 8h ago

TEE really addresses a major pain point, but there are still too few projects that can truly be implemented and used. Honestly, just shouting slogans about data privacy is useless; it needs to be genuinely verifiable. If $RLC can really do a good job with this, then it's worth paying attention to.

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