One Word Puts Your Prompt Inside A Sealed Enclave ๐
$ZEC made privacy a category people buy. $NEAR is turning it into a property you switch on, and Bankr's gateway just exposed the switch.
The Bankr LLM Gateway now supports private inference powered by NEAR AI. Append :private to a model name and the prompt runs inside a TEE, attested on every request. If the attestation fails, it does not run at all.
Same price as the standard model.
That pricing detail matters more than the feature does.
Privacy normally carries a tax, and when the private option costs extra almost nobody selects it, so the open default survives. Price parity turns the decision into a question of need rather than budget, which is the only way a privacy feature ever reaches default status.
Be precise about what it covers. The execution environment is sealed and verified per request. It is not a claim about what you choose to type, who you forward results to, or what happens anywhere outside that boundary.
Where it earns its place is agents running unattended.
A person decides case by case what is safe to paste into a model. An agent handling balances, strategy or someone else's data makes no such judgment, so the runtime has to make it instead.
The shift worth noting is privacy moving from a token sector into a flag on a request. Most people will never think about it, which is exactly what working infrastructure feels like.
#AI #Privacy
$ZEC made privacy a category people buy. $NEAR is turning it into a property you switch on, and Bankr's gateway just exposed the switch.
The Bankr LLM Gateway now supports private inference powered by NEAR AI. Append :private to a model name and the prompt runs inside a TEE, attested on every request. If the attestation fails, it does not run at all.
Same price as the standard model.
That pricing detail matters more than the feature does.
Privacy normally carries a tax, and when the private option costs extra almost nobody selects it, so the open default survives. Price parity turns the decision into a question of need rather than budget, which is the only way a privacy feature ever reaches default status.
Be precise about what it covers. The execution environment is sealed and verified per request. It is not a claim about what you choose to type, who you forward results to, or what happens anywhere outside that boundary.
Where it earns its place is agents running unattended.
A person decides case by case what is safe to paste into a model. An agent handling balances, strategy or someone else's data makes no such judgment, so the runtime has to make it instead.
The shift worth noting is privacy moving from a token sector into a flag on a request. Most people will never think about it, which is exactly what working infrastructure feels like.
#AI #Privacy
