Shit, AI security is getting serious. This is where $TAO becomes interesting.
The Economist reported that Anthropic’s Mythos model broke into almost all NSA classified systems in hours.
Even if this was a planned red team exercise, a controlled test, not a foreign attack its still serious.
Offense just moved to machine speed. So defense has to move there too.
Bittensor already has subnets building around this exact problem.
@yanez__ai SN54 for fraud, AML, and compliance defense.
@bitmind SN34 Deepfake detection
@trishoolai SN 21 adversarial marketplace
@TargonCompute SN4 for confidential compute.
@bitsecai SN60 for AI security and code audits.
@_redteam_ SN61 for adversarial testing.
@chutes_ai SN64 adding TEE execution for private inference.
Look at the strength there, plus many more subnets.
Secure compute.
AI vulnerability hunting.
Red teaming.
Compliance defense.
Private inference.
All competing on AI security.
A centralized lab can't compete with this.
Bittensor is a market of defensive systems fighting to get better.
I am not saying every subnet has won yet.
They still have to prove usage, revenue, and durability.
But the direction is there and hard to ignore.
If offensive AI is moving this fast, defensive AI infrastructure becomes survival infrastructure.
And $TAO is one of the only places building it as an open market.
$TAO
DYOR.
Sources:
https://t.co/wbBUNcPDBv
https://t.co/VNX7tQME0x
