Do you remember the chilling news from some time ago? Google's AI programming tool Antigravity was found to have a major vulnerability less than a day after its launch: it had backdoors, could be revived, and could execute malicious code remotely, even if you uninstalled and reinstalled it. Even more exaggerated, hackers could even use this entry point to implant ransomware.

The researcher said something very poignant: this risk is not an accident, but a structural problem.

Because as long as it is an AI agent that can represent users in executing operations continuously, it must have high permissions, and high permissions + black box execution provide hackers with a VIP channel.

This matter made me realize a reality:

Now everyone is talking about efficiency, automation, and intelligent execution, but the truly most difficult and also most overlooked aspect is control and security.

Especially with the arrival of Web3, this issue has become more acute.

Because it is not executing a web button, but rather involves real money, assets, transactions, and cross-chain operations.

If future intelligent agents help us run strategies and sign transactions, but the process is completely invisible, then this world will eventually crash.

Many projects are actually doing similar things now:

"Add a layer of AI shell" to the original wallet, DApp, and protocol, making it look smarter, but the underlying logic remains unchanged—private keys are still a single point of risk, and execution rights are still a black box.

And @wardenprotocol has chosen another path.

Their approach is more like fundamentally redesigning the system "for agents to operate, rather than for humans to operate."

In other words, we are not just fitting AI into the old Web3 system, but rather adapting the entire system from the design level to accommodate the agency.

They have redefined principles, such as:

The execution permissions are managed hierarchically by the agent, rather than being a string of mnemonic phrases that could be lost at any time.

The agent can execute intentions across chains, not just click UI buttons for you.

All actions can be inspected, recorded, and traced, rather than allowing the AI to operate randomly in the background.

The security, authorization, and delegation mechanisms are not external tools, but capabilities embedded in the protocol itself.

The core of this logic is:

AI can automate execution, but users always know what it did, why it did it, and whether it can be stopped.

When AI agents start managing liquidity, running DeFi strategies, signing contracts, and cross-chain scheduling, speed is not the most important factor; reliability is.
Only when every step can be verified and audited can this be scaled securely.

Looking at this moment in time, we may be experiencing a shift in the underlying paradigm:

A wallet is no longer just a place to store assets.

It will gradually evolve into a central hub of an intelligent agent with executive power and behavioral logic.

If a "proxy economy" really does emerge in the future, it will not be built on that kind of black-box automation, but rather on a structure that is "verifiable, governable, and delegable."

To put it bluntly, we are not waiting for smarter AI; we are waiting for a more trustworthy execution layer.

And this direction has become increasingly clear.

@KaitoAI #Yapping #MadewithMoss @MossAI_Official #Starboard @Galxe @RiverdotInc @River4fun