When you provision a crypto wallet for a human, you implicitly trust their judgment. When you provision a wallet for an AI Agent, you're handing a loaded gun to a probabilistic model.
The core issue isn't the AI; it's the Binary Permissions architecture of modern crypto wallets.
The Dilemma: All Access or No Access
In the current Web3 stack (MetaMask, Gnosis Safe, standard EOAs), permissions are binary:
| Mode | What Agent Can Do | Risk Level |
|---|---|---|
| ALL_ACCESS | Sign any transaction, any amount, any recipient | Catastrophic |
| READ_ONLY | View balances, no execution | Zero utility |
There's nothing in between.
ALL_ACCESS (Signer): If you give an agent the private key (or a signing share), it has mathematical authority to sign any transaction. It can drain the entire balance, interact with malicious contracts, or pay the wrong address.
READ_ONLY (Observer): If you don't give it a key, it's just a chatbot. It can't execute. It requires a human in the loop to sign every transaction.
This leaves developers in a bind. To build Autonomous Agents—agents that actually do things—you must choose between reckless danger (All Access) or manual bottlenecks (Read Only).
Traditional Access Control Doesn't Apply
In traditional software, we have sophisticated permission systems:
- Unix file permissions: Read, Write, Execute per user/group
- Database roles: SELECT, INSERT, UPDATE, DELETE per table
- Cloud IAM: Hundreds of granular permissions per service
- OAuth scopes: Fine-grained API access per application
But crypto wallets? Just the private key. If you have it, you can do anything.
This worked when humans were the only actors. Humans have judgment, context, and self-preservation instincts. An employee with database access doesn't randomly DELETE all rows. They understand consequences.
AI agents don't have these safeguards. They execute whatever their logic dictates.
The "One Bug" Rule
In software engineering, a bug might crash the app. In Agentic Finance, a bug drains the treasury.
An autonomous agent operating with ALL_ACCESS is one infinite loop, one prompt injection, or one logic hallucination away from emptying the connected wallet.
The "One Bug" Rule: It only takes ONE failure in the LLM's logic to generate a valid, signed transaction that sends your funds to zero.
Consider the failure modes:
| Failure Mode | Human Response | Agent Response |
|---|---|---|
| Infinite loop | "Something's wrong, stop" | Keeps executing until wallet empty |
| Wrong amount | "That looks too high, let me check" | Sends whatever the code says |
| Suspicious recipient | "I don't recognise this address" | Addresses are just strings |
| Unusual time | "Why am I doing this at 3am?" | No concept of "unusual" |
Humans have circuit breakers. Agents don't—unless you build them.
The Permission Spectrum We Need
Between "everything" and "nothing" lies a spectrum of useful permissions:
NO ACCESS ─────────────────────────────────────────── FULL ACCESS
│ │
│ ┌──────────────────────────────────────────┐ │
│ │ THE MISSING MIDDLE │ │
│ │ │ │
│ │ • Max $100/transaction │ │
│ │ • Max $1000/day │ │
│ │ • Only whitelisted recipients │ │
│ │ • Only specific assets │ │
│ │ • Max 10 transactions/hour │ │
│ │ • Only during business hours │ │
│ │ • Geographic restrictions │ │
│ │ • Multi-sig for large amounts │ │
│ └──────────────────────────────────────────┘ │
│ │
READ-ONLY SIGNER
This is what enterprises have for every other system. Why not crypto wallets?
The Solution: Programmable Policy Layers
The missing component in the stack is a Policy Layer.
A Policy Layer sits between the Agent (the Intent) and the Blockchain (the Execution). It doesn't care why the agent wants to execute a transaction; it only cares if the transaction adheres to the deterministic rules you've set.
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ AI Agent │────▶│ Policy │────▶│ Blockchain │
│ (Intent) │ │ Layer │ │ (Execution) │
│ │ │ Allow/Deny │ │ │
└─────────────┘ └─────────────┘ └─────────────┘
The agent has "signing capability" but constrained by policy. It's no longer binary—it's graduated access.
How PolicyLayer Solves Binary Permissions
PolicyLayer introduces the grey area between "All Access" and "No Access":
Granular Allowances
// Agent X can spend max $50 USDC per day
const policy = {
dailyLimit: parseUnits('50', 6),
asset: 'usdc'
};
Recipient Whitelisting
// Agent X can only send to approved addresses
const policy = {
allowedRecipients: [
'0xUniswapRouter...',
'0xCompanyVault...',
'0xPayrollContract...'
]
};
Velocity Limits
// Agent X can execute max 5 transactions per hour
const policy = {
maxTransactionsPerHour: 5
};
Asset Restrictions
// Agent X can only touch USDC, not ETH reserves
const policy = {
allowedAssets: ['usdc'],
// ETH is mathematically inaccessible
};
Use Cases Requiring Granular Permissions
Customer Support Agent: Can issue refunds up to $50, but not $5,000. Can only send to the original payment address, not arbitrary accounts.
Trading Bot: Can execute trades up to 1 ETH per transaction, 10 ETH per day. Can only interact with verified DEX contracts.
Payroll Agent: Can send USDC to whitelisted employee addresses. Cannot touch the ETH treasury. Daily limit matches payroll budget.
Treasury Agent: Can rebalance between approved protocols. Cannot withdraw to external addresses. Large moves require additional approval.
Each of these requires graduated access that traditional wallets cannot provide.
The Architecture Shift
Moving from binary to graduated permissions requires a fundamental architecture change:
| Aspect | Binary Model | Policy Layer Model |
|---|---|---|
| Access | All or nothing | Graduated by rule |
| Enforcement | None (trust the holder) | Deterministic |
| Audit | Transaction logs only | Intent + decision + execution |
| Revocation | Rotate keys (destructive) | Disable policy (instant) |
| Granularity | Per-wallet | Per-agent, per-asset, per-recipient |
The Path Forward
By moving permission checks out of the agent's prompt (which is probabilistic) and into the infrastructure (which is deterministic), you solve the Binary Permissions problem.
You can finally ship autonomous agents that are safe by design. Not safe because you "told them to be careful," but safe because they mathematically cannot exceed their boundaries.
This is the foundation of Agentic Finance—giving AI agents the ability to act while constraining how much damage they can do.
Related reading:
Ready to secure your AI agents?
- Quick Start Guide - Get running in 5 minutes
- GitHub - Open source SDK
Top comments (0)