Wearing a seatbelt on-chain: Agent Security in the AI Wallet Era

Published on
June 10, 2025

Wearing a seatbelt on-chain: Agent Security in the AI Wallet Era

Published on
June 10, 2025

Executive Summary

We tested OB-1, our autonomous security agent, on real Bybit exploit transactions. It detected them immediately. In a batch of Ethereum transactions, OB-1 identified the exploit pattern: a 3-day-old wallet attempting to move an outsized amount to an unverified contract with 6x normal gas fees. The agent flagged these transactions as high-risk.

OB-1's real-time detection logic, as applied to a Bybit-style exploit. The agent highlights wallet age, contract status, transfer size, and gas usage to surface true threats in real time.

Live demo: View OB-1 Real-Time Risk Scoring 

Using a wallet without AI security is like driving without a seatbelt. You're exposed to risks that automated systems can catch. As AI achieves superhuman performance at complex pattern recognition tasks, the gap between protected and unprotected users grows.

Why Traditional Wallets Are Failing Users

2024 crypto security incident breakdown showing systematic human failure patterns

The current system asks users to verify every contract address, understand complex transaction details, and never make mistakes. One wrong click means permanent loss.

Here's a real example:

A real-world example: a user lost their life savings due to a UX bug and address confusion in a bridge transaction, highlighting the urgent need for AI-native, agent-driven security and verification.

This person used a popular bridge and followed the instructions. A UX bug combined with cross-chain complexity led to total loss. No warnings, no recovery.

The Same Revolution That Happened in Driving Is Coming to Crypto

Waymo's autonomous vehicles show 51-90% reduction in police and injury-reported incidents compared to human drivers

Look at what happened when AI took over driving. Waymo's data shows autonomous vehicles reduce accidents by 51-90% compared to human drivers. Not through incremental improvements, but by fundamentally changing how the task is performed.

The same transformation is possible with crypto wallets. Just as autonomous vehicles never get tired, never get distracted, and process thousands of inputs simultaneously, AI wallet security never misses a red flag, never clicks a malicious link when tired, and analyzes every transaction across multiple risk dimensions instantly.

In Phoenix, Waymo achieved an 80% reduction in police-reported crashes. In San Francisco, a 90% reduction in injury-causing incidents. These aren't theoretical numbers—they're real-world results from replacing human decision-making with AI in safety-critical situations.

This is exactly what we're seeing with OB-1 and crypto security. The Bybit exploit detection isn't lucky—it's what happens when you apply the same principles that make autonomous driving safer to financial transactions.

The Future of Wallet UX

Performance comparison showing compound advantages of AI-optimized portfolio management

This isn't about adding features to existing wallets. It's about fundamentally changing how people interact with crypto. When every transaction is analyzed for risk patterns in real-time, when warnings are delivered in plain English, when complex operations are automated safely—that's when crypto becomes usable for everyone.

OpenBlock Labs is building this today. The Bybit detection shows what happens when you apply modern AI to crypto security. As these models improve, the protection strengthens.

Try the live demo at obl.dev

Executive Summary

We tested OB-1, our autonomous security agent, on real Bybit exploit transactions. It detected them immediately. In a batch of Ethereum transactions, OB-1 identified the exploit pattern: a 3-day-old wallet attempting to move an outsized amount to an unverified contract with 6x normal gas fees. The agent flagged these transactions as high-risk.

OB-1's real-time detection logic, as applied to a Bybit-style exploit. The agent highlights wallet age, contract status, transfer size, and gas usage to surface true threats in real time.

Live demo: View OB-1 Real-Time Risk Scoring 

Using a wallet without AI security is like driving without a seatbelt. You're exposed to risks that automated systems can catch. As AI achieves superhuman performance at complex pattern recognition tasks, the gap between protected and unprotected users grows.

Why Traditional Wallets Are Failing Users

2024 crypto security incident breakdown showing systematic human failure patterns

The current system asks users to verify every contract address, understand complex transaction details, and never make mistakes. One wrong click means permanent loss.

Here's a real example:

A real-world example: a user lost their life savings due to a UX bug and address confusion in a bridge transaction, highlighting the urgent need for AI-native, agent-driven security and verification.

This person used a popular bridge and followed the instructions. A UX bug combined with cross-chain complexity led to total loss. No warnings, no recovery.

The Same Revolution That Happened in Driving Is Coming to Crypto

Waymo's autonomous vehicles show 51-90% reduction in police and injury-reported incidents compared to human drivers

Look at what happened when AI took over driving. Waymo's data shows autonomous vehicles reduce accidents by 51-90% compared to human drivers. Not through incremental improvements, but by fundamentally changing how the task is performed.

The same transformation is possible with crypto wallets. Just as autonomous vehicles never get tired, never get distracted, and process thousands of inputs simultaneously, AI wallet security never misses a red flag, never clicks a malicious link when tired, and analyzes every transaction across multiple risk dimensions instantly.

In Phoenix, Waymo achieved an 80% reduction in police-reported crashes. In San Francisco, a 90% reduction in injury-causing incidents. These aren't theoretical numbers—they're real-world results from replacing human decision-making with AI in safety-critical situations.

This is exactly what we're seeing with OB-1 and crypto security. The Bybit exploit detection isn't lucky—it's what happens when you apply the same principles that make autonomous driving safer to financial transactions.

The Future of Wallet UX

Performance comparison showing compound advantages of AI-optimized portfolio management

This isn't about adding features to existing wallets. It's about fundamentally changing how people interact with crypto. When every transaction is analyzed for risk patterns in real-time, when warnings are delivered in plain English, when complex operations are automated safely—that's when crypto becomes usable for everyone.

OpenBlock Labs is building this today. The Bybit detection shows what happens when you apply modern AI to crypto security. As these models improve, the protection strengthens.

Try the live demo at obl.dev