Case StudyLive

AttoGuard

Real-time prompt injection defense for AI-controlled cryptocurrency wallets.

409K+
Threat patterns
<100ms
Scan latency
12
Languages
7
EVM networks

The Problem

AI-controlled cryptocurrency wallets are a growing category in DeFi. These wallets use large language models to interpret user intent and execute transactions autonomously. However, this creates a critical attack surface: prompt injection. Malicious actors can embed hidden instructions inside seemingly normal transaction requests, tricking the AI into sending funds to attacker-controlled addresses, approving malicious smart contracts, or leaking private keys.

Existing security solutions focused on smart contract auditing and transaction simulation, but none addressed the AI layer itself. There was no defense mechanism specifically designed to intercept and analyze the natural language inputs being sent to AI wallet agents before they reached the wallet logic.

The Solution

AttoGuard uses a proprietary, adaptive detection engine that scans wallet transactions for prompt injection attacks across 7 EVM networks in under 100ms. The system sits between the user input and the AI wallet agent, intercepting every transaction request before it reaches the wallet logic.

The system continuously learns from every blocked attack, protecting all users on the network. Supports 12 languages, detects encoding tricks and disguise attempts, and runs transaction simulations before execution.

Supported Networks

AttoGuard supports 7 EVM-compatible networks: Ethereum, Polygon, Arbitrum, Optimism, Base, Avalanche, and BNB Chain. Transaction simulation runs on the actual target network, so detection is accurate to current on-chain conditions.

Continuous Protection

AttoGuard's detection engine evolves continuously. Every blocked attack strengthens the system's defenses across the entire network of protected wallets. The system is tested rigorously on an ongoing basis to ensure coverage against evolving attack techniques.

Results

AttoGuard currently detects 409,000+ distinct threat patterns across 12 languages with sub-100ms latency. The system supports real-time transaction simulation on 7 EVM networks and includes community-powered threat intelligence sharing across all connected wallets.

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