🤖 AI × Crypto⚪ NeutralImportance 7/10

Execution Is the New Attack Surface: Survivability-Aware Agentic Crypto Trading with OpenClaw-Style Local Executors

arXiv – CS AI|Ailiya Borjigin, Igor Stadnyk, Ben Bilski, Serhii Hovorov, Sofiia Pidturkina|March 12, 2026 at 04:00 AM

🤖AI Summary

Researchers propose Survivability-Aware Execution (SAE), a new security framework for AI-powered crypto trading systems that prevents execution-induced losses from compromised AI agents or malicious prompts. The system implements middleware protection between AI strategy engines and exchange executors, reducing maximum drawdown by 93.1% and attack success rates by 27.2% in testing.

Key Takeaways

→AI crypto trading systems face new risks where compromised agents can execute real trades causing irreversible financial losses.
→SAE framework implements protective middleware with exposure budgets, rate limits, and slippage bounds to prevent catastrophic execution failures.
→Testing on Binance perpetual futures data showed 93.1% reduction in maximum drawdown and 97.5% improvement in risk metrics.
→The system addresses supply chain risks from third-party AI skills and tools that could be compromised or malicious.
→Framework introduces the 'Delegation Gap' metric to measure and test the reliability of AI-powered trading execution.

#ai-trading #crypto-security #risk-management #openclaw #execution-safety #agentic-trading #survivability #binance #perpetual-futures

Read Original →via arXiv – CS AI

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