AI Can Now Find 70% of Crypto Exploits | Alpin Yukseloglu, EVMBench Creator

David Hoffman
David HoffmanMar 5, 2026

Why It Matters

AI’s accelerating ability to uncover smart‑contract exploits forces the crypto ecosystem to adopt defensive, AI‑augmented security now, or face potentially catastrophic breaches as superhuman auditors emerge.

Key Takeaways

  • AI models now detect over 70% of smart contract bugs.
  • EVM Bench benchmark tracks AI progress in crypto security testing.
  • Current AI still trails top human auditors but improving rapidly.
  • Superintelligent AI could disrupt crypto security, demanding proactive defenses.
  • Industry must collaborate on experimental AI frontiers to maintain resilience.

Summary

The Bank of Nation interview with Alpin Yukseloglu, a Paradigm research partner and co‑author of the EVM Bench benchmark, explores how artificial‑intelligence agents are reshaping smart‑contract security. Yukseloglu explains that EVM Bench, an open dataset of fund‑draining bugs, has become a yardstick for measuring AI’s ability to locate, patch, or exploit vulnerabilities in Ethereum‑compatible contracts.

Since the benchmark’s inception six months ago, AI detection rates have surged from under 20 percent to more than 70 percent, outpacing earlier expectations. While current models still lag behind the very best human auditors, the trajectory suggests a superhuman AI auditor could emerge by year‑end, potentially overturning existing security assumptions. Yukseloglu emphasizes that the industry already operates under a threat model of highly skilled adversaries, but the rapid improvement of AI tools accelerates the arms race.

Key moments include Yukseloglu’s analogy that security cameras raise a grocery store’s capacity, and his warning that “by the end of the year, a superhuman AI auditor will completely break all of our assumptions.” He also discusses the psychological challenge of confronting a possible singularity, urging practitioners to focus on agency, incremental progress, and hands‑on experimentation rather than speculative doom.

The takeaway for crypto stakeholders is clear: proactive defense, collaborative research, and integration of AI‑driven auditing pipelines are essential to safeguard the near‑hundred‑billion‑dollar asset pool. Embracing AI as a defensive partner can expand the industry’s “carrying capacity,” while ignoring it risks a sudden security shock as AI capabilities cross the superintelligence threshold.

Original Description

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AI is getting dangerously good at smart contract security. Faster than crypto is ready for. Alpin Yukseloglu joins Bankless to break down EVMBench (built with OpenAI), a benchmark testing whether AI agents can detect, patch, and exploit real fund-draining bugs and why the jump from ~12–13% exploit-finding to 70%+ could rewrite today’s security assumptions. We unpack what that “70%” really means, why crypto’s verifiability is an ideal training ground, why AI labs haven’t prioritized crypto data yet, and what a 24/7 blackhat vs whitehat AI arms race means for DeFi.

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TIMESTAMPS
0:00 AI’s exploit leap: 12% → 70% and the “Superhuman auditors”
7:02: Staring at the singularity without losing your mind
10:31 Agency » doom: the Thiel framing
19:10 What’s most at risk (and what’s safer)
23:37 What EVMBench actually is (benchmark + harness)
27:03 Why exploiting is the key: killing false positives
29:24 AI gets “good at crypto” fast: verifiability
30:56 What “70% exploit rate” really means
33:32 Why AI labs avoided crypto (it’s not technical)
43:38 Blackhat vs whitehat: how the race plays out
47:21 Agents and “payments at the speed of light”
51:02 EVM vs Solana: network effects
56:18 AI formal verification as an endgame
58:06 EVMBench V2: expanding the frontier
59:54 Why Alpin stays in crypto

RESOURCES
Alpin Yukseloglu
EVMBench

Not financial or tax advice. See our investment disclosures here:

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