AI Use in Crypto Crime Jumped 40% Over the Past Year, TRM Labs Reports
Hackers are using artificial intelligence to hunt down overlooked software bugs and breach IT service providers.
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Key takeaways
- AI adoption among crypto criminals surged 40% over the past year.
- Hackers use AI to locate overlooked flaws in code faster than before.
- Attackers are leveraging AI tools to compromise IT firms and breach crypto targets.
Crypto criminals are leaning hard on artificial intelligence, bumping up their deployment of AI tools by 40% over the last year.
Data from blockchain analytics firm TRM Labs shows attackers are using AI to track down overlooked software vulnerabilities before developers ever get a chance to patch them. Malicious actors also use these automated systems to breach IT firms, giving themselves backdoor access to higher-value crypto targets.
Why it matters
Code audits aren't the safety net they used to be. As attackers deploy machine learning to accelerate exploit searches, soft spots in smart contracts get spotted—and drained—far quicker. If you hold funds in DeFi or trade on-chain, take note. The window between a bug appearing and a protocol getting drained is shrinking fast.
Source: The Block
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Mia Chen
Mia digs into DeFi and on-chain data, translating protocol mechanics into plain English for everyday readers.
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