Avalanche Founder Warned of AI Security Risks

Emin Gün Sirer cautioned that AI could identify previously undetected software vulnerabilities in blockchain networks.

Updated on Oct. 9, 2026 in Artificial Intelligence

Isometric editorial illustration showing a crystalline lattice with a central fracture, representing systemic digital network risks.
Avalanche founder Emin Gün Sirer warned that AI models can now exploit software vulnerabilities within blockchain networks like the XRP Ledger. AI Illustration. Upload story photo >

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Avalanche founder Emin Gün Sirer warned that advanced artificial intelligence models are capable of detecting hidden software bugs within blockchain platforms like the XRP Ledger. His comments followed an emergency software update released by XRP Ledger developers.

Why it matters

The crypto industry has historically prioritized cryptographic security while underestimating the risks posed by AI-detected system-level bugs. This shift suggests that automated tools could allow attackers to exploit vulnerabilities faster than human developers can patch them.

The focus remains on 0-day software bugs, which are defects that remain undetected by traditional human auditing methods. These vulnerabilities exist within blockchain software, libraries, and crypto wallets.

The players

Emin Gün Sirer

He is the founder of Avalanche and a prominent expert in the blockchain and cryptocurrency industry.

XRP Ledger

This is a decentralized blockchain network that recently underwent an emergency software update.

The details

Advanced AI models can now scan complex codebases to identify bugs that remain unnoticed by human developers. Attackers may utilize these findings to exploit software via zero-day vulnerabilities before security patches are fully developed or deployed.

Timeline

  1. September 25, 2026: XRP Ledger developers deployed an emergency software update to address security concerns.

The Tech Race

This warning highlights a transition in cyber warfare where automated intelligence replaces manual code auditing as the primary threat vector. It marks a departure from traditional focus areas by prioritizing the speed of bug detection over the complexity of cryptographic algorithms.

Users of digital asset platforms may see more frequent emergency updates as networks scramble to patch AI-identified vulnerabilities. These patches help maintain the security of stored crypto assets but may periodically affect wallet functionality.

The takeaway

Blockchain developers must integrate AI-assisted auditing into their security protocols to preemptively neutralize automated threats. Investors should prioritize platforms that proactively update their infrastructure to defend against evolving software exploitation techniques.

Further reading

Learn more about the latest developments in Artificial Intelligence.

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Do you believe artificial intelligence currently poses an urgent security risk to major financial technology platforms?