Traditionally: Bug exists (unknown) → Found by researcher (months/years) → Patch released → Attackers exploit (years later). Now? AI finds it in hours, attackers exploit in days.
Frontier AI models can analyze millions of lines of code, identify patterns that indicate flaws, and generate working exploit code. What took a human researcher months is now achievable by an AI model in parallel.
A zero-day vulnerability is a flaw unknown to vendors. If AI reduces the time between discovery and exploitation from months to days, there's almost no time for a patch before attackers move.
2026 has seen 276 separate crypto exploits costing $1.2 billion so far. Many recent hacks (Coldcard, BTCPay Server) involved AI-aided vulnerability discovery or exploitation.
For users: Update software constantly, use reputable tools, enable multi-sig for large holdings. For developers: Shift-left security (test early), use formal verification, get audits from multiple firms.
In 2026, assuming 30-day patch windows is dangerous. Security requires 7-day response times and continuous monitoring. The cost of slow security is now measured in millions of dollars.
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