# $2 AI Audit Could Have Detected Coldcard Vulnerability Dragonfly's Haseeb Qureshi explains how AI is transforming cybersecurity economics in crypto. - **Source:** [Bitcoin News](https://brifing.si/source/d8aeaf1e-9839-4dad-9d25-7a6bf3fbeef8) - **Published:** 2026-08-04 - **Topic:** [Finance](https://brifing.si/c/finance) - **Original article:** - **On Brifing:** https://brifing.si/s/991f5077-e299-464e-9f5d-9ecf60127b28 ## Coldcard's Flaw and AI's Role A security vulnerability in Coldcard bitcoin wallets was detected by AI models in just 8 minutes. Dragonfly managing partner Haseeb Qureshi states this fundamentally changes cybersecurity economics. The entropy flaw caused some devices to rely on software-based randomness instead of hardware. Coinkite released emergency updates advising users to create new seeds. ## The $2 Revolution According to Qureshi's calculations, a security audit using Anthropic's Claude Code model cost only $2. In a second test without internet access, GLM 5.2 identified the same flaw in 20 minutes. Qureshi emphasized this affordability means companies can no longer excuse security oversights. AI's cost reduction in security scanning marks a new era for the industry. ## Cost of Discovery Metric Qureshi proposed a new measurement called Cost of Discovery (CoD). This metric calculates the expense for an AI model to independently identify vulnerabilities. Advocating for frontier AI in every software release, Qureshi argues traditional audits are now inadequate. Crypto companies especially need rapid adaptation to this new reality. ## Impact Across Industry Players Qureshi predicts larger crypto firms will gain advantages through greater AI security investments. Smaller companies may struggle against attackers who can scan code continuously at minimal cost. This could lead to consolidation in hardware wallet markets. Startups developing smart contracts or digital wallets must now implement pre-release AI audits. ## End of Open-Source Security Myth Qureshi challenges the traditional belief in open-source security. While public code protects against malicious developers, it doesn't automatically defend against AI-powered attackers. AI serves both defensive and offensive purposes, requiring complete security strategy overhauls. ## Wake-Up Call for the Industry The Coldcard incident serves as warning for hardware wallet manufacturers. Qureshi's analysis shows security has become a budget issue. Companies' investment in preemptive vulnerability discovery becomes critical. By 2026, flaw detection is matter of minutes, not hours, rendering traditional protocols obsolete. ## AI-Powered Defense Strategies Qureshi offers recommendations for developers' defensive AI use. Automated pre-release scans, continuous code monitoring, and anomaly detection become essentials. Financial product teams especially must integrate AI security solutions. 'We have no choice but to adapt,' Qureshi stresses the urgency. ## New Era in Crypto Security The Coldcard case marks a turning point for cryptocurrency security. AI's democratization of audits presents both opportunities and threats. Following Qureshi's warnings, industry investment in AI security appears inevitable. Security budgets and AI integration will determine crypto firms' survival in coming years. ## Sources covering this story - https://news.bitcoin.com/crypto-news/dragonflys-haseeb-qureshi-says-2-ai-audit-could-have-caught-coldcard-flaw/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._