No AI-Powered 'DeFi Hacking Apocalypse': Dragonfly's Haseeb Qureshi Analyzes H1 2026 Security Data

As of July 14, 2026, the 'AI hackpocalypse' feared by the decentralized finance (DeFi) industry does not yet seem to have materialized. At the end of 2025, security experts warned that AI automation tools would instantly find vulnerabilities in smart contracts and collapse the ecosystem, but data from the first half of 2026 suggests that this digital apocalypse was an unfounded fear.

Haseeb Qureshi, managing partner of cryptocurrency venture capital firm Dragonfly, emphasized that this pessimism was misplaced while analyzing security metrics for the first half of this year. He presented the fact that while attack attempts have increased, the total scale and median of actually successful hacks are decreasing as key evidence.

As the cryptocurrency market undergoes a complex macroeconomic environment and liquidity changes, AI in the security field appears to be establishing itself as an efficient defensive tool rather than a destructive weapon. This is being evaluated as a case where technological progress does not necessarily lead to a surge in crime, bringing a sense of relief to the industry.

Qureshi cited the fact that the annualized hack loss for 2026 is remaining lower than the total record for 2025 as an encouraging sign. He analyzed that the fear that AI would increase the sophistication of attacks and cause unprecedented damage does not match actual on-chain data.

The total value of assets stolen on-chain and the median damage per hack incident are noticeably decreasing compared to 2025, suggesting that the AI hackpocalypse was a false alarm.

According to SlowMist's latest report, a total of 182 blockchain security incidents occurred during the first half of 2026. This represents an approximately 50% increase in the number of incidents compared to the second half of 2025, but the total damage amounted to approximately $956 million, showing a downward stabilization trend compared to the previous year's levels.

First Half of 2026: Attacks Increased in Frequency but Decreased in Scale

CertiK's analysis also clearly showed a trend where the frequency of hacking incidents became more common, but the scale of damage per incident decreased. However, some analyses suggest that if specific major incidents are excluded, the loss in the first half of 2026 could appear approximately 28% higher than the same period last year, implying that attackers are repeatedly using AI for extensive scanning and attempts.

• Total of 182 security incidents in the first half of 2026 (approx. 50% increase compared to the second half of the previous year)
• Total damage in the first half recorded at approximately $956 million (downward trend compared to the previous year)
• April 2026 recorded as the worst month of the year, with $635 million leaked through 28 attacks
• AI attack tools achieved a 72.2% success rate in exploiting vulnerabilities within laboratory environments (EVMbench data)

April 2026 became the month with the most severe damage this year, with $635 million leaked through 28 exploits. However, it was revealed that the large-scale losses during this period were also primarily caused by existing design flaws and poor architecture rather than innovative attacks by AI.

In particular, the KelpDAO rsETH bridge incident caused a loss of approximately $292 million and had a cascading effect on major protocols such as Aave. Such cases suggest that structural vulnerabilities in infrastructure like bridges remain the greatest security risk, even more so than new AI-based threats.

Defensive AI's Counterattack and Smart Contract Protection

The security industry is responding by innovating audit processes using AI. OpenZeppelin reduced audit times by half through AI tools, and Anthropic's 'Claude Code Security,' released in February 2026, enhanced defensive capabilities by identifying over 500 vulnerabilities that had gone undetected for decades.

Of course, the use of AI by the attacking side is also accelerating, and according to EVMbench data, the exploit success rate of AI reaches 72.2%. The fact that the 'breakout time'—the time it takes for an attacker to start full-scale activities after initial penetration—has been shortened to an average of 29 minutes reminds security teams of the importance of real-time response.

Investment firms like Dragonfly are closely monitoring these changes in the security environment and adjusting their portfolio strategies. Haseeb Qureshi predicted that as security technology matures, consumer-oriented platforms such as prediction markets will expand rapidly despite legal uncertainties.

In conclusion, even in the second half of 2026, the AI hacking apocalypse is likely to remain a theoretical threat. If the current situation, where defensive AI technology is keeping pace with or outpacing the speed of the attacking side, is maintained, the DeFi ecosystem will be able to establish a more solid security foundation.