The Shortened Validity of Security Audits by AI: A Paradigm Shift in Crypto Security and the Rise of Real-time Defense

As of July 9, 2026, the value of the 'security approval' granted by traditional smart contract security audits is lower than ever. Security experts warn that the validity period of standard crypto security audits is rapidly shortening from several months to just a few days. This is because AI-based exploit tools have reached a level where they can find vulnerabilities in codebases much faster than human auditors can review code and write reports.

Security audits are no longer the completion of security, but merely a basic starting point. The evolution of AI clearly reveals the temporal limitations of static audits, and the industry must now move toward permanent surveillance systems.

These warnings are not merely theoretical. Even protocols judged safe in early 2026 could, as of July, be in a state where they are easily compromised by evolved AI detection tools. As AI provides attackers with unprecedented speed and precision in the battle between security's spear and shield, the prevailing analysis is that past auditing methods are becoming virtually obsolete.

EVMBench's Breakthrough: The Emergence of GPT-5.3-Codex

At the core of this technological turning point is 'EVMBench,' an open-source benchmark co-announced by OpenAI and Paradigm in February 2026. According to this benchmark data, the GPT-5.3-Codex model recorded a phenomenal exploit success rate of 72.2% against real-world smart contract vulnerabilities. This is a quantum leap compared to the less than 20% success rate shown by the top models in the second half of 2025, just six months prior.

• Vulnerability detection success rate of AI models in Q3 2025: approximately 19.0%
• February 2026: GPT-5.3-Codex achieved a success rate of 72.2%
• An inflection point occurred where the learning curve of AI models surpassed the analytical capabilities of human security experts

This rapid improvement in AI performance turns the gap between the time a security audit is performed and actual deployment into a danger zone. Experts analyze that as AI's ability to analyze code and generate attack scenarios improves exponentially, the era of guaranteeing security with a single audit is over. Now, a dynamic and continuous verification system that goes beyond static analysis is essential.

In fact, the first half of 2026 is being recorded as a record-breaking period in terms of virtual asset hacking incidents. According to data from TRM Labs, 123 incidents occurred in the second quarter of 2026, breaking the record for the most incidents in a single quarter. This followed the record-breaking figures of the first quarter, and it was confirmed that 125 out of the 207 total incidents in the first half were attacks directly targeting smart contract vulnerabilities.

In particular, attack methods that use AI to thoroughly scan the codebases of "zombie" decentralized finance (DeFi) protocols—those that have been neglected or discontinued in the past—are becoming prevalent. As AI finds minute loopholes that human auditors missed years ago, cases of millions of dollars in customer funds being stolen are becoming frequent. This suggests that even old code is no longer a safe zone.

Shift in Regulatory Focus: From Virtual Assets to AI Governance

This shift is also clearly evident in the U.S. Securities and Exchange Commission's (SEC) announcement of its 2026 examination priorities. The SEC has pushed aside "Virtual Assets," which had been a major risk item for the past five years, and elevated "AI and Cybersecurity" to the most important management target. This demonstrates that regulatory authorities are taking the impact of technical vulnerabilities on the entire financial system seriously.

Furthermore, as the activity of autonomous AI agents surges, the introduction of "KYA (Know Your Agent)" standards is being discussed in earnest within the industry. In an environment where AI agents control funds and execute transactions without human intervention, managing their identities and permissions has emerged as a new security challenge. This signifies that the definition of security is expanding beyond simple code security into the realm of operational governance.

In response, security companies such as TestMachine are moving away from "point-in-time" static audits and introducing continuous monitoring systems based on Reinforcement Learning. This approach performs analysis in real-time based on execution data, and is evaluated to provide defense capabilities more closely aligned with actual usage environments than existing LLM-based detection that relies on simple predictions.

In conclusion, the crypto ecosystem of 2026 has entered the 'post-audit era'. While security audits remain an important step in building foundational trust, they are no longer a sufficient means of defense on their own. The future of Web3 security depends on the establishment of multi-layered defense layers that operate in real-time and are continuously enhanced by AI.