OpenAI's EVMbench: A New Standard in AI-Based Security for Crypto

By Patricia Miller

Feb 18, 2026

2 min read

OpenAI reveals EVMbench, a system to benchmark AI agents in spotting and fixing crypto security vulnerabilities.

#What is EVMbench and How Does It Impact Security in Cryptocurrency?

EVMbench is a newly introduced benchmarking system by OpenAI that assesses how well AI agents can identify and rectify security vulnerabilities in crypto tokens and smart contracts. Developed in partnership with Paradigm, a prominent venture capital firm specializing in cryptocurrency, EVMbench sets forth a framework for standardized testing of vulnerabilities in software operating on Ethereum Virtual Machine-compatible blockchains.

How Does EVMbench Measure AI Performance?

EVMbench evaluates AI effectiveness in three main areas. First, it identifies weaknesses found within smart contracts. Second, it demonstrates the possible exploitation of these vulnerabilities. Finally, it applies corrective measures to fix the identified issues. This structured approach facilitates a comprehensive understanding of the security landscape in blockchain technology.

What Additional Measures Has OpenAI Implemented?

In addition to launching EVMbench, OpenAI has expanded its private beta program for Aardvark, an innovative security research agent. They have also committed a substantial $10 million in API credits through the Cybersecurity Grant Program, specifically aimed at supporting defensive research initiatives. This funding will focus on enhancing security for open-source projects and critical infrastructure, highlighting OpenAI's dedication to proactive cybersecurity efforts.

What Does This Mean for the Future of Autonomous AI Agents?

The release of EVMbench coincides with OpenAI's recent acquisition of OpenClaw, marking a significant movement toward autonomous AI capabilities. This strategic direction not only underscores OpenAI's focus on improving security within digital ecosystems but also indicates a broader intent to develop self-sufficient AI agents capable of addressing complex challenges in the cybersecurity domain. In this rapidly evolving landscape, understanding these developments can provide audiences with vital insights into future investment opportunities in technology and security sectors.

Important Notice And Disclaimer

This article does not provide any financial advice and is not a recommendation to deal in any securities or product. Investments may fall in value and an investor may lose some or all of their investment. Past performance is not an indicator of future performance.