Cybersecurity entity
All 1 tracked stories fall under one category: security. Of the tracked stories, 1 of 1 also mention AI, the most common co-covered peer. Each story carries 2 original sources on average, compared with 2.5 for the broader beat in this window.
Last mentioned: Feb 19, 2026
Entity pulse
Coverage balance Positive coverage leads. Positive coverage exceeds negative coverage by 100 percentage points.
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
All 1 tracked stories fall under one category: security. Of the tracked stories, 1 of 1 also mention AI, the most common co-covered peer. Each story carries 2 original sources on average, compared with 2.5 for the broader beat in this window. At 6, the average consequence score sits below the same-window beat average of 6.3. EVMbench appears in 1 tracked Cybersecurity story from February 19, 2026.
Computed from the 1 stories linked to this entity, with beat comparisons drawn from all 24 Cybersecurity stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering EVMbench. Shared-story counts are live from our verified record — not editorial picks.
Industry Integration
Security researchers and developers begin benchmarking existing LLMs against the EVMbench dataset.
EVMbench Launch
OpenAI and Paradigm officially announce the release of the EVMbench framework for AI agent evaluation.
OpenAI and crypto venture firm Paradigm have introduced EVMbench, an evaluation framework designed to measure the proficiency of AI agents in identifying and remediating vulnerabilities within Ethereum smart contracts. This collaboration marks a significant step toward automating the auditing process for decentralized applications, potentially reducing the frequency of high-profile DeFi exploits.
EVMbench is linked from 1 story on this site, each scored at or above our 35% relevance threshold — see how these pages are built.
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