Last mentioned: Feb 19, 2026
Initial Benchmark Results
Expected release of the first performance data comparing various LLMs on the EVMbench suite.
Framework Documentation Released
Detailed technical specifications for EVMbench are made available to the developer community.
EVMbench Unveiled
OpenAI and Paradigm announce the launch of the AI security testing framework.
OpenAI and Paradigm have introduced EVMbench, a specialized evaluation framework designed to measure the proficiency of AI agents in identifying and remediating smart contract vulnerabilities. This collaboration marks a significant step in leveraging large language models to bolster the security of the Ethereum ecosystem.
This page surfaces every story mentioning EVMbench across our crypto coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running crypto beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where EVMbench was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |