Agent Capability Is a System Design Problem: Lessons From a 90% Improvement on CyberGym
depthfirst.com | research | #ai-security | #benchmark | #ai-agents | #llm | #vulnerability-exploitation | #cybergym | #system-design
Summary
By redesigning its agent around the model, with better context, runtime instrumentation and a modular multi-agent architecture, depthfirst lifted CyberGym exploitation success from ~28% to 53%.
- Published
- Collected
--- id: 5442 title: "Agent Capability Is a System Design Problem: Lessons From a 90% Improvement on CyberGym" source_domain: depthfirst.com source_url: "https://depthfirst.com/research/agent-capability-is-a-system-design-problem-lessons-from-a-90-improvement-on-cybergym" published_at: "2025-11-24T00:00:00Z" tags: ["ai-security", "benchmark", "ai-agents", "llm", "vulnerability-exploitation", "cybergym", "system-design"] phying_url: "https://phying.com/item/5442" lang: en --- # Agent Capability Is a System Design Problem: Lessons From a 90% Improvement on CyberGym ## Summary By redesigning its agent around the model, with better context, runtime instrumentation and a modular multi-agent architecture, depthfirst lifted CyberGym exploitation success from ~28% to 53%. ## Intelligence Metadata - **Sources:** depthfirst.com - **Published:** 2025-11-24T00:00:00Z - **Original:** https://depthfirst.com/research/agent-capability-is-a-system-design-problem-lessons-from-a-90-improvement-on-cybergym - **Phying News:** https://phying.com/item/5442