Beyond the Model: Benchmarking Codex Security, Claude Security, and Nebu

This research provides technical context that security teams can use for monitoring and validation.

Provides verifiable, transparent evidence of advanced LLMs performing complex, multi-step binary and browser exploitation autonomously under strict ASLR and memory randomization defenses.

GitLab's internal eval of GPT-6 Astra on Duo Agent Platform: up to 43.4% faster typical runs than GPT-5.6 Sol (49.2% at p95) and 42.7% fewer tokens, traded against a lower resolution rate.

YesWeHack on using Codex for bug bounty research: in black-box labs it exploited a DOM XSS in under four minutes and won admin access via a JWT flaw, with subagents and skills aiding validation.

Bugcrowd on why agentic pen testing doesn't replace scanning: scanners flag what might be wrong, agentic testing proves what is exploitable, and layering both closes coverage gaps.

This coverage gives security teams current context for monitoring, validation, and remediation.