Introducing EchoBench: A Human Calibrated Benchmark for Autonomous Pentesting

A measured take on Anthropic's Mythos: autonomously chaining four vulnerabilities is a real inflection point, but teams should build their own benchmarks and keep human verification central.

A pentest shows Claude refuses to build an LSASS dumper, but local DeepSeek and uncensored Qwen models produce a working XOR-encrypted minidumper, making AI-assisted EDR evasion nearly effortless.

XBOW tested Grok 4.7 on exploit crafting and agentic pentests: inside xAI's Build it improved substantially over 4.6, outside Build it slipped slightly—orchestration now matters as much as prompts.

SpecterOps maps where AI helps offensive security (recon, tooling, vuln discovery) and where it still fails, stressing that results hinge on the harness: context, tools, state, independent validation, and human judgment.

How Project Zero evolved Project Naptime into Big Sleep, using large language models to find vulnerabilities in real-world software, with early results and observations.

Project Naptime evaluates the offensive security capabilities of large language models, presenting a methodology, tooling setup, and early successes finding real vulnerabilities.