The Search for AGI through Security: Introducing the World's First AI-Based Novel Attack Vector Researcher

XBOW tests your whole external application estate the way an attacker would, with no source code and no credentials, and proves what is exploitable.

Bugcrowd's Savant Forge combines fuzz testing with symbolic execution to surface real exploitable vulnerabilities in CI/CD pipelines, while Savant Runtime tracks live third-party components in production to support SBOM compliance.

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.

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

Using HacktronAI's OpenAI Discourse hack disclosure, this article covers sandboxing, runtime protection, and AI-assisted defense to shrink the blast radius of RCE across interconnected apps.

The author used AI to find a UAF bug in Linux net/sched and built an LPE exploit for CentOS 9 at TyphoonPwn 2026. AI sped things up, but deep subsystem knowledge still mattered.