OpenHack: Always on AI Security Engineer

Partial The dashboard, scanner integrations, and reporting are buildable with AI help, but the core claim of near-zero false positives and autonomous exploit verification depends on deep security research that vibe coding alone won't produce.

What it would actually take: The stack would combine existing SAST and secret-scanning engines, dependency feeds such as OSV and GitHub Advisory, and LLM agents that reason over code paths and generate test requests. The hard parts are logic-level vulnerability discovery and automatic exploit verification in sandboxed environments without false positives, which requires security researchers and pentesters to design and validate the agents. Trust also requires ongoing benchmarking against real vulnerabilities and secure handling of customer code and credentials.