AI Scales Software‑Security Research

Autonomous AI research pipelines can reproduce and validate hundreds of previously unknown or hard‑to‑find software vulnerabilities at modest API cost, dramatically lowering the marginal cost of security discovery while shifting the bottleneck to human maintainers and responsible disclosure processes. This accelerates both patching capacity and the risk surface, because discovered issues require timely maintainer review, coordinated disclosure, and operational fixes before exploitation. — If AI makes large‑scale vulnerability discovery cheap, policy and governance must rework disclosure, maintainer funding, and liability to prevent mass exploitation and ensure fixes reach production.