Managing Risk in Autonomous Software Development

As AI agents begin to write, test, and ship code continuously, enterprises face new risks around code provenance, security, and accountability. This session examines how to position humans as the governance layer over autonomous development, defining approval gates, policy controls, and audit trails for agent-generated software. It covers practical guardrails such as automated security review, scoped permissions, and traceability from requirement to commit. Attendees explore how to scale autonomous software production while maintaining quality, compliance, and control. (#SS Presented by Factory)