AI Generated Code is everywhere: How do we secure AI Code? Practical Steps

Gopal Dommety, Ph.D. is the Chief Executive Officer of OpsMx, a company advancing the automation and security of software delivery for the modern enterprise. Under his leadership, OpsMx is redefining how organizations build, secure, and release software—enabling developers to deliver innovation with speed, safety, and confidence.
A technologist and inventor, Dr. Dommety holds over 70 patents and is the principal author of several Internet Protocols (RFCs) that power today’s global networking infrastructure. His work has shaped critical areas of large-scale distributed systems, algorithmic design, and secure automation. He has also authored more than 20 peer-reviewed papers, book chapters, and journal publications, and previously led the Mind-Map Project, an AI research initiative focused on modeling behavioral and personality traits from user-generated data.
Before founding OpsMx, he was a General Partner at Neem Capital, a technology-focused investment firm, and held senior leadership roles in product management, research, and engineering at major technology companies and startups.
Rooted in humble beginnings from a remote village in India, Gopal’’s career is guided by the principles of simplicity, first-principles thinking, and purpose-driven innovation—values that continue to shape his vision for building secure, intelligent, and resilient technology systems that move the world forward.

Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures of OpsMx Enterprise for Spinnaker.

Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well known leader in continuous delivery and in the Spinnaker community.

Head of Artificial Intelligence with 25+ years of leadership experience across MNCs, startups, and mid-sized firms in Healthcare, Media, and Print Technology. I drive data science initiatives for smarter decisions, secure AI/ML, and operational efficiency. Expertise includes architecting CI/CD-embedded AI remediation systems, establishing AI security frameworks with scanning tools, and integrating human feedback for real-time tuning. Proven in end-to-end program delivery (SDLC), client consulting, enterprise solution architecture (Agile), and leading cross-functional teams through strategic execution and stakeholder management.