This week at the Privacy and Security Forum at The George Washington University in Washington, D.C., the energy was unmistakable. The event brought together familiar faces and new connections, top-tier sessions, and yes, a daily ice cream social at 3:30 pm. In short, it was a blast.
AI Governance, Privacy, and Cybersecurity dominated the conversation, and the Relyance AI team, led by co-founder Leila Golcherach, joined in with two sessions: “Making Your Privacy Program AI-Ready,” presented alongside leaders from well known law firm Gunderson Detterman, and “AI Masterclass: A 201 Session for Professionals,” which featured myself and Leah Perry, Chief Privacy & AI Governance Officer at Box.
Across industries, whether decades-old enterprises or fast-moving startups, the message was clear: executives globally want to empower employees and product builders to leverage AI as much as possible to create efficiencies and maintain a competitive advantage. In today’s landscape, leveraging AI is no longer optional. The challenge comes from navigating the evolving patchwork of global privacy and AI regulations, many of which are intentionally high-level. For organizations trying to launch AI-enabled features or scale internal AI adoption, that ambiguity can be daunting.
In fact, several conference attendees shared they were ready to ship AI functionality but had to pause due to uncertainty around privacy and personal data protection, and how training data could be used – a nightmare scenario for any product team. Leila and other conference speakers echoed a broader theme: most organizations still lack a complete, trustworthy inventory of their AI systems, and understanding which data trains which models remains a significant hurdle.
Building on our leadership in Privacy Automation and AI Governance through AI adoption, we’re extending our core strengths, source code scanning, vendor scanning, and log analysis, to automatically generate complete first- and third-party AI inventories. Our platform reveals which data flows into each system, how it’s used, and the associated risks, helping global teams move from AI uncertainty to clarity and efficiency. As our Co-Founder, Leila Golchehreh shared during the conference, “AI can’t be trusted unless we understand how the underlying data moves and how and why it acts – observability is the compass, and AI itself is the only technology powerful enough to offer observability and governance.”
For organizations looking to build an AI-ready governance program grounded in visibility, automation, and real-time insight, we’re here to help.
You can learn more about our AI Governance platform and try it free for 30 days!
