The wave of change to help brands tackle new age AI adoption
2 PM ET
AI adoption is moving faster than most governance programs were designed to manage. As teams experiment with AI tools, embedded AI features, and third-party platforms, organizations face new blind spots around visibility, data exposure, policy enforcement, and accountability. The challenge is no longer just whether AI is being used, but whether security, compliance, legal, and risk teams can keep pace with how quickly that usage spreads.
Tune in to learn about:
Going AI-First: Tips on Acing SOC 2
AI is rapidly becoming embedded in products, workflows, and decision-making systems. But as organizations move faster with AI, compliance expectations evolve.
SOC 2 in the AI era isn’t harder — it’s different. Controls need to account for dynamic data flows, model usage, third-party AI tools, automation layers, and shifting ownership boundaries. Many teams assume existing compliance programs automatically extend to AI initiatives — but gaps in governance, documentation, and accountability often surface during audit readiness.
This session explores how modern teams can align AI adoption with SOC 2 requirements in a way that strengthens trust while preserving speed. We’ll unpack what changes in an AI-enabled environment, how to think about control maturity, and how to design systems that scale responsibly.
Meet our speakers
Who should attend?
This session is ideal for founders, security leaders, and compliance owners building or scaling AI-enabled systems. If you’re navigating SOC 2 while adopting AI tools, you’ll gain practical clarity on how to stay audit-ready without over-engineering your processes.
The wave of change to help brands tackle new age AI adoption
