AWS Webinar: Deploying, securing, and governing AI assistants at enterprise scale

Building enterprise AI governance that scales with innovation

As enterprises accelerate AI adoption, few have governance frameworks built for what comes next – the right access to the right data, data loss prevention, IP protection, and agent oversight. This 45-minute analyst-led session gives CIOs and technology leaders a practical framework for closing that gap, without slowing down the teams building your competitive advantage.

What you'll walk away with:

• An independent analyst perspective on enterprise AI governance: the trends, deployment patterns, and lessons peer organizations are using to balance speed with security
• A clear framework for selecting the right AI assistant for your enterprise and evaluation criteria that go beyond features to deployment confidence
• A live look at cross-ecosystem AI in action: see how an AI assistant works across Outlook, Slack, Salesforce, Jira, and more, with governance and DLP controls operating underneath

Featured Speakers

Steven Dickens CEO and Principal Analyst HyperFRAME Research

Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the CEO and Principal Analyst at HyperFRAME Research. Ranked consistently among the Top 10 Analysts by AR Insights and a contributor to Forbes, Steven's expert perspectives are sought after by tier one media outlets such as The Wall Street Journal and CNBC, and he is a regular on TV networks including the Schwab Network and Bloomberg. With senior leadership experience at Broadcom, Hewlett Packard Enterprise (HPE), and IBM, Steven has led multi hundred million dollar product initiatives and guided global sales teams with substantial revenue targets.

Steve Vinsik Principal Product Manager Agentic AI Governance and Security, AWS

Steve Vinsik is a Principal Product Manager at AWS, where he leads governance, identity, and security for Amazon Quick. He works directly with enterprise CIOs and CISOs to define the controls organizations need to adopt agentic AI at scale, including access permissions, guardrails, LLM model management, data loss prevention, and observability. Before joining Quick, Steve led product for AWS Identity, including IAM Identity Center and AWS Builder ID, which he scaled from launch to millions of users. He has spent more than 25 years delivering mission-critical security programs for governments, with executive roles at General Dynamics, Unisys, and Safran.