AI is changing how organizations use data, but it's also creating new risks along the way. Sensitive data is flowing into model pipelines, training sets, third-party APIS and generative outputs. From data leaks in large language models to regulatory scrutiny around AI decision-making, the stakes are getting higher. Traditional security frameworks weren't built for this. Likewise, governance models need a rethink.
Join us for a special roundtable webinar on how to modernize your data strategy for the AI era. You'll get clear, actionable strategies for protecting sensitive data, ensuring responsible AI usage, and maintaining compliance in a fast-moving landscape.
You'll learn:
- How AI changes the data risk landscape
- Key governance frameworks for AI-powered systems
- Managing sensitive data in training and inference workflows
- Compliance, transparency, and auditability in the AI lifecycle
- Tools and best practices for scalable, enforceable governance
Presenters
Steve Karam
Steve Karam is an enterprise technologist and outcome-driven leader with diverse expertise in customer success, product management and engineering, education, SaaS, cloud, data technologies including AI/ML and natural language processing, and beyond across nearly every market vertical. A restless and relentless learner and advocate for personal and team growth who works primarily with federal, financial services, and healthcare organizations within Perforce. In the technical arena, Steve is proficient or expert level with cloud architecture, multiple RDBMS, NoSQL, multiple programming languages including Python and React, common DevOps & SDLC tools, AI/ML, SaaS architecture, blockchain, data analytics, and several other topics.
Steve has also been featured in publications, such as Forbes, where he's shared his technical prowess on topics like how to avoid data lake crocodiles.