Mergers, acquisitions, and divestitures are high-stakes inflection points for financial institutions – and for their data. Sensitive information is often duplicated, exposed, or fragmented across legacy and cloud systems, increasing the risk of compliance violations, insider threats, and AI bias.
In this webinar, data and security leaders from Fiserv, Snowflake, and BigID unpack the real-world data governance challenges of M&A and share how a unified approach to discovery, classification, and access control can dramatically reduce risk. You’ll learn how leading organizations are using modern data platforms and automated intelligence to strengthen governance, streamline audits, and protect sensitive data – even amid structural change.
Join us to explore:
- The top data exposure and compliance risks that emerge during M&A, divestiture, and integration
- How to discover, classify, and separate sensitive data across entities — without slowing the deal
- The role of dynamic data masking, lineage, and policy automation in maintaining control
- How joint Snowflake + BigID capabilities help unify visibility, automate compliance, and reduce insider threat risk
- Why data governance is foundational to secure, scalable AI enablement post-merger
Whether you’re consolidating businesses, spinning off divisions, or integrating acquisitions, this session will show you how to maintain trust, compliance, and control over your most sensitive digital assets.
Speakers:
- Constantin Stanca, Field CTO for the FSI industry, Snowflake
- Ken Owens, VP Cloud Security, Fiserv
- Jeff Weber, Director, Solutions Engineering, BigID