Data, AI, and Security Risk: Why Financial Institutions Must Act Now

AI is reshaping financial services, but is your data security program keeping pace?

Banks, insurers, asset managers, and fintechs are rapidly embedding AI into critical workflows:

• Real-time fraud detection
• Automated underwriting and claims processing
• Algorithmic trading and portfolio modeling
• GenAI copilots across customer service and internal operations

The opportunity is massive, but so is the risk. Many institutions are building their AI stack on outdated data security foundations: limited visibility, fragmented controls, and blind spots in how sensitive data flows through AI systems. AI models, copilots, and agents often operate without proper data governance or security oversight.

And while AI is the catalyst, it’s not the only reason to act. Preventing data breaches, proving compliance, and maintaining customer trust remain non-negotiable. The risks are real and rising under regulatory, board, and client scrutiny.

In this session, you'll learn:

1. Why financial institutions are modernizing data+AI security to meet business and regulatory needs
2. How to close the biggest data+AI blind spots across on-prem, cloud, SaaS, and GenAI systems
3. How integrated DSPM+AI Security controls unlock safe, scalable innovation across the enterprise

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