Utilize Smarter SaaS AI Governance in Financial Services

Download to learn how to:
✔️ Detect hidden shadow AI tools across your organization
✔️ Create enforceable AI usage policies that protect sensitive data
✔️ Secure risky SaaS-to-SaaS AI connections before they cause breaches
✔️ Stay compliant with financial regulations while using AI
✔️ Control AI data access with real-time monitoring and alerts

This Guide is designed to help Security teams and SaaS Administrators in financial institutions govern AI usage in SaaS apps.

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Shadow AI is spreading faster than security teams can track it—and it can potentially touch everything across your SaaS applications. Within 24 hours of DeepSeek's launch, many companies discovered employees were already using it, despite strict policies against it. AI promises to boost productivity, but it introduces serious risks such as:

• Compliance violations: sensitive financial data shared with unapproved AI tools
• Data exposure: AI tools with excessive permissions accessing customer PII
• SaaS-to-SaaS risks: AI integrations creating dangerous connections low-trust and high-value tools
• Shadow AI sprawl: employees adopting unauthorized AI tools that bypass security controls
• Regulatory blind spots: unmonitored AI usage violating GDPR, GLBA, and banking regulations

The challenge for security leaders today is to support their organization's adoption of AI through proper governance while maintaining the strict data protection standards that financial services demand.

This Guide can help. It offers a complete framework for securing AI in financial services, from discovery and inventory to policy enforcement and compliance—developed by AI security experts specifically for regulated environments.

Download today and get AI governance ready.