Add dedicated use case page for fraud detection and financial risk analysis

[SammyOina]

Is your feature request related to a problem? Please describe.

Currently, the website mentions "Finance" as a sector but provides only a brief description. Financial institutions desperately need solutions for collaborative fraud detection and risk analysis, similar to how Kaggle enables data scientists to build models on public datasets—but for sensitive financial data. Without demonstrating how Prism AI solves real financial problems, potential enterprise clients in this sector cannot visualize the concrete benefits.

Describe the feature you are requesting, as well as the possible use case(s) for it.

Create a dedicated page (/use-cases/fraud-detection) that showcases how Prism AI enables:

• Collaborative Fraud Detection: Multiple financial institutions pool anonymized transaction data to train better fraud detection models without exposing raw data
• Risk Assessment Collaboration: Banks collaborate on credit risk and market risk analysis using confidential computing
• Regulatory Compliance: Enable secure data sharing between institutions and regulators without exposing sensitive customer information
• Third-party Integration: FinTechs can safely collaborate with traditional banks on model development

The page should include:

• Real-world scenarios and pain points
• Technical architecture showing how Prism AI solves the problem
• Compliance benefits (GDPR, PCI-DSS)
• Case study or testimonial examples
• Clear call-to-action for enterprise inquiries

Indicate the importance of this feature to you.

Must-have

Anything else?

Emphasize the analogy: "Just as Kaggle enables collaborative data science on public datasets, Prism AI enables it on sensitive financial data—with total security and privacy."

[SammyOina]

• Must show secure computation (atls)
• Must show multi party computation
• more comprehensive tutorial on AI repo
• Needs to be real world example with plausible or real data