Privacy-Preserving Fraud Intelligence for India's Open Finance Ecosystem Using TEEs
summary
India faces about $4 billion annual loan fraud; a deployed Open Finance network with 285 million linked accounts and 431 million consents enables a privacy-first response. IKEA runs cross-institution velocity checks inside a Trusted Execution Environment (Google Cloud Confidential Space), broadcasting a mobile number to account aggregators, counting matching loan applications, and returning only an aggregate count in real time. A sandbox and functional velocity check API exist, pilots await regulator approval before live production testing.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 1:25Samati Labs projects
- 3:15IKEA fraud platform
- 5:04Loan fraud in India
- 7:35Fraud losses and detection
- 9:03DPDP privacy rules
- 10:52Confidential computing
- 13:25IKEA fraud workflow
- 15:53Technical architecture
- 19:08Status and roadmap
- 20:57Q&A
related talks
39mData Privacy Engineering to power Responsible Enterprise AI
39mSecurity Challenges in the World's Largest Open Finance Ecosystem
37mFraud prevention in the age of online privacy
27mUsing Blockchain and Cryptography to Enable Privacy-preserving and Inclusive Financia...
01h 17mBridging the Gap with PETs Governments' Opportunity to Lead on Innovation and Privacy
25mOpen Finance: Future is Open
25mEmbedded finance - Revolution for cooperation and customer value
12mLessons from years of building privacy-preserving technologies