Blockchain and Cryptocurrency Transaction Identification and Visualization
Federal Deposit Insurance Corporation · Legal Division and Office of Inspector General
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2017-01 (month precision)Source: Jan-17
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Tool will improve ability to identify and track the flow of transactions executed on the blockchain.
Expected benefits
Making blockchain-based transactions more transparent and creating visualizations to facilitate understanding transaction flow, which supports identification of criminal activity by following the money through mixers, swaps and smart contracts.
System outputs
The outputs demonstrate the transactions across multiple blockchains.
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- Not open source.
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Chainalysis
- Vendors (standardized)
- Chainalysis
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- i) Income
- Training and evaluation data
- FDIC does not train the model.
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported