#regulatory-technology News & Analysis

4 articles tagged with #regulatory-technology. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

CryptoNeutralChainalysis Blog · May 227/10

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OFAC and Crypto Crime: Every OFAC Specially Designated National with Identified Cryptocurrency Addresses

Chainalysis has compiled a comprehensive database of OFAC (Office of Foreign Assets Control) Specially Designated Nationals with identified cryptocurrency addresses, building on decades of U.S. Treasury sanctions enforcement. This analysis bridges traditional financial compliance with blockchain transparency, enabling better tracking of sanctioned entities operating in crypto markets.

GeneralNeutralSEC Press Releases · Jun 86/10

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SEC Establishes Joint Data Standards as Required Under the Financial Data Transparency Act of 2022

The SEC has finalized joint data standards under the Financial Data Transparency Act of 2022, establishing technical requirements for data submissions to financial regulatory agencies. This regulatory development aims to standardize how financial institutions report data across multiple regulators, reducing compliance fragmentation.

AINeutralarXiv – CS AI · Jun 26/10

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GovAI-Pipe: A Layered AI Governance Pipeline for Citizen-Facing AI in Turkey's e-Government Gateway

Researchers propose GovAI-Pipe, a technical governance framework that operationalizes AI policy principles into auditable deployment checkpoints for Turkey's e-Government Gateway, which serves 68 million users. The four-layer pipeline addresses the gap between high-level regulatory frameworks like the EU AI Act and the practical implementation of AI systems in citizen-facing government applications.

AINeutralarXiv – CS AI · May 16/10

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Knowledge Graph Representations for LLM-Based Policy Compliance Reasoning

Researchers have developed an agentic framework that uses knowledge graphs to help large language models understand and reason about AI policy documents. The system was tested on multiple AI safety regulations, demonstrating that knowledge graph augmentation improves LLM performance across various reasoning tasks from simple entity lookup to complex cross-policy inference.