Using Public Data Sets to Monitor Dark Web Activity
Apr 24, 2024
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Adam Zarazynski, CEO of Inca Digital, discusses using AI to monitor dark web activity, tracking terrorist financing and trends in tech-driven value transfer. He explores the intersection of social media and financial markets, highlighting challenges like the Silicon Valley Bank incident. Also, he shares insights on combining data sources for monitoring, privacy concerns in compliance, and balancing ethics with technology in tracking dark web activity.
Leveraging natural language processing and large language models for risk management and monitoring dark web activity.
Adapting traditional finance risk management practices to Web3 and observing tech-driven value transfer trends.
Deep dives
Adam's Background in Intelligence and Cryptocurrency
Adam Zierzinski, a former intelligence professional and now CEO of Inca Digital, discussed his transition from working in intelligence to leading a fintech company specializing in data and analytics in the digital asset ecosystem. During his time in Afghanistan, where he focused on operational and intelligence work, he discovered cryptocurrency due to challenges in compensating individuals affected by incidents using traditional methods like cash payments.
Inca Digital's Approach to Risk Management and Intelligence
Inca Digital provides data analytics and intelligence services focused on risk management and enterprise-grade analytics for financial institutions and crypto service providers. Their goal is to foster proper risk management and intelligence in the crypto industry to facilitate growth and development, particularly in the United States. By combining structured data sets and content from various sources, they deliver insights, alerts, reports, and APIs to clients in the financial and government sectors.
Specific Examples of Inca Digital's Data Analysis
Inca Digital's data analysis includes monitoring tokens for market dynamics, liquidity analysis, and identifying potential scams or fraudulent activities related to token usage. They also track dark web activities involving illegal transactions like human trafficking and scams around token airdrops. By identifying patterns in data, the company provides tailored services to clients such as layer ones and financial institutions for risk mitigation and compliance.
Top-Down Approach to Data Analytics and Compliance in Finance
In contrast to forensic-focused companies, Inca Digital adopts a top-down approach to data analytics, emphasizing the use of open-source intelligence (OSINT) data for risk management, compliance, and industry monitoring. The company focuses on preemptive data analysis by identifying market trends, risks, and compliance needs using top-down data collection and analysis methods. This approach aids in understanding market dynamics, tracking regulatory compliance, and providing insights for decision-making across the finance sector.
Adam Zarazinski, CEO of Inca Digital and former intelligence analyst, shares his journey from the front lines of international security to leading the charge in harnessing AI for financial innovation. He discusses how Inca Digital’s technology is helping to monitor dark web activity, and gives examples of how they’ve been able to track terrorist financing, including Hamas’ use of cryptocurrency.
Key Takeaways:
Using natural language processing and large language models to tackle challenges like risk management and dark web surveillance.
How trad-fi risk management is changing with Web3, and the big trends Inca Digital is seeing in tech-driven value transfer.
The complexities that arise at the intersection of social media and financial markets, including the Silicon Valley Bank incident and the meme stock craze.
Guest Bio: Adam Zarazinski is a former intelligence professional that served as an analyst at INTERPOL, and as an intelligence and operations judge advocate with the United States Air Force.
Adam is now the CEO of Inca Digital, a fintech company that uses natural language processing and LLMs to provide data and analytics on the digital asset ecosystem to government agencies and financial institutions.
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