SEC Signs Deal To Investigate DeFi
Forbes, Aug 2021
Victor Fang, Ph.D.
AI Entrepreneur on a mission. Engineer by training. Artist at heart. 🚀
San Francisco | Austin. ☀️
Victor Fang, Ph.D., is the CEO of AnChain.AI and a Silicon Valley entrepreneur innovating in Artificial Intelligence and Cybersecurity. Recognized as an RSA Innovation Sandbox Finalist and a CNBC Top Startup Award recipient, Dr. Fang has a proven track record of innovation with 20+ patents. Before founding AnChain.AI in 2018, he developed AI products empowering major organizations at Mandiant (now Google), Awake Security (acquired in 2020), Pivotal (IPO in 2018), and EMC. He authored the "Audit Practitioners' Guide for Machine Learning" whitepaper with ISACA, the leading IT auditing organization. Dr. Fang advises Berkeley Skydeck and has lectured at UC Berkeley, Stanford, and other prestigious institutions.
AI Products & Innovation 🚀
Building mission critical enterprise AI products that transform cybersecurity and financial crime prevention, with 20+ US patents since 2010:
- Financial Crime Prevention
- Founded AnChain.AI (San Francisco), leader in Cryptocurrency investigation and compliance
- Trusted by U.S. SEC, IRS, FinCEN, JFSA, and financial institutions in 40+ countries
- AI-powered investigations leading to $870M+ secured
- Enterprise Cybersecurity
- Founding Scientist at Awake Security (acq. by Arista), built AI/ML infrastructure when there was only a BP and $10 Million from Greylock.
- Led the APT threat detection AI efforts at Google Mandiant, for Global 3000 enterprises. [here]
- Financial Crime Detection
- Deployed ML models at Visa, Kaiser Permanente, Credit Suisse, for fraud detection, insider threats, AML compliance.
AI Safety & Compliance 🛡️
We are in the era of Generative AI. AI safety, compliance and regulation have never been so critical.
Since 2020, I've partnered with the world's largest IT auditor organization ISACA on various seminal AI risk white papers which have helped global organizations navigate the AI compliance landscape, esp. in NIST AI RMF, EU AI Act and more global AI compliance regulations.
Looking for AI compliance? DM me on Linkedin
Read more:
Investor & Advisor 💡
I invest and advise promising tech startups on their product, GTM, and fundraising; with Berkeley SkyDeck and Fang Ventures
Areas of interest: Generative AI, Creative Economy, Space Tech, Cybersecurity.
DM me on Linkedin
Teaching & Speaking 🎓
Guest lecturer at the UC Berkeley DataX program
- UC Berkeley / DataX
- Stanford: AI for Web3 Security
- Berkeley Blockchain / SCET
Featured Media
AnChain.AI Raises $10 Million and Wins SEC Contract
PR Newswire, Sep 2021
AnChain.AI Web3 Security
RSA Conference Innovation Sandbox Finalist, 2023
Tornado Cash, Zero Knowledge Proofs and Crypto Money Laudering
Yahoo Finance, 2021
Protecting Blockchain & Cryptocurrencies | Victor Fang
Podcast by Ripple
VentureBeat: Crypto Pump and Dump Research
VentureBeat
75% of DApp Transactions Are Made by Bots
CoinDesk
Security Architecture Podcast
2023
Blog
Railgun Demystified: The Billion-Dollar ZKP Cryptocurrency Investigation Challenge
November 20, 2024
Deep dive into Railgun's privacy mechanisms and how cutting-edge solutions can combat money laundering in DeFi...
Malicious PowerShell Detection via Machine Learning
July 10, 2018
How Mandiant (now Google) leverages artificial intelligence and machine learning to detect malicious PowerShell commands using Natural Language Processing...
Publications (selected)
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Machine Learning Approach to Identify Malicious Smart Contract Opcodes: A Preliminary Study
Victor Fang et al, Proceedings of Blockchain Kaigi 2023 (BCK23). DOI: 10.7566/JPSCP.43.011002. Available: Journal Link -
Multimodal Ensemble Fusion for Disambiguation and Retrieval
X. Zhou, D. Z. Wang, I. Patwa, D. Gong, and C. V. Fang, 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016, pp. 1–6. Available: IEEE Xplore -
Scalable Image Retrieval with Multimodal Fusion
Y. Peng, X. Zhou, D. Z. Wang, and C. V. Fang, Proceedings of the Twenty-Ninth International Conference on Artificial Intelligence (AAAI), 2016, pp. 1234–1240. Available: AAAI -
Triaging Anomalies in Dynamic Graphs: Towards Reducing False Positives
T. Wang, C. V. Fang, and C. M. Lai, 2015 IEEE International Conference on Big Data (Big Data), 2015, pp. 2341–2346. Available: IEEE Xplore -
Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation
D. Z. Wang, I. Patwa, D. Gong, and C. V. Fang, 2015 IEEE International Conference on Multimedia and Expo (ICME), 2015, pp. 1–6. Available: IEEE Xplore -
A Hybrid Learning from Multi-Behavior for Malicious Domain Detection on Enterprise Network
L. Shi, D. Lin, C. V. Fang, and Y. Zhai, 2015 IEEE International Conference on Big Data (Big Data), 2015, pp. 1452–1458. Available: IEEE Xplore -
Novel Frameworks for Mining Heterogeneous and Dynamic Networks
C. V. Fang, Doctoral dissertation, The Ohio State University, 2011. Available: ProQuest
Patents (selected)
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System and Method for Blockchain Automatic Tracing of Money Flow Using Artificial Intelligence
Patent number: 11907955, Filed: June 24, 2021, Date of Patent: February 20, 2024 -
Secure and Scalable Blockchain Smart Contract-Based Digital Asset Platform
Publication number: 20230419327, Filed: April 28, 2023, Publication date: December 28, 2023 -
Methods and Apparatus for Detecting and Preventing Obfuscated Cyberattacks Using Machine Learning Techniques
Patent number: 11620379, Filed: September 25, 2019, Date of Patent: April 4, 2023 -
Continuous Vulnerability Management System for Blockchain Smart Contract Based Digital Asset Using Sandbox and Artificial Intelligence
Patent number: 11526614, Filed: October 15, 2019, Date of Patent: December 13, 2022 -
System and Method for Blockchain Transaction Risk Management Using Machine Learning
Patent number: 11436615, Filed: August 28, 2020, Date of Patent: September 6, 2022 -
System and Method for Evaluating Security Entities in a Computing Environment
Patent number: 10362062, Filed: April 22, 2016, Date of Patent: July 23, 2019 -
System and Method for Identifying Security Entities in a Computing Environment
Patent number: 10142359, Filed: April 22, 2016, Date of Patent: November 27, 2018
Misc
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Kudos to Andrej Karpathy (karpathy.ai) for the minimalist inspiration.