Submission declined on 13 December 2023 by
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Submission declined on 13 December 2023 by
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Submission declined on 13 December 2023 by
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Submission declined on 13 December 2023 by
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Victor Fang is a Silicon Valley cybersecurity entrepreneur. He is the CEO of AnChain.AI, a leading Web3 Cybersecurity AI startup based in San Jose, California. He has made significant contributions to advancing Artificial Intelligence and Machine Learning, in fighting sophisticated cybersecurity threats and cryptocurrency hacks.
Victor Fang | |
---|---|
Born | January 3, 1990 |
Citizenship | United States of America |
Education | Ph.D. of Computer Science, University of Cincinnati |
Occupation | Entrepreneur |
Title | CEO, Chairman, AnChain.AI |
Board member of | AnChain.AI |
Website |
victorfang |
Victor Fang, Ph.D. is the CEO and Co-Founder of AnChain.AI, a Silicon Valley web3 cybersecurity startup that won RSA Conference Innovation Sandbox Award. [1] Dr. Fang is a Silicon Valley entrepreneur in Cybersecurity X AI. The technology he built has been empowering high profile customers ranging from governments to financial institutions and enterprises.
Prior to AnChain.AI, he has held data science leadership roles at FireEye Mandiant (acq' Google), Awake Security ( Greylock, acq' 2020), Pivotal Software (IPO 2018) and EMC. Victor has served as an Industry Advisor at UC Berkeley, and holds 20 US patents [2]. He authored the “Audit Practitioners’ Guide for Machine Learning” [3] [4]white papers at ISACA, the world’s largest IT auditing organization.
Dr. Fang was among the cybersecurity leaders that conducted pioneering research and featured by MIT Technology Review. "according to Victor Fang, cofounder and CEO of blockchain security firm AnChain.ai. Tens of thousands of contracts may contain some other kind of vulnerability, according to research conducted last year. And the very nature of public blockchains means that if a smart-contract bug exists, hackers will find it, since the source code is often visible on the blockchain. “This is very different than traditional cybersecurity." [5]
Dr. Fang was featured by Forbes in 2021, by the impactful government contract with the SEC, to leverage the technology is regulate and investigate the Decentralized Finance cryptocurrency industry. [6]
Dr. Fang and his AnChain.AI team won the CNBC Top Startup Award in 2022, for the innovations in improving enterprise Web3 and cryptocurrency adoptions, "The U.S. Securities and Exchange Commission awarded AnChain.AI a multi-year contract in September 2021 to provide a platform for analysis and tracing to support the SEC’s efforts to monitor risk, improve compliance and inform policy on digital assets and cryptocurrencies. ". [7]
Dr. Fang also served as Advisor and Investor to the Berkeley Skydeck [8], a world's leading startup incubator and venture capital firm affiliated with UC Berkeley. He is also a lecturer at DataX, a world class Data Science program in UC Berkeley. [9]
Submission declined on 13 December 2023 by
Jamiebuba (
talk). This submission's references do not show that the subject
qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published,
reliable,
secondary sources that are
independent of the subject (see the
guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see
technical help and learn about
mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
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Submission declined on 13 December 2023 by
QuantumRealm (
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guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see
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QuantumRealm 5 months ago. |
Submission declined on 13 December 2023 by
LittlePuppers (
talk). This submission's references do not show that the subject
qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published,
reliable,
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independent of the subject (see the
guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see
technical help and learn about
mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. This submission does not appear to be written in
the formal tone expected of an encyclopedia article. Entries should be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources. Please rewrite your submission in a more encyclopedic format. Please make sure to avoid
peacock terms that promote the subject. Declined by
LittlePuppers 5 months ago. |
Submission declined on 13 December 2023 by
WikiOriginal-9 (
talk). This submission's references do not show that the subject
qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published,
reliable,
secondary sources that are
independent of the subject (see the
guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see
technical help and learn about
mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. This submission appears to
read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's
verifiability policy and the
notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. Declined by
WikiOriginal-9 5 months ago. |
Victor Fang is a Silicon Valley cybersecurity entrepreneur. He is the CEO of AnChain.AI, a leading Web3 Cybersecurity AI startup based in San Jose, California. He has made significant contributions to advancing Artificial Intelligence and Machine Learning, in fighting sophisticated cybersecurity threats and cryptocurrency hacks.
Victor Fang | |
---|---|
Born | January 3, 1990 |
Citizenship | United States of America |
Education | Ph.D. of Computer Science, University of Cincinnati |
Occupation | Entrepreneur |
Title | CEO, Chairman, AnChain.AI |
Board member of | AnChain.AI |
Website |
victorfang |
Victor Fang, Ph.D. is the CEO and Co-Founder of AnChain.AI, a Silicon Valley web3 cybersecurity startup that won RSA Conference Innovation Sandbox Award. [1] Dr. Fang is a Silicon Valley entrepreneur in Cybersecurity X AI. The technology he built has been empowering high profile customers ranging from governments to financial institutions and enterprises.
Prior to AnChain.AI, he has held data science leadership roles at FireEye Mandiant (acq' Google), Awake Security ( Greylock, acq' 2020), Pivotal Software (IPO 2018) and EMC. Victor has served as an Industry Advisor at UC Berkeley, and holds 20 US patents [2]. He authored the “Audit Practitioners’ Guide for Machine Learning” [3] [4]white papers at ISACA, the world’s largest IT auditing organization.
Dr. Fang was among the cybersecurity leaders that conducted pioneering research and featured by MIT Technology Review. "according to Victor Fang, cofounder and CEO of blockchain security firm AnChain.ai. Tens of thousands of contracts may contain some other kind of vulnerability, according to research conducted last year. And the very nature of public blockchains means that if a smart-contract bug exists, hackers will find it, since the source code is often visible on the blockchain. “This is very different than traditional cybersecurity." [5]
Dr. Fang was featured by Forbes in 2021, by the impactful government contract with the SEC, to leverage the technology is regulate and investigate the Decentralized Finance cryptocurrency industry. [6]
Dr. Fang and his AnChain.AI team won the CNBC Top Startup Award in 2022, for the innovations in improving enterprise Web3 and cryptocurrency adoptions, "The U.S. Securities and Exchange Commission awarded AnChain.AI a multi-year contract in September 2021 to provide a platform for analysis and tracing to support the SEC’s efforts to monitor risk, improve compliance and inform policy on digital assets and cryptocurrencies. ". [7]
Dr. Fang also served as Advisor and Investor to the Berkeley Skydeck [8], a world's leading startup incubator and venture capital firm affiliated with UC Berkeley. He is also a lecturer at DataX, a world class Data Science program in UC Berkeley. [9]