We hope you’ve had a peaceful return from your holiday and wish you a warm welcome to 2023!
Following the collapse of crypto markets and the rise in crypto crime last year, this year will bring about more regulation in the web3 industry. Our mission as a company is to bring trust and transparency to the blockchain, and here’s how we’re working towards that goal.
PolicyDock and Merkle Science Partnered to provide Improved Data Protection, Support for Users Affected by FTX Meltdown. This partnership will further help to prevent fraud and protect crypto assets by providing the insurance industry with innovative fraud-prevention tools.Read more about it
NUS Fintech - Merkle Science started the year with an event in collaboration with NUS Fintech, a crypto-focused training program. We collaborated with NUS Fintech Society to deliver a student workshop - "Gateway to Web3, Compliance and Security" - in association with BitDATA Exchange on January 13th.
Our HackHub report includes analyzing attack vectors and key techniques, the vulnerabilities that led to the exploits, and some mitigation strategies that could have prevented the loss of billions of dollars of users’ funds to illicit actors.
The Merklewatch Series- We’re kicking off a new series on YouTube that includes web3 updates, crypto crime news, compliance and regulatory changes, technology advancements in the industry, and more. Subscribe now to get updates
Our Webinar "Merkle Meets: 2023 Regulatory Forecast: Crypto winter, recovery, and rebound" featuring Timothy Massad and Jeff Bandman is now live. You can watch the full webinar here.
UK, Financial Conduct Authority has published feedback on good and poor quality applications after only 15 % of applications won regulatory approval.
Merkle Science provides predictive blockchain risk monitoring to help Web3 companies, financial institutions, and government agencies detect and prevent the illicit use of cryptocurrencies. Our mission is to provide infrastructure to enable the safe and healthy growth of cryptocurrencies. Our unique behavioural analytics and predictive risk models enable the detection of illicit addresses before they appear in databases ensuring effective risk monitoring for DeFi protocols and NFT players.